🎵 Apex TikTok Scraper
Under maintenancePricing
Pay per usage
Extract TikTok profile data, video stats, and hashtag analytics. Get followers, engagement, views, likes, comments & more. Supports profiles, videos, and hashtags.
Pricing
Pay per usage
Rating
0.0
(0)
Developer
ⵎⵓⵙⴰ ⴰⵣⴰⵓⵉ
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
3 days ago
Last modified
Categories
Share
1from apify import Actor, ApifyClient2import asyncio3import httpx4import json5import re6
7async def main():8 async with Actor() as actor:9 input_data = await actor.get_input() or {}10 urls = input_data.get("urls", [])11 hashtags = input_data.get("hashtags", [])12 mode = input_data.get("mode", "profiles")13 14 results = []15 headers = {16 "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",17 "Accept": "application/json, text/plain, */*",18 "Referer": "https://www.tiktok.com/",19 }20 21 async with httpx.AsyncClient(timeout=30, follow_redirects=True) as client:22 if mode == "profiles" and urls:23 for url in urls:24 username = url.rstrip("/").split("/")[-1]25 Actor.log.info(f"Scraping TikTok profile: {username}")26 try:27 resp = await client.get(28 f"https://www.tiktok.com/@{username}",29 headers=headers30 )31 32 data = {"username": username, "url": url}33 34 # Extract from __NEXT_DATA__ or JSON embedded in page35 next_data_match = re.search(36 r'<script id="__NEXT_DATA__"[^>]*>(.*?)</script>',37 resp.text38 )39 if next_data_match:40 try:41 nd = json.loads(next_data_match.group(1))42 user = (nd.get("props", {})43 .get("pageProps", {})44 .get("userInfo", {})45 .get("user", {}))46 stats = user.get("stats", [])47 48 data.update({49 "full_name": user.get("nickname", ""),50 "bio": user.get("signature", ""),51 "followers": user.get("followerCount", 0),52 "following": user.get("followingCount", 0),53 "likes": user.get("heartCount", 0),54 "video_count": user.get("videoCount", 0),55 "is_verified": user.get("verified", False),56 "unique_id": user.get("uniqueId", ""),57 "avatar_url": user.get("avatarMedium", ""),58 "sec_uid": user.get("secUid", ""),59 })60 except Exception as e:61 Actor.log.warning(f"Parse error: {e}")62 63 results.append(data)64 await actor.push_data(data)65 Actor.log.info(f" Scraped: {data.get('full_name', username)} - {data.get('followers', 'N/A')} followers")66 67 except Exception as e:68 Actor.log.error(f"Error scraping {username}: {e}")69 await actor.push_data({"username": username, "error": str(e), "status": "failed"})70 71 await asyncio.sleep(2)72 73 elif mode == "hashtags" and hashtags:74 for tag in hashtags:75 Actor.log.info(f"Scraping hashtag: #{tag}")76 try:77 resp = await client.get(78 f"https://www.tiktok.com/tag/{tag}",79 headers=headers80 )81 82 data = {"hashtag": tag, "url": f"https://www.tiktok.com/tag/{tag}"}83 84 next_data_match = re.search(85 r'<script id="__NEXT_DATA__"[^>]*>(.*?)</script>',86 resp.text87 )88 if next_data_match:89 try:90 nd = json.loads(next_data_match.group(1))91 challenge = (nd.get("props", {})92 .get("pageProps", {})93 .get("challengeInfo", {}))94 data.update({95 "views": challenge.get("viewCount", 0),96 "posts": challenge.get("postCount", 0),97 "description": challenge.get("desc", ""),98 "challenge_name": challenge.get("challengeName", ""),99 })100 except:101 pass102 103 results.append(data)104 await actor.push_data(data)105 Actor.log.info(f" #{tag}: {data.get('views', 'N/A')} views")106 107 except Exception as e:108 Actor.log.error(f"Error scraping #{tag}: {e}")109 await actor.push_data({"hashtag": tag, "error": str(e)})110 111 await asyncio.sleep(2)112 113 elif mode == "videos" and urls:114 for url in urls:115 Actor.log.info(f"Scraping video: {url}")116 try:117 resp = await client.get(url, headers=headers)118 data = {"url": url}119 120 # Extract video data121 next_data_match = re.search(122 r'<script id="__NEXT_DATA__"[^>]*>(.*?)</script>',123 resp.text124 )125 if next_data_match:126 try:127 nd = json.loads(next_data_match.group(1))128 item_info = (nd.get("props", {})129 .get("pageProps", {})130 .get("itemInfo", {})131 .get("itemStruct", {}))132 stats = item_info.get("stats", {})133 author = item_info.get("author", {})134 video = item_info.get("video", {})135 136 data.update({137 "id": item_info.get("id", ""),138 "description": item_info.get("desc", ""),139 "author": author.get("nickname", ""),140 "author_username": author.get("uniqueId", ""),141 "plays": stats.get("playCount", 0),142 "likes": stats.get("diggCount", 0),143 "comments": stats.get("commentCount", 0),144 "shares": stats.get("shareCount", 0),145 "duration": video.get("duration", 0),146 "cover_url": video.get("cover", ""),147 "created_at": item_info.get("createTime", ""),148 })149 except Exception as e:150 Actor.log.warning(f"Parse error: {e}")151 152 results.append(data)153 await actor.push_data(data)154 155 except Exception as e:156 Actor.log.error(f"Error scraping video: {e}")157 await actor.push_data({"url": url, "error": str(e)})158 159 await asyncio.sleep(2)160 161 Actor.log.info(f"Done! Processed {len(results)} items.")162
163
164if __name__ == "__main__":165 asyncio.run(main())FROM apify/actor-python:3.12RUN pip install httpxCMD python3 /app/main.py{ "type": "object", "schemaVersion": 1, "properties": { "urls": { "title": "TikTok URLs", "type": "array", "description": "TikTok profile or video URLs to scrape", "default": [], "editor": "stringList" }, "hashtags": { "title": "Hashtags", "type": "array", "description": "Hashtags to scrape (without # symbol)", "default": [], "editor": "stringList" }, "mode": { "title": "Scrape Mode", "type": "string", "description": "What to scrape", "default": "profiles", "enum": [ "profiles", "videos", "hashtags" ], "enumTitles": [ "Profiles", "Videos", "Hashtags" ] } }}{ "name": "apex-tiktok-scraper", "version": "1.0", "buildTag": "latest"}1apify>=2.0.02httpx>=0.25.0