📸 Apex Instagram Profile Scraper
Under maintenancePricing
Pay per usage
Extract Instagram profile data: followers, posts, engagement metrics, bio, verification status & more. Supports bulk scraping of multiple profiles.
Pricing
Pay per usage
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ⵎⵓⵙⴰ ⴰⵣⴰⵓⵉ
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8 days ago
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1from apify import Actor, ApifyClient2import asyncio3import httpx4import json5import re6from urllib.parse import quote7
8async def main():9 async with Actor() as actor:10 input_data = await actor.get_input() or {}11 usernames = input_data.get("usernames", [])12 max_posts = input_data.get("max_posts", 10)13 14 if not usernames:15 Actor.log.info("No usernames provided. Exiting.")16 return17 18 results = []19 headers = {20 "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",21 "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",22 "Accept-Language": "en-US,en;q=0.5",23 }24 25 async with httpx.AsyncClient(timeout=30, follow_redirects=True) as client:26 for username in usernames:27 Actor.log.info(f"Scraping profile: {username}")28 try:29 # Fetch Instagram profile page30 resp = await client.get(31 f"https://www.instagram.com/{username}/",32 headers=headers33 )34 35 # Extract data from the embedded JSON in the page36 data = {}37 38 # Try to find shared data39 scripts = re.findall(r'<script type="text/javascript">window\._sharedData\s*=\s*({.+?});</script>', resp.text)40 if scripts:41 json_data = json.loads(scripts[0])42 user_data = json_data.get("entry_data", {}).get("ProfilePage", [{}])[0].get("graphql", {}).get("user", {})43 data = {44 "username": username,45 "full_name": user_data.get("full_name", ""),46 "biography": user_data.get("biography", ""),47 "followers": user_data.get("edge_followed_by", {}).get("count", 0),48 "following": user_data.get("edge_follow", {}).get("count", 0),49 "posts_count": user_data.get("edge_owner_to_timeline_media", {}).get("count", 0),50 "is_private": user_data.get("is_private", False),51 "is_verified": user_data.get("is_verified", False),52 "profile_pic_url": user_data.get("profile_pic_url_hd", ""),53 "external_url": user_data.get("external_url", ""),54 "business_category": user_data.get("business_category_name", ""),55 "engagement_rate": 0,56 }57 58 # Also try newer GraphQL approach59 if not data:60 # Extract from embedded JSONL61 scripts_jsonl = re.findall(r'<script type="application/ld\+json">(.+?)</script>', resp.text)62 for s in scripts_jsonl:63 try:64 j = json.loads(s)65 if j.get("@type") == "ProfilePage":66 data = {67 "username": username,68 "full_name": j.get("name", ""),69 "description": j.get("description", ""),70 "interactionStatistic": j.get("interactionStatistic", []),71 }72 except:73 pass74 75 if data:76 results.append(data)77 await actor.push_data(data)78 Actor.log.info(f" Scraped: {data.get('full_name', username)} - {data.get('followers', 'N/A')} followers")79 else:80 # Fallback: extract basic info from HTML81 basic = {82 "username": username,83 "page_loaded": len(resp.text) > 5000,84 "status": "partial - may require login or rate limited",85 }86 results.append(basic)87 await actor.push_data(basic)88 89 except Exception as e:90 Actor.log.error(f"Error scraping {username}: {e}")91 await actor.push_data({92 "username": username,93 "error": str(e),94 "status": "failed"95 })96 97 await asyncio.sleep(2)98 99 Actor.log.info(f"Done! Scraped {len(results)} profiles.")100
101
102if __name__ == "__main__":103 asyncio.run(main())FROM apify/actor-python:3.12RUN pip install httpxCMD python3 /app/main.py{ "type": "object", "schemaVersion": 1, "properties": { "usernames": { "title": "Instagram Usernames", "type": "array", "description": "List of Instagram usernames to scrape", "default": [], "editor": "stringList", "minItems": 1 }, "max_posts": { "title": "Max Posts to Analyze", "type": "integer", "description": "Maximum number of posts to analyze for engagement rate", "default": 10, "minimum": 1, "maximum": 100 } }, "required": [ "usernames" ]}{ "name": "apex-instagram-scraper", "version": "1.0", "buildTag": "latest"}1apify>=2.0.02httpx>=0.25.0