app.py

import streamlit as st
import requests
import json
import os
import zipfile
import io

# Load API Key from Hugging Face Secrets
API_KEY = os.getenv("INSTA_API")

# API Details
API_URL = "https://instagram-scraper-api2.p.rapidapi.com/v1/info"
HEADERS = {
    "x-rapidapi-key": API_KEY,
    "x-rapidapi-host": "instagram-scraper-api2.p.rapidapi.com"
}

# Function to extract all links recursively
def extract_links(obj):
    links = []
    if isinstance(obj, dict):
        for key, value in obj.items():
            if isinstance(value, str) and value.startswith("http"):
                links.append(value)
            elif isinstance(value, (dict, list)):
                links.extend(extract_links(value))
    elif isinstance(obj, list):
        for item in obj:
            links.extend(extract_links(item))
    return links

# Streamlit UI
st.set_page_config(page_title="Instagram Scraper", layout="wide")
st.title("📸 Instagram Scraper API")

# User Input
username = st.text_input("Enter Instagram Username:", "mrbeast")

if st.button("Fetch Details"):
    with st.spinner("Fetching data..."):
        response = requests.get(API_URL, headers=HEADERS, params={"username_or_id_or_url": username})
        
        if response.status_code == 200:
            data = response.json()
            st.success("✅ Data Retrieved Successfully!")

            # **Display JSON Response by Default**
            st.subheader("📜 JSON Response")
            st.json(data)

            # Extract all links
            links = extract_links(data)

            # Separate image links and other links
            image_links = [link for link in links if any(ext in link for ext in [".jpg", ".jpeg", ".png", ".webp"])]
            other_links = [link for link in links if link not in image_links]

            # Display Images
            if image_links:
                st.subheader("🖼️ Extracted Images:")
                img_bytes_list = []
                img_filenames = []
                
                for idx, img_url in enumerate(image_links):
                    st.markdown(f"🖼️ [Image {idx + 1}]({img_url})")

                    # Download images as bytes
                    img_bytes = requests.get(img_url).content
                    img_bytes_list.append(img_bytes)
                    img_filenames.append(f"{username}_image_{idx+1}.jpg")

                # **Download All Images as ZIP**
                if img_bytes_list:
                    with io.BytesIO() as zip_buffer:
                        with zipfile.ZipFile(zip_buffer, "w") as zip_file:
                            for filename, img_data in zip(img_filenames, img_bytes_list):
                                zip_file.writestr(filename, img_data)
                        zip_buffer.seek(0)
                        st.download_button("📥 Download All Images", data=zip_buffer, file_name=f"{username}_images.zip", mime="application/zip")

            # Display Other Links
            if other_links:
                st.subheader("🔗 Other Links:")
                for link in other_links:
                    st.markdown(f"[🔗 {link}]({link})")

            # **Download Buttons Below Links**
            st.subheader("⬇️ Download Data")
            
            # Convert JSON to formatted text
            json_data = json.dumps(data, indent=4)
            text_data = "\n".join(f"{key}: {value}" for key, value in data.items())

            # Download JSON File
            st.download_button(label="Download JSON", data=json_data, file_name=f"{username}_data.json", mime="application/json")

            # Download Text File
            st.download_button(label="Download Text", data=text_data, file_name=f"{username}_details.txt", mime="text/plain")

        else:
            st.error("❌ Failed to retrieve data. Please check the username.")

# Footer
st.markdown("---")
st.caption("Powered by RapidAPI & Streamlit")