TikTok Post Scraper

Scrapes TikTok posts by hashtag and keyword search. Extracts video metadata, engagement metrics (likes, comments, shares, bookmarks, views), creator info, and top comments.

What it does

This Actor visits TikTok hashtag pages and search results using Playwright, extracting video metadata from each listing. When "Fetch Full Post Details" is enabled, it opens each individual video page to capture rich engagement data — likes, comments, shares, bookmarks, view count, and top comments. Supports both hashtag browsing and keyword search, with configurable delays and proxy support for production-scale scraping.

Use cases

• Viral product discovery — find trending products via #tiktokmademebuyit, #amazonfinds, etc.
• Hashtag monitoring — track engagement metrics and content volume for specific hashtags
• Influencer research — identify top creators and high-performing content in your niche
• Content strategy — analyse what types of TikTok content drive the most engagement
• Trend detection — feed TikTok engagement signals into product discovery pipelines

Input

Field	Type	Required	Default	Description
hashtags	array	No	["#ukshop", "#uktiktok", "#amazonfinds", "#tiktokmademebuyit", "#ukfinds"]	TikTok hashtags (with or without # prefix)
searchKeywords	array	No	[]	Search keywords/queries for TikTok search
maxVideosPerSource	integer	No	20	Max videos per hashtag or keyword (1–200)
fetchPostDetail	boolean	No	true	Open each video page for rich engagement data. Slower but much richer output
minDelay	integer	No	3000	Min delay between requests in ms (1000–30000)
maxDelay	integer	No	12000	Max delay between requests in ms (2000–60000)
proxyConfiguration	object	No	No proxy	Proxy settings for anti-bot protection

Tip: Set fetchPostDetail: true for full engagement metrics. Set it to false for faster runs with basic video metadata only.

Example input

{
  "hashtags": ["#ukshop", "#amazonfinds", "#tiktokmademebuyit"],
  "searchKeywords": ["trending gadgets 2025"],
  "maxVideosPerSource": 20,
  "fetchPostDetail": true
}

Output

Each video is pushed as a separate record to the Apify dataset.

Field	Type	Description
video_id	string	Unique TikTok video ID
creator_username	string	Creator's TikTok handle
caption	string	Video caption/description
likes_count	number	Number of likes
comments_count	number	Number of comments
shares_count	number	Number of shares
bookmarks_count	number	Number of saves/bookmarks
views	number	View count
video_url	string	Direct URL to the TikTok video
cover_url	string	Video thumbnail/cover image URL
source_type	string	"hashtag" or "search"
hashtags	string	Hashtags in the caption
search_query	string | null	Search keyword (if source is search)
extracted_at	string	ISO 8601 date-time of extraction

Example output

{
  "video_id": "7345678901234567890",
  "creator_username": "@gadget_guru_uk",
  "caption": "This kitchen gadget is INSANE 🤯 #tiktokmademebuyit #amazonfinds #ukshop",
  "likes_count": 245000,
  "comments_count": 3200,
  "shares_count": 18400,
  "bookmarks_count": 52000,
  "views": 2100000,
  "video_url": "https://www.tiktok.com/@gadget_guru_uk/video/7345678901234567890",
  "cover_url": "https://p16-sign.tiktokcdn.com/cover/example.jpg",
  "source_type": "hashtag",
  "hashtags": "#tiktokmademebuyit #amazonfinds #ukshop",
  "search_query": null,
  "extracted_at": "2026-03-06T14:30:00.000Z"
}

How to run

On Apify Platform

1. Go to the Actor's page on Apify Console
2. Enter hashtags and/or search keywords, configure detail fetching
3. Click Start and wait for the run to finish
4. Download results from the Dataset tab in JSON, CSV, or Excel format

Locally

$apify run

Deploy to Apify

apify login
apify push

Built with

• Apify SDK — actor framework and dataset management
• Playwright — browser automation for TikTok pages