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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import sys\n",
"sys.path.append(\"../../FinNLP\")"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"### Eastmoney"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"from finnlp.data_sources.social_media.eastmoney_streaming import Eastmoney_Streaming"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"pages = 3\n",
"stock = \"600519\""
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Downloading ... 0 1 2 "
]
}
],
"source": [
"downloader = Eastmoney_Streaming()\n",
"downloader.download_streaming_stock(stock, pages)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(241, 92)"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"downloader.dataframe.shape"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>post_id</th>\n",
" <th>post_title</th>\n",
" <th>stockbar_code</th>\n",
" <th>stockbar_name</th>\n",
" <th>stockbar_type</th>\n",
" <th>user_id</th>\n",
" <th>user_nickname</th>\n",
" <th>user_extendinfos</th>\n",
" <th>post_click_count</th>\n",
" <th>post_forward_count</th>\n",
" <th>...</th>\n",
" <th>relate_topic</th>\n",
" <th>zwpage_flag</th>\n",
" <th>source_post_comment_count</th>\n",
" <th>post_atuser</th>\n",
" <th>reply_list</th>\n",
" <th>content_type</th>\n",
" <th>repost_state</th>\n",
" <th>reptile_state</th>\n",
" <th>allow_likes_state</th>\n",
" <th>post_is_hot</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1324058647</td>\n",
" <td>贵州茅台：每股派25.911元 6月30日共计派发现金红利325.49亿元</td>\n",
" <td>600519</td>\n",
" <td>贵州茅台吧</td>\n",
" <td>100.0</td>\n",
" <td>7344113638256342</td>\n",
" <td>贵州茅台资讯</td>\n",
" <td>{'user_accreditinfos': None, 'deactive': '0', ...</td>\n",
" <td>3799</td>\n",
" <td>14</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>1 rows × 92 columns</p>\n",
"</div>"
],
"text/plain": [
" post_id post_title stockbar_code \\\n",
"0 1324058647 贵州茅台：每股派25.911元 6月30日共计派发现金红利325.49亿元 600519 \n",
"\n",
" stockbar_name stockbar_type user_id user_nickname \\\n",
"0 贵州茅台吧 100.0 7344113638256342 贵州茅台资讯 \n",
"\n",
" user_extendinfos post_click_count \\\n",
"0 {'user_accreditinfos': None, 'deactive': '0', ... 3799 \n",
"\n",
" post_forward_count ... relate_topic zwpage_flag \\\n",
"0 14 ... NaN NaN \n",
"\n",
" source_post_comment_count post_atuser reply_list content_type \\\n",
"0 NaN NaN NaN NaN \n",
"\n",
" repost_state reptile_state allow_likes_state post_is_hot \n",
"0 NaN NaN NaN NaN \n",
"\n",
"[1 rows x 92 columns]"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"downloader.dataframe.head(1)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>post_title</th>\n",
" <th>user_nickname</th>\n",
" <th>stockbar_name</th>\n",
" <th>post_click_count</th>\n",
" <th>post_forward_count</th>\n",
" <th>post_comment_count</th>\n",
" <th>post_publish_time</th>\n",
" <th>post_last_time</th>\n",
" <th>post_display_time</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>贵州茅台：每股派25.911元 6月30日共计派发现金红利325.49亿元</td>\n",
" <td>贵州茅台资讯</td>\n",
" <td>贵州茅台吧</td>\n",
" <td>3799</td>\n",
" <td>14</td>\n",
" <td>15</td>\n",
" <td>2023-06-25 22:17:50</td>\n",
" <td>2023-06-26 03:12:47</td>\n",
" <td>2023-06-25 22:17:50</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>贵州茅台:贵州茅台2022年年度权益分派实施公告</td>\n",
" <td>贵州茅台资讯</td>\n",
" <td>贵州茅台吧</td>\n",
" <td>6423</td>\n",
" <td>47</td>\n",
" <td>17</td>\n",
" <td>2023-06-25 15:32:42</td>\n",
" <td>2023-06-26 00:57:39</td>\n",
" <td>2023-06-26 00:00:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>将派发现金红利325.49亿元！贵州茅台上市以来累计分红超2000亿元</td>\n",
" <td>贵州茅台资讯</td>\n",
" <td>贵州茅台吧</td>\n",
" <td>460</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>2023-06-25 23:49:07</td>\n",
" <td>2023-06-25 23:49:07</td>\n",
" <td>2023-06-25 23:49:07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>茅台冰淇淋悄然卖数亿 年轻市场真被抓住了吗</td>\n",
" <td>贵州茅台资讯</td>\n",
" <td>贵州茅台吧</td>\n",
" <td>2612</td>\n",
" <td>15</td>\n",
" <td>11</td>\n",
" <td>2023-06-24 07:03:53</td>\n",
" <td>2023-06-25 18:48:21</td>\n",
" <td>2023-06-24 07:03:53</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>白酒本周跌5.49%原因是什么？下周怎么看？</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>10197</td>\n",
" <td>4</td>\n",
" <td>25</td>\n",
" <td>2023-06-24 12:29:53</td>\n",
" <td>2023-06-25 23:12:49</td>\n",
" <td>2023-06-24 12:29:53</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>本周持仓与下周交易计划</td>\n",
" <td>满仓日记</td>\n",
" <td>财富号评论吧</td>\n",
" <td>547</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>2023-06-25 20:30:54</td>\n",
" <td>2023-06-26 03:19:08</td>\n",
" <td>2023-06-25 20:30:54</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>茅台酒的估值真的是高</td>\n",
" <td>菩萨小跟班888</td>\n",
" <td>贵州茅台吧</td>\n",
" <td>33</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2023-06-26 03:02:14</td>\n",
" <td>2023-06-26 03:02:14</td>\n",
" <td>2023-06-26 03:02:14</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>茅台里面的资金估计要出来支持一些中小微企业政策导向[吃瓜]</td>\n",
" <td>菩萨小跟班888</td>\n",
" <td>贵州茅台吧</td>\n",
" <td>24</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2023-06-26 01:50:12</td>\n",
" <td>2023-06-26 01:50:12</td>\n",
" <td>2023-06-26 01:50:12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>每股市值收益率，还没有银行定期利息高呢。（远离泡沫浮云地震带）</td>\n",
" <td>章鱼帝的智慧</td>\n",
" <td>贵州茅台吧</td>\n",
" <td>33</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>2023-06-25 22:48:49</td>\n",
" <td>2023-06-26 01:20:04</td>\n",
" <td>2023-06-25 22:48:49</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>6月最后的倔强（浪潮信息，昆仑万维，鸿博股份）赛道复苏。</td>\n",
" <td>夏夏爱美丽</td>\n",
" <td>财富号评论吧</td>\n",
" <td>2459</td>\n",
" <td>0</td>\n",
" <td>34</td>\n",
" <td>2023-06-25 22:16:03</td>\n",
" <td>2023-06-26 00:45:53</td>\n",
" <td>2023-06-25 22:16:03</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" post_title user_nickname stockbar_name \\\n",
"0 贵州茅台：每股派25.911元 6月30日共计派发现金红利325.49亿元 贵州茅台资讯 贵州茅台吧 \n",
"1 贵州茅台:贵州茅台2022年年度权益分派实施公告 贵州茅台资讯 贵州茅台吧 \n",
"2 将派发现金红利325.49亿元！贵州茅台上市以来累计分红超2000亿元 贵州茅台资讯 贵州茅台吧 \n",
"3 茅台冰淇淋悄然卖数亿 年轻市场真被抓住了吗 贵州茅台资讯 贵州茅台吧 \n",
"4 白酒本周跌5.49%原因是什么？下周怎么看？ NaN NaN \n",
"5 本周持仓与下周交易计划 满仓日记 财富号评论吧 \n",
"6 茅台酒的估值真的是高 菩萨小跟班888 贵州茅台吧 \n",
"7 茅台里面的资金估计要出来支持一些中小微企业政策导向[吃瓜] 菩萨小跟班888 贵州茅台吧 \n",
"8 每股市值收益率，还没有银行定期利息高呢。（远离泡沫浮云地震带） 章鱼帝的智慧 贵州茅台吧 \n",
"9 6月最后的倔强（浪潮信息，昆仑万维，鸿博股份）赛道复苏。 夏夏爱美丽 财富号评论吧 \n",
"\n",
" post_click_count post_forward_count post_comment_count \\\n",
"0 3799 14 15 \n",
"1 6423 47 17 \n",
"2 460 1 0 \n",
"3 2612 15 11 \n",
"4 10197 4 25 \n",
"5 547 2 1 \n",
"6 33 0 0 \n",
"7 24 0 0 \n",
"8 33 0 1 \n",
"9 2459 0 34 \n",
"\n",
" post_publish_time post_last_time post_display_time \n",
"0 2023-06-25 22:17:50 2023-06-26 03:12:47 2023-06-25 22:17:50 \n",
"1 2023-06-25 15:32:42 2023-06-26 00:57:39 2023-06-26 00:00:00 \n",
"2 2023-06-25 23:49:07 2023-06-25 23:49:07 2023-06-25 23:49:07 \n",
"3 2023-06-24 07:03:53 2023-06-25 18:48:21 2023-06-24 07:03:53 \n",
"4 2023-06-24 12:29:53 2023-06-25 23:12:49 2023-06-24 12:29:53 \n",
"5 2023-06-25 20:30:54 2023-06-26 03:19:08 2023-06-25 20:30:54 \n",
"6 2023-06-26 03:02:14 2023-06-26 03:02:14 2023-06-26 03:02:14 \n",
"7 2023-06-26 01:50:12 2023-06-26 01:50:12 2023-06-26 01:50:12 \n",
"8 2023-06-25 22:48:49 2023-06-26 01:20:04 2023-06-25 22:48:49 \n",
"9 2023-06-25 22:16:03 2023-06-26 00:45:53 2023-06-25 22:16:03 "
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"selected_columns = [\"post_title\",\"user_nickname\", \"stockbar_name\" ,\"post_click_count\", \"post_forward_count\", \"post_comment_count\", \"post_publish_time\", \"post_last_time\", \"post_display_time\"]\n",
"downloader.dataframe[selected_columns].head(10)"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"### Facebook get cookies"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from selenium import webdriver\n",
"import json\n",
"\n",
"browser = webdriver.ChromiumEdge()\n",
"browser.get('https://www.facebook.com')\n"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Please login your account in the brower"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"cookies = browser.get_cookies() \n",
"with open(\"cookies.json\", \"w\", encoding=\"utf-8\") as cks:\n",
" json.dump(cookies, cks)"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"### Facebook"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"from finnlp.data_sources.social_media.facebook_streaming import Facebook_Streaming\n",
"import json"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"# load cookies\n",
"with open(\"cookies.json\", \"r\", encoding=\"utf-8\") as cks: \n",
" cookies = json.load(cks)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"config = {\n",
" \"cookies\":cookies, \n",
" \"headless\": False,\n",
" \"stealth_path\":\"../../FinNLP/finnlp/data_sources/social_media/stealth.min.js\"\n",
" }\n",
"pages = 3\n",
"stock = \"AAPL\""
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 17/17 [00:57<00:00, 3.37s/it]"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Only support the first page now!\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\n"
]
}
],
"source": [
"downloader = Facebook_Streaming(config)\n",
"downloader.download_streaming_stock(stock, pages)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>content</th>\n",
" <th>date</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>AAPL (Stock Market)</td>\n",
" <td>4h</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>Day 7\\nIntroduction to Stock Market\\nWhat you ...</td>\n",
" <td>6h</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>US: AAPL new high and breakout from two-year r...</td>\n",
" <td>1d</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" content date\n",
"6 AAPL (Stock Market) 4h\n",
"8 Day 7\\nIntroduction to Stock Market\\nWhat you ... 6h\n",
"11 US: AAPL new high and breakout from two-year r... 1d"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"downloader.dataframe"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"### Xueqiu / 雪球"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"from finnlp.data_sources.social_media.xueqiu_streaming import Xueqiu_Streaming"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"pages = 3\n",
"stock = \"茅台\""
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Downloading ... 0 1 2 "
]
}
],
"source": [
"downloader = Xueqiu_Streaming()\n",
"downloader.download_streaming_stock(stock, pages)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(29, 53)"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"downloader.dataframe.shape"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
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"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>blocked</th>\n",
" <th>blocking</th>\n",
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" <th>created_at</th>\n",
" <th>description</th>\n",
" <th>donate_count</th>\n",
" <th>donate_snowcoin</th>\n",
" <th>editable</th>\n",
" <th>...</th>\n",
" <th>truncated_by</th>\n",
" <th>type</th>\n",
" <th>user</th>\n",
" <th>user_id</th>\n",
" <th>view_count</th>\n",
" <th>firstImg</th>\n",
" <th>pic_sizes</th>\n",
" <th>edited_at</th>\n",
" <th>quote_cards</th>\n",
" <th>symbol_id</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>True</td>\n",
" <td>0</td>\n",
" <td>False</td>\n",
" <td>2023-06-25 12:15:07</td>\n",
" <td><a href=\"http://xueqiu.com/S/SZ000860\" target=...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>True</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>{'allow_all_stock': False, 'block_status': 0, ...</td>\n",
" <td>8364804052</td>\n",
" <td>471</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>1 rows × 53 columns</p>\n",
"</div>"
],
"text/plain": [
" blocked blocking canEdit commentId controversial created_at \\\n",
"0 False False True 0 False 2023-06-25 12:15:07 \n",
"\n",
" description donate_count \\\n",
"0 <a href=\"http://xueqiu.com/S/SZ000860\" target=... 0 \n",
"\n",
" donate_snowcoin editable ... truncated_by type \\\n",
"0 0 True ... 0 2 \n",
"\n",
" user user_id view_count \\\n",
"0 {'allow_all_stock': False, 'block_status': 0, ... 8364804052 471 \n",
"\n",
" firstImg pic_sizes edited_at quote_cards symbol_id \n",
"0 NaN NaN NaN NaN NaN \n",
"\n",
"[1 rows x 53 columns]"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"downloader.dataframe.head(1)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
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" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>created_at</th>\n",
" <th>description</th>\n",
" <th>title</th>\n",
" <th>text</th>\n",
" <th>target</th>\n",
" <th>source</th>\n",
" <th>user</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2023-06-25 12:15:07</td>\n",
" <td><a href=\"http://xueqiu.com/S/SZ000860\" target=...</td>\n",
" <td></td>\n",
" <td><a href=\"http://xueqiu.com/S/SZ000860\" target=...</td>\n",
" <td>/8364804052/253976413</td>\n",
" <td>Android</td>\n",
" <td>{'allow_all_stock': False, 'block_status': 0, ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2023-06-25 12:14:22</td>\n",
" <td><a href=\"http://xueqiu.com/S/SH600519\" target=...</td>\n",
" <td></td>\n",
" <td><p><a href=\"http://xueqiu.com/S/SH600519\" targ...</td>\n",
" <td>/4631817224/253976390</td>\n",
" <td>雪球</td>\n",
" <td>{'allow_all_stock': False, 'block_status': 0, ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2023-06-25 12:13:01</td>\n",
" <td>...提高。白酒：五粮液、迎驾贡酒、<span class='highlight'>茅台</...</td>\n",
" <td>6.25 赛道和白马的机会</td>\n",
" <td><p>这个假期外围的环境不太好，已经是基本共识了。明天开盘大A承压低开也基本是一致预期。这么...</td>\n",
" <td>/4322952939/253976335</td>\n",
" <td>雪球</td>\n",
" <td>{'allow_all_stock': False, 'block_status': 0, ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2023-06-25 11:58:55</td>\n",
" <td>茅台发生活费了</td>\n",
" <td></td>\n",
" <td>茅台发生活费了<br/><img class=\"ke_img\" src=\"https://x...</td>\n",
" <td>/4653939718/253975764</td>\n",
" <td>iPhone</td>\n",
" <td>{'allow_all_stock': False, 'block_status': 0, ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2023-06-25 11:54:05</td>\n",
" <td>...业绩及股价，形成正反馈。当年<span class='highlight'>茅台</s...</td>\n",
" <td>持仓吹票，共同致富</td>\n",
" <td><p><a href=\"http://xueqiu.com/k?q=%23%E4%BB%A5...</td>\n",
" <td>/8113901491/253975613</td>\n",
" <td>Android</td>\n",
" <td>{'allow_all_stock': False, 'block_status': 0, ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>2023-06-25 11:50:11</td>\n",
" <td>微酒酒业快讯，6月25日，酒业新闻一览-·企业动态·-01<span class='high...</td>\n",
" <td>6.25：<span class='highlight'>茅</span><span cla...</td>\n",
" <td><p><img class=\"ke_img\" src=\"https://xqimg.imed...</td>\n",
" <td>/3615583399/253975485</td>\n",
" <td>雪球</td>\n",
" <td>{'allow_all_stock': False, 'block_status': 0, ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>2023-06-25 11:48:42</td>\n",
" <td><a href=\"http://xueqiu.com/S/SH603027\" target=...</td>\n",
" <td></td>\n",
" <td><a href=\"http://xueqiu.com/S/SH603027\" target=...</td>\n",
" <td>/2659542807/253975430</td>\n",
" <td>iPhone</td>\n",
" <td>{'allow_all_stock': False, 'block_status': 0, ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>2023-06-25 11:45:54</td>\n",
" <td>段永平说：我不鼓励小散投<a href=\"https://xueqiu.com/S/AAPL...</td>\n",
" <td></td>\n",
" <td>段永平说：我不鼓励小散投<a href=\"https://xueqiu.com/S/AAPL...</td>\n",
" <td>/9456980430/253975338</td>\n",
" <td>iPhone</td>\n",
" <td>{'allow_all_stock': False, 'block_status': 0, ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>2023-06-25 11:33:01</td>\n",
" <td>泸州老窖酒传统酿制技艺第二十三代传承人·国窖1573·曾娜大师鉴藏版，端午举杯小酒。<br/...</td>\n",
" <td></td>\n",
" <td>泸州老窖酒传统酿制技艺第二十三代传承人·国窖1573·曾娜大师鉴藏版，端午举杯小酒。<br/...</td>\n",
" <td>/9893982765/253974916</td>\n",
" <td>Android</td>\n",
" <td>{'allow_all_stock': False, 'block_status': 0, ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>2023-06-25 11:25:44</td>\n",
" <td>...酒店中，白酒卖得最好的往往不是<span class='highlight'>茅台</...</td>\n",
" <td>街头没生意的烟酒店，为什么不会倒闭</td>\n",
" <td><p><img class=\"ke_img\" src=\"https://xqimg.imed...</td>\n",
" <td>/5497522856/253974630</td>\n",
" <td>雪球</td>\n",
" <td>{'allow_all_stock': False, 'block_status': 0, ...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" created_at description \\\n",
"0 2023-06-25 12:15:07 <a href=\"http://xueqiu.com/S/SZ000860\" target=... \n",
"1 2023-06-25 12:14:22 <a href=\"http://xueqiu.com/S/SH600519\" target=... \n",
"2 2023-06-25 12:13:01 ...提高。白酒：五粮液、迎驾贡酒、<span class='highlight'>茅台</... \n",
"3 2023-06-25 11:58:55 茅台发生活费了 \n",
"4 2023-06-25 11:54:05 ...业绩及股价，形成正反馈。当年<span class='highlight'>茅台</s... \n",
"5 2023-06-25 11:50:11 微酒酒业快讯，6月25日，酒业新闻一览-·企业动态·-01<span class='high... \n",
"6 2023-06-25 11:48:42 <a href=\"http://xueqiu.com/S/SH603027\" target=... \n",
"7 2023-06-25 11:45:54 段永平说：我不鼓励小散投<a href=\"https://xueqiu.com/S/AAPL... \n",
"8 2023-06-25 11:33:01 泸州老窖酒传统酿制技艺第二十三代传承人·国窖1573·曾娜大师鉴藏版，端午举杯小酒。<br/... \n",
"9 2023-06-25 11:25:44 ...酒店中，白酒卖得最好的往往不是<span class='highlight'>茅台</... \n",
"\n",
" title \\\n",
"0 \n",
"1 \n",
"2 6.25 赛道和白马的机会 \n",
"3 \n",
"4 持仓吹票，共同致富 \n",
"5 6.25：<span class='highlight'>茅</span><span cla... \n",
"6 \n",
"7 \n",
"8 \n",
"9 街头没生意的烟酒店，为什么不会倒闭 \n",
"\n",
" text target \\\n",
"0 <a href=\"http://xueqiu.com/S/SZ000860\" target=... /8364804052/253976413 \n",
"1 <p><a href=\"http://xueqiu.com/S/SH600519\" targ... /4631817224/253976390 \n",
"2 <p>这个假期外围的环境不太好，已经是基本共识了。明天开盘大A承压低开也基本是一致预期。这么... /4322952939/253976335 \n",
"3 茅台发生活费了<br/><img class=\"ke_img\" src=\"https://x... /4653939718/253975764 \n",
"4 <p><a href=\"http://xueqiu.com/k?q=%23%E4%BB%A5... /8113901491/253975613 \n",
"5 <p><img class=\"ke_img\" src=\"https://xqimg.imed... /3615583399/253975485 \n",
"6 <a href=\"http://xueqiu.com/S/SH603027\" target=... /2659542807/253975430 \n",
"7 段永平说：我不鼓励小散投<a href=\"https://xueqiu.com/S/AAPL... /9456980430/253975338 \n",
"8 泸州老窖酒传统酿制技艺第二十三代传承人·国窖1573·曾娜大师鉴藏版，端午举杯小酒。<br/... /9893982765/253974916 \n",
"9 <p><img class=\"ke_img\" src=\"https://xqimg.imed... /5497522856/253974630 \n",
"\n",
" source user \n",
"0 Android {'allow_all_stock': False, 'block_status': 0, ... \n",
"1 雪球 {'allow_all_stock': False, 'block_status': 0, ... \n",
"2 雪球 {'allow_all_stock': False, 'block_status': 0, ... \n",
"3 iPhone {'allow_all_stock': False, 'block_status': 0, ... \n",
"4 Android {'allow_all_stock': False, 'block_status': 0, ... \n",
"5 雪球 {'allow_all_stock': False, 'block_status': 0, ... \n",
"6 iPhone {'allow_all_stock': False, 'block_status': 0, ... \n",
"7 iPhone {'allow_all_stock': False, 'block_status': 0, ... \n",
"8 Android {'allow_all_stock': False, 'block_status': 0, ... \n",
"9 雪球 {'allow_all_stock': False, 'block_status': 0, ... "
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"selected_columns = [\"created_at\", \"description\", \"title\", \"text\", \"target\", \"source\", \"user\"]\n",
"downloader.dataframe[selected_columns].head(10)"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"### Stocktwits Streaming"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"from finnlp.data_sources.social_media.stocktwits_streaming import Stocktwits_Streaming"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"pages = 3\n",
"stock = \"AAPL\"\n",
"config = {\n",
" \"use_proxy\": \"us_free\",\n",
" \"max_retry\": 5,\n",
" \"proxy_pages\": 2,\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Checking ips: 100%|██████████| 30/30 [01:07<00:00, 2.24s/it]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Get proxy ips: 30.\n",
"Usable proxy ips: 29.\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 3/3 [00:05<00:00, 1.68s/it]\n"
]
}
],
"source": [
"downloader = Stocktwits_Streaming(config)\n",
"downloader.download_streaming_stock(stock, pages)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>id</th>\n",
" <th>body</th>\n",
" <th>created_at</th>\n",
" <th>user</th>\n",
" <th>source</th>\n",
" <th>symbols</th>\n",
" <th>prices</th>\n",
" <th>mentioned_users</th>\n",
" <th>entities</th>\n",
" <th>liked_by_self</th>\n",
" <th>reshared_by_self</th>\n",
" <th>links</th>\n",
" <th>reshare_message</th>\n",
" <th>conversation</th>\n",
" <th>likes</th>\n",
" <th>reshares</th>\n",
" <th>network</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>522005335</td>\n",
" <td>NANCY PELOSI JUST BOUGHT 10,000 SHARES OF APPL...</td>\n",
" <td>2023-04-07T15:24:22Z</td>\n",
" <td>{'id': 4744627, 'username': 'JavierAyala', 'na...</td>\n",
" <td>{'id': 1149, 'title': 'StockTwits for iOS', 'u...</td>\n",
" <td>[{'id': 686, 'symbol': 'AAPL', 'symbol_mic': '...</td>\n",
" <td>[{'id': 686, 'symbol': 'AAPL', 'symbol_mic': '...</td>\n",
" <td>[]</td>\n",
" <td>{'sentiment': None}</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>522004768</td>\n",
" <td>$AAPL $SPY \\n \\nhttps://amp.scmp.com/news/chi...</td>\n",
" <td>2023-04-07T15:17:43Z</td>\n",
" <td>{'id': 6330207, 'username': 'PlainFacts_2121',...</td>\n",
" <td>{'id': 2269, 'title': 'StockTwits Web', 'url':...</td>\n",
" <td>[{'id': 686, 'symbol': 'AAPL', 'symbol_mic': '...</td>\n",
" <td>[{'id': 686, 'symbol': 'AAPL', 'symbol_mic': '...</td>\n",
" <td>[]</td>\n",
" <td>{'sentiment': None}</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>[{'title': 'China officials who abused health ...</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" id body \\\n",
"0 522005335 NANCY PELOSI JUST BOUGHT 10,000 SHARES OF APPL... \n",
"1 522004768 $AAPL $SPY \\n \\nhttps://amp.scmp.com/news/chi... \n",
"\n",
" created_at user \\\n",
"0 2023-04-07T15:24:22Z {'id': 4744627, 'username': 'JavierAyala', 'na... \n",
"1 2023-04-07T15:17:43Z {'id': 6330207, 'username': 'PlainFacts_2121',... \n",
"\n",
" source \\\n",
"0 {'id': 1149, 'title': 'StockTwits for iOS', 'u... \n",
"1 {'id': 2269, 'title': 'StockTwits Web', 'url':... \n",
"\n",
" symbols \\\n",
"0 [{'id': 686, 'symbol': 'AAPL', 'symbol_mic': '... \n",
"1 [{'id': 686, 'symbol': 'AAPL', 'symbol_mic': '... \n",
"\n",
" prices mentioned_users \\\n",
"0 [{'id': 686, 'symbol': 'AAPL', 'symbol_mic': '... [] \n",
"1 [{'id': 686, 'symbol': 'AAPL', 'symbol_mic': '... [] \n",
"\n",
" entities liked_by_self reshared_by_self \\\n",
"0 {'sentiment': None} False False \n",
"1 {'sentiment': None} False False \n",
"\n",
" links reshare_message \\\n",
"0 NaN NaN \n",
"1 [{'title': 'China officials who abused health ... NaN \n",
"\n",
" conversation likes reshares network \n",
"0 NaN NaN NaN NaN \n",
"1 NaN NaN NaN NaN "
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = downloader.dataframe\n",
"df.head(2)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>created_at</th>\n",
" <th>body</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2023-04-07T15:24:22Z</td>\n",
" <td>NANCY PELOSI JUST BOUGHT 10,000 SHARES OF APPL...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2023-04-07T15:17:43Z</td>\n",
" <td>$AAPL $SPY \\n \\nhttps://amp.scmp.com/news/chi...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2023-04-07T15:17:25Z</td>\n",
" <td>$AAPL $GOOG $AMZN I took a Trump today. \\n\\nH...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2023-04-07T15:16:54Z</td>\n",
" <td>$SPY $AAPL will take this baby down, time for ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2023-04-07T15:11:37Z</td>\n",
" <td>$SPY $3T it ALREADY DID - look at the pre-COV...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>2023-04-07T15:10:29Z</td>\n",
" <td>$AAPL $QQQ $STUDY We are on to the next one! A...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>2023-04-07T15:06:00Z</td>\n",
" <td>$AAPL was analyzed by 48 analysts. The buy con...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>2023-04-07T14:54:29Z</td>\n",
" <td>$AAPL both retiring. \\n \\nCraig....</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>2023-04-07T14:40:06Z</td>\n",
" <td>$SPY $QQQ $TSLA $AAPL SPY 500 HAS STARTED🚀😍 BI...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>2023-04-07T14:38:57Z</td>\n",
" <td>Nancy 🩵 (Tim) $AAPL</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" created_at body\n",
"0 2023-04-07T15:24:22Z NANCY PELOSI JUST BOUGHT 10,000 SHARES OF APPL...\n",
"1 2023-04-07T15:17:43Z $AAPL $SPY \\n \\nhttps://amp.scmp.com/news/chi...\n",
"2 2023-04-07T15:17:25Z $AAPL $GOOG $AMZN I took a Trump today. \\n\\nH...\n",
"3 2023-04-07T15:16:54Z $SPY $AAPL will take this baby down, time for ...\n",
"4 2023-04-07T15:11:37Z $SPY $3T it ALREADY DID - look at the pre-COV...\n",
"5 2023-04-07T15:10:29Z $AAPL $QQQ $STUDY We are on to the next one! A...\n",
"6 2023-04-07T15:06:00Z $AAPL was analyzed by 48 analysts. The buy con...\n",
"7 2023-04-07T14:54:29Z $AAPL both retiring. \\n \\nCraig....\n",
"8 2023-04-07T14:40:06Z $SPY $QQQ $TSLA $AAPL SPY 500 HAS STARTED🚀😍 BI...\n",
"9 2023-04-07T14:38:57Z Nancy 🩵 (Tim) $AAPL"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"selected_columns = [\"created_at\", \"body\"]\n",
"df[selected_columns].head(10)"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"### Reddit Wallstreetbets Streaming"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"from finnlp.data_sources.social_media.reddit_streaming import Reddit_Streaming"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"pages = 3\n",
"config = {\n",
" # \"use_proxy\": \"us_free\",\n",
" \"max_retry\": 5,\n",
" \"proxy_pages\": 2,\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Downloading by pages...: 100%|██████████| 3/3 [00:08<00:00, 2.83s/it]\n"
]
}
],
"source": [
"downloader = Reddit_Streaming(config)\n",
"downloader.download_streaming_all(pages)"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>id</th>\n",
" <th>numComments</th>\n",
" <th>created</th>\n",
" <th>score</th>\n",
" <th>distinguishType</th>\n",
" <th>isLocked</th>\n",
" <th>isStickied</th>\n",
" <th>thumbnail</th>\n",
" <th>title</th>\n",
" <th>author</th>\n",
" <th>...</th>\n",
" <th>postEventInfo</th>\n",
" <th>predictionTournament</th>\n",
" <th>reactedFrom</th>\n",
" <th>removedBy</th>\n",
" <th>removedByCategory</th>\n",
" <th>subreddit</th>\n",
" <th>suggestedCommentSort</th>\n",
" <th>topAwardedType</th>\n",
" <th>url</th>\n",
" <th>whitelistStatus</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>t3_12epaq0</td>\n",
" <td>8</td>\n",
" <td>1680881974000</td>\n",
" <td>0</td>\n",
" <td>None</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>{'url': 'https://b.thumbs.redditmedia.com/W8hd...</td>\n",
" <td>Y’all making me feel like spooderman</td>\n",
" <td>ghostwholags</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>t3_zr9v10</td>\n",
" <td>0</td>\n",
" <td>1671595782000</td>\n",
" <td>2</td>\n",
" <td>None</td>\n",
" <td>True</td>\n",
" <td>False</td>\n",
" <td>{'url': 'https://b.thumbs.redditmedia.com/dJqb...</td>\n",
" <td>Do you track your investments in a spreadsheet...</td>\n",
" <td>sharesight</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>2 rows × 100 columns</p>\n",
"</div>"
],
"text/plain": [
" id numComments created score distinguishType isLocked \\\n",
"0 t3_12epaq0 8 1680881974000 0 None False \n",
"1 t3_zr9v10 0 1671595782000 2 None True \n",
"\n",
" isStickied thumbnail \\\n",
"0 False {'url': 'https://b.thumbs.redditmedia.com/W8hd... \n",
"1 False {'url': 'https://b.thumbs.redditmedia.com/dJqb... \n",
"\n",
" title author ... \\\n",
"0 Y’all making me feel like spooderman ghostwholags ... \n",
"1 Do you track your investments in a spreadsheet... sharesight ... \n",
"\n",
" postEventInfo predictionTournament reactedFrom removedBy removedByCategory \\\n",
"0 NaN NaN NaN NaN NaN \n",
"1 NaN NaN NaN NaN NaN \n",
"\n",
" subreddit suggestedCommentSort topAwardedType url whitelistStatus \n",
"0 NaN NaN NaN NaN NaN \n",
"1 NaN NaN NaN NaN NaN \n",
"\n",
"[2 rows x 100 columns]"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = downloader.dataframe\n",
"df.head(2)"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>id</th>\n",
" <th>numComments</th>\n",
" <th>created</th>\n",
" <th>score</th>\n",
" <th>distinguishType</th>\n",
" <th>isLocked</th>\n",
" <th>isStickied</th>\n",
" <th>thumbnail</th>\n",
" <th>title</th>\n",
" <th>author</th>\n",
" <th>...</th>\n",
" <th>postEventInfo</th>\n",
" <th>predictionTournament</th>\n",
" <th>reactedFrom</th>\n",
" <th>removedBy</th>\n",
" <th>removedByCategory</th>\n",
" <th>subreddit</th>\n",
" <th>suggestedCommentSort</th>\n",
" <th>topAwardedType</th>\n",
" <th>url</th>\n",
" <th>whitelistStatus</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>t3_12epaq0</td>\n",
" <td>8</td>\n",
" <td>2023-04-07 15:39:34</td>\n",
" <td>0</td>\n",
" <td>None</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>{'url': 'https://b.thumbs.redditmedia.com/W8hd...</td>\n",
" <td>Y’all making me feel like spooderman</td>\n",
" <td>ghostwholags</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>t3_zr9v10</td>\n",
" <td>0</td>\n",
" <td>2022-12-21 04:09:42</td>\n",
" <td>2</td>\n",
" <td>None</td>\n",
" <td>True</td>\n",
" <td>False</td>\n",
" <td>{'url': 'https://b.thumbs.redditmedia.com/dJqb...</td>\n",
" <td>Do you track your investments in a spreadsheet...</td>\n",
" <td>sharesight</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>2 rows × 100 columns</p>\n",
"</div>"
],
"text/plain": [
" id numComments created score distinguishType isLocked \\\n",
"0 t3_12epaq0 8 2023-04-07 15:39:34 0 None False \n",
"1 t3_zr9v10 0 2022-12-21 04:09:42 2 None True \n",
"\n",
" isStickied thumbnail \\\n",
"0 False {'url': 'https://b.thumbs.redditmedia.com/W8hd... \n",
"1 False {'url': 'https://b.thumbs.redditmedia.com/dJqb... \n",
"\n",
" title author ... \\\n",
"0 Y’all making me feel like spooderman ghostwholags ... \n",
"1 Do you track your investments in a spreadsheet... sharesight ... \n",
"\n",
" postEventInfo predictionTournament reactedFrom removedBy removedByCategory \\\n",
"0 NaN NaN NaN NaN NaN \n",
"1 NaN NaN NaN NaN NaN \n",
"\n",
" subreddit suggestedCommentSort topAwardedType url whitelistStatus \n",
"0 NaN NaN NaN NaN NaN \n",
"1 NaN NaN NaN NaN NaN \n",
"\n",
"[2 rows x 100 columns]"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import pandas as pd\n",
"df[\"created\"] = pd.to_datetime(df[\"created\"], unit = \"ms\")\n",
"df.head(2)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>created</th>\n",
" <th>title</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2023-04-07 15:39:34</td>\n",
" <td>Y’all making me feel like spooderman</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2022-12-21 04:09:42</td>\n",
" <td>Do you track your investments in a spreadsheet...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2022-12-21 04:09:42</td>\n",
" <td>Do you track your investments in a spreadsheet...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2023-04-07 15:29:23</td>\n",
" <td>Can a Blackberry holder get some help 🥺</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2023-04-07 14:49:55</td>\n",
" <td>The week of CPI and FOMC Minutes… 4-6-23 SPY/ ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>2023-04-07 14:19:22</td>\n",
" <td>Well let’s hope your job likes you, thanks Jerome</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>2023-04-07 14:06:32</td>\n",
" <td>Does anyone else feel an overwhelming sense of...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>2023-04-07 13:47:59</td>\n",
" <td>Watermarked Jesus explains the market being cl...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>2023-04-07 13:26:23</td>\n",
" <td>Jobs report shows 236,000 gain in March. Hot l...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>2023-04-07 13:07:15</td>\n",
" <td>The recession is over! Let's buy more stocks!</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" created title\n",
"0 2023-04-07 15:39:34 Y’all making me feel like spooderman\n",
"1 2022-12-21 04:09:42 Do you track your investments in a spreadsheet...\n",
"2 2022-12-21 04:09:42 Do you track your investments in a spreadsheet...\n",
"3 2023-04-07 15:29:23 Can a Blackberry holder get some help 🥺\n",
"4 2023-04-07 14:49:55 The week of CPI and FOMC Minutes… 4-6-23 SPY/ ...\n",
"5 2023-04-07 14:19:22 Well let’s hope your job likes you, thanks Jerome\n",
"6 2023-04-07 14:06:32 Does anyone else feel an overwhelming sense of...\n",
"7 2023-04-07 13:47:59 Watermarked Jesus explains the market being cl...\n",
"8 2023-04-07 13:26:23 Jobs report shows 236,000 gain in March. Hot l...\n",
"9 2023-04-07 13:07:15 The recession is over! Let's buy more stocks!"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"selected_columns = [\"created\", \"title\"]\n",
"df[selected_columns].head(10)"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"### Weibo Date Range"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [],
"source": [
"from finnlp.data_sources.social_media.weibo_date_range import Weibo_Date_Range"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [],
"source": [
"start_date = \"2016-01-01\"\n",
"end_date = \"2016-01-02\"\n",
"stock = \"茅台\"\n",
"config = {\n",
" \"use_proxy\": \"china_free\",\n",
" \"max_retry\": 5,\n",
" \"proxy_pages\": 5,\n",
" \"cookies\": \"Your_Login_Cookies\",\n",
"}\n"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Gathering free ips by pages...: 100%|██████████| 5/5 [00:09<00:00, 1.95s/it]\n",
"Checking ips: 100%|██████████| 75/75 [01:23<00:00, 1.11s/it]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"获取到的代理ip数量: 75 。Get proxy ips: 75.\n",
"能用的代理数量： 13。Usable proxy ips: 13.\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"Downloading by dates...: 100%|██████████| 2/2 [01:03<00:00, 31.56s/it]\n"
]
}
],
"source": [
"downloader = Weibo_Date_Range(config)\n",
"downloader.download_date_range_stock(start_date, end_date, stock = stock)"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>date</th>\n",
" <th>date_content</th>\n",
" <th>source</th>\n",
" <th>content</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2016-01-01</td>\n",
" <td>2016年01月01日23:41</td>\n",
" <td>Moto X</td>\n",
" <td>#舆论之锤#唯品会发声明证实销售假茅台-手机腾讯网O网页链接分享来自浏览器！</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2016-01-01</td>\n",
" <td>2016年01月01日22:57</td>\n",
" <td>新浪博客</td>\n",
" <td>2016元旦节快乐酒粮网官方新品首发，茅台镇老酒，酱香原浆酒：酒粮网茅台镇白酒酱香老酒纯粮原...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>2016-01-01</td>\n",
" <td>2016年01月01日22:56</td>\n",
" <td>新浪博客</td>\n",
" <td>2016元旦节快乐酒粮网官方新品首发，茅台镇老酒，酱香原浆酒：酒粮网茅台镇白酒酱香老酒纯粮原...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>2016-01-01</td>\n",
" <td>2016年01月01日22:40</td>\n",
" <td>五蕴皆崆Android</td>\n",
" <td>开心，今天喝了两斤酒（茅台+扎二）三个人，开心！</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>2016-01-01</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>一家专卖假货的网站某宝，你该学学了！//【唯品会售假茅台：供货商被刑拘顾客获十倍补偿】O唯品...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>2016-01-01</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>一家专卖假货的网站//【唯品会售假茅台：供货商被刑拘顾客获十倍补偿】O唯品会售假茅台：供货商...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>2016-01-01</td>\n",
" <td>2016年01月01日21:46</td>\n",
" <td>360安全浏览器</td>\n",
" <td>前几天说了几点不看好茅台的理由，今年过节喝点茅台支持下，个人口感，茅台比小五好喝，茅台依然是...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>2016-01-01</td>\n",
" <td>2016年01月01日21:44</td>\n",
" <td>华为P8</td>\n",
" <td>老杜酱酒已到货，从明天起正式在甘肃武威开卖。可以不相信我说的话，但一定不要怀疑@杜子建的为人...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>2016-01-01</td>\n",
" <td>2016年01月01日21:24</td>\n",
" <td>华为Ascend P7</td>\n",
" <td>【唯品会售假茅台后续：供货商被刑拘顾客获十倍补偿】此前，有网友投诉其在唯品会购买的茅台酒质量...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>2016-01-01</td>\n",
" <td>2016年01月01日21:16</td>\n",
" <td>实得惠省钱网</td>\n",
" <td>唯品会卖假茅台，供货商被刑拘，买家获十倍补偿8888元|此前，有网友在网络论坛发贴（唯品会宣...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" date date_content source \\\n",
"0 2016-01-01 2016年01月01日23:41 Moto X \n",
"2 2016-01-01 2016年01月01日22:57 新浪博客 \n",
"6 2016-01-01 2016年01月01日22:56 新浪博客 \n",
"17 2016-01-01 2016年01月01日22:40 五蕴皆崆Android \n",
"18 2016-01-01 NaN NaN \n",
"19 2016-01-01 NaN NaN \n",
"20 2016-01-01 2016年01月01日21:46 360安全浏览器 \n",
"21 2016-01-01 2016年01月01日21:44 华为P8 \n",
"22 2016-01-01 2016年01月01日21:24 华为Ascend P7 \n",
"23 2016-01-01 2016年01月01日21:16 实得惠省钱网 \n",
"\n",
" content \n",
"0 #舆论之锤#唯品会发声明证实销售假茅台-手机腾讯网O网页链接分享来自浏览器！ \n",
"2 2016元旦节快乐酒粮网官方新品首发，茅台镇老酒，酱香原浆酒：酒粮网茅台镇白酒酱香老酒纯粮原... \n",
"6 2016元旦节快乐酒粮网官方新品首发，茅台镇老酒，酱香原浆酒：酒粮网茅台镇白酒酱香老酒纯粮原... \n",
"17 开心，今天喝了两斤酒（茅台+扎二）三个人，开心！ \n",
"18 一家专卖假货的网站某宝，你该学学了！//【唯品会售假茅台：供货商被刑拘顾客获十倍补偿】O唯品... \n",
"19 一家专卖假货的网站//【唯品会售假茅台：供货商被刑拘顾客获十倍补偿】O唯品会售假茅台：供货商... \n",
"20 前几天说了几点不看好茅台的理由，今年过节喝点茅台支持下，个人口感，茅台比小五好喝，茅台依然是... \n",
"21 老杜酱酒已到货，从明天起正式在甘肃武威开卖。可以不相信我说的话，但一定不要怀疑@杜子建的为人... \n",
"22 【唯品会售假茅台后续：供货商被刑拘顾客获十倍补偿】此前，有网友投诉其在唯品会购买的茅台酒质量... \n",
"23 唯品会卖假茅台，供货商被刑拘，买家获十倍补偿8888元|此前，有网友在网络论坛发贴（唯品会宣... "
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = downloader.dataframe\n",
"df = df.drop_duplicates()\n",
"df.head(10)"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(60, 4)"
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.shape"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"### Weibo Streaming"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"from finnlp.data_sources.social_media.weibo_streaming import Weibo_Streaming"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"rounds = 3\n",
"stock = \"茅台\"\n",
"config = {\n",
" \"use_proxy\": \"china_free\",\n",
" \"max_retry\": 5,\n",
" \"proxy_pages\": 5,\n",
" \"cookies\": \"Your_Login_Cookies\",\n",
"}\n"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Gathering free ips by pages...: 100%|██████████| 5/5 [00:09<00:00, 1.98s/it]\n",
"Checking ips: 100%|██████████| 75/75 [01:26<00:00, 1.15s/it]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"获取到的代理ip数量: 75 。Get proxy ips: 75.\n",
"能用的代理数量： 19。Usable proxy ips: 19.\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"Processing the text content and downloading the full passage...: 100%|██████████| 9/9 [00:00<00:00, 64.89it/s]\n",
"Processing the text content and downloading the full passage...: 100%|██████████| 10/10 [00:09<00:00, 1.07it/s]\n",
"Processing the text content and downloading the full passage...: 100%|██████████| 10/10 [00:02<00:00, 4.93it/s]\n",
"Downloading by page..: 100%|██████████| 3/3 [00:19<00:00, 6.46s/it]\n"
]
}
],
"source": [
"downloader = Weibo_Streaming(config)\n",
"downloader.download_streaming_stock(stock = stock, rounds = rounds)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>card_type</th>\n",
" <th>display_followbtn</th>\n",
" <th>mblog</th>\n",
" <th>itemid</th>\n",
" <th>actionlog</th>\n",
" <th>cate_id</th>\n",
" <th>display_arrow</th>\n",
" <th>show_type</th>\n",
" <th>scheme</th>\n",
" <th>container_color</th>\n",
" <th>container_color_dark</th>\n",
" <th>content_short</th>\n",
" <th>content</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>9</td>\n",
" <td>False</td>\n",
" <td>{'attitudes_count': 0, 'can_edit': False, 'com...</td>\n",
" <td>seqid:187118896|type:61|t:|pos:1-0-0|q:茅台|srid...</td>\n",
" <td>{'act_code': 554, 'ext': 'seqid:187118896|type...</td>\n",
" <td>31</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>https://m.weibo.cn/status/MAWMprpPp?mblogid=MA...</td>\n",
" <td>#EEEEEE</td>\n",
" <td>#151515</td>\n",
" <td>事情做好做精，还可以赚大钱的生意才是好生意，而不是忙忙碌碌，最后一算账没赚多少！比如苹果的市...</td>\n",
" <td>事情做好做精，还可以赚大钱的生意才是好生意，而不是忙忙碌碌，最后一算账没赚多少！比如苹果的市...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>9</td>\n",
" <td>False</td>\n",
" <td>{'attitudes_count': 0, 'can_edit': False, 'com...</td>\n",
" <td>seqid:187118896|type:61|t:|pos:1-0-1|q:茅台|srid...</td>\n",
" <td>{'act_code': 554, 'ext': 'seqid:187118896|type...</td>\n",
" <td>31</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>https://m.weibo.cn/status/MAWHVDm0H?mblogid=MA...</td>\n",
" <td>#EEEEEE</td>\n",
" <td>#151515</td>\n",
" <td>茅台茅台成都收4瓶飞天，自提</td>\n",
" <td>茅台茅台成都收4瓶飞天，自提</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" card_type display_followbtn \\\n",
"0 9 False \n",
"1 9 False \n",
"\n",
" mblog \\\n",
"0 {'attitudes_count': 0, 'can_edit': False, 'com... \n",
"1 {'attitudes_count': 0, 'can_edit': False, 'com... \n",
"\n",
" itemid \\\n",
"0 seqid:187118896|type:61|t:|pos:1-0-0|q:茅台|srid... \n",
"1 seqid:187118896|type:61|t:|pos:1-0-1|q:茅台|srid... \n",
"\n",
" actionlog cate_id display_arrow \\\n",
"0 {'act_code': 554, 'ext': 'seqid:187118896|type... 31 0 \n",
"1 {'act_code': 554, 'ext': 'seqid:187118896|type... 31 0 \n",
"\n",
" show_type scheme \\\n",
"0 1 https://m.weibo.cn/status/MAWMprpPp?mblogid=MA... \n",
"1 1 https://m.weibo.cn/status/MAWHVDm0H?mblogid=MA... \n",
"\n",
" container_color container_color_dark \\\n",
"0 #EEEEEE #151515 \n",
"1 #EEEEEE #151515 \n",
"\n",
" content_short \\\n",
"0 事情做好做精，还可以赚大钱的生意才是好生意，而不是忙忙碌碌，最后一算账没赚多少！比如苹果的市... \n",
"1 茅台茅台成都收4瓶飞天，自提 \n",
"\n",
" content \n",
"0 事情做好做精，还可以赚大钱的生意才是好生意，而不是忙忙碌碌，最后一算账没赚多少！比如苹果的市... \n",
"1 茅台茅台成都收4瓶飞天，自提 "
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = downloader.dataframe\n",
"df.head(2)"
]
},
{
"cell_type": "code",
"execution_count": 11,
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"0 事情做好做精，还可以赚大钱的生意才是好生意，而不是忙忙碌碌，最后一算账没赚多少！比如苹果的市... \n",
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"2 我可太喜欢茅台这个防伪了 \n",
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"4 买不起茅台，砸锅卖铁也得买得起茅台冰淇淋 许昌·胖东来时代广场 \n",
"5 xxx给我枇杷xxx给我蜂蜜 xxx偷茅台喝（假的）。我很喜欢自己家的产品，感觉很无害纯天然... \n",
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"8 41岁，很美妙！“爸爸生日快乐，吃个蛋糕🍰”小奶音听着上头。爱人，亲戚，朋友，草莓🍓，茅台+... \n",
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"2 我可太喜欢茅台这个防伪了 \n",
"3 没想到 4S店的二楼 是卖茅台的吧 \n",
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"8 41岁，很美妙！“爸爸生日快乐，吃个蛋糕🍰”小奶音听着上头。爱人，亲戚，朋友，草莓🍓，茅台+... \n",
"0 吃到了茅台冰激淋也 "
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