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Build a TikTok Social Listening Dataset

Build a TikTok social listening dataset for the tiktok, nike, netflix, and duolingo profiles. Strict matching saves only public posts that tag each profile's own account, up to 25 per profile and 100 in total. Each row shows how the post tags the profile, plus the caption, views and other counts, author details, and the post link. You pay only for saved posts.

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TikTok Profile Mention Scraper
TikTok Profile Mention Scrapermaximedupre/tiktok-profile-mention-scraper
Target handle
Target account ID
Match type
Post URL
+19 fields
Text
Number
Boolean
List
Object

Input

TikTok profiles(required):tiktok+3
Match scope:strict
Videos per profile:25
Total video limit:100

Output fields

Target handle
Target account ID
Match type
Post URL
Post type
Caption
Caption language
Published at
Views
Likes
Comments
Shares
Saves
Author
Music
Video media
Mentioned handles
Hashtags
Advertisement
Tagged place
Country
Search position
TikTok search page

How it works

Sign up on Apify or log in

The TikTok Profile Mention Scraper Actor is ready to run with the inputs already set for "Build a TikTok Social Listening Dataset". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build a TikTok Social Listening Dataset" task

The TikTok Profile Mention Scraper Actor will start running based on the input automatically. You can also change all the input fields, like tiktok profiles, match scope, and more, to match your specific use case.

Receive the "Build a TikTok Social Listening Dataset" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as target handle, target account id, match type, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Build a TikTok Social Listening Dataset" task via API.

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Connect "Build a TikTok Social Listening Dataset" with 100+ integrations, or run it via API or MCP.

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Flowise

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OpenAI

OpenAI

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Clay

Clay

Frequently asked questions

The Build a TikTok Social Listening Dataset task finds public TikTok videos and photo posts by other accounts that tag the profiles tiktok, nike, netflix, duolingo. Each row shows how the post mentions the profile.

The Build a TikTok Social Listening Dataset task returns one row per post with the match type, caption, views, likes, comments, shares, saves, author details, sound, hashtags, and the post link.

The Build a TikTok Social Listening Dataset task checks tiktok, nike, netflix, duolingo. You can change the TikTok profiles field to any handles, @handles, or profile URLs you want.

The Build a TikTok Social Listening Dataset task saves up to 25 posts per profile and 100 posts in total. Set the limits to 0 or leave them empty to collect all available results.

The Build a TikTok Social Listening Dataset task uses strict matching, so it saves only posts that tag each profile's own TikTok account. Switch to broad to also save posts whose caption types the @handle without a tag.

The Build a TikTok Social Listening Dataset task uses pay-per-event pricing. You pay for each matching post saved to the dataset. Posts that do not match and runs that save no posts cost nothing.

The Build a TikTok Social Listening Dataset task leaves out posts published by the requested profile itself, so you only see social listening data from other accounts.

The Build a TikTok Social Listening Dataset task saves results you can download as JSON, CSV, Excel, XML, RSS, or HTML. You can also schedule it or call it through the Apify API.

The Build a TikTok Social Listening Dataset task uses public TikTok data. It needs no TikTok login, cookies, or TikTok API key.

The Build a TikTok Social Listening Dataset task returns what public TikTok search shows during the run. Results can differ by time and region, so it is not a full history of every mention.