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import warnings
warnings.filterwarnings("ignore")
import requests
from lxml import etree
from tqdm import tqdm
import pandas as pd
import json
import time
from finnlp.data_sources.news._base import News_Downloader
# TODO:
# 1. Contents
class CNBC_Streaming(News_Downloader):
def __init__(self, args={}):
super().__init__(args)
self.dataframe = pd.DataFrame()
def download_streaming_search(self, keyword = "apple", rounds = 3, delay = 0.5):
url = "https://api.queryly.com/cnbc/json.aspx"
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36',
'Referer':'https://www.cnbc.com/',
}
print("Downloading ...", end = ' ')
for page in range(rounds):
params = {
'queryly_key': '31a35d40a9a64ab3',
'query': keyword,
'endindex': page * 10,
'batchsize': '10',
'callback': '',
'showfaceted': 'false',
'timezoneoffset': '-480',
'facetedfields': 'formats',
'facetedkey': 'formats|',
'facetedvalue': '!Press Release|',
'sort': 'date',
'additionalindexes': '4cd6f71fbf22424d,937d600b0d0d4e23,3bfbe40caee7443e,626fdfcd96444f28',
}
res = requests.get(url = url, headers = headers, params = params)
if res.status_code != 200:
break
res = json.loads(res.text)
tmp = pd.DataFrame(res['results'])
self.dataframe = pd.concat([self.dataframe, tmp])
print(page, end = ' ')
time.sleep(delay)
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