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Join Apify TikTok Hashtag Scraper with Bright Data Pinterest
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Apify TikTok Hashtag Scraper
Gather post data with Apify's TikTok Hashtag Scraper. To set up this Actor, you will need to add the TikTok hashtags from which you want to extract videos and the desired number of videos per hashtag.
For each TikTok hashtag, you will extract:
All TikToks posted with chosen hashtags: caption, video URL, number of plays, hearts, comments, shares, country of creation, timestamp, paid status, video and music metadata.
Basic creator info from TikToks posted with chosen hashtags: name, ID, avatar, bio, account status, total followers/following numbers, given/received likes count, etc.
Total number of views for a chosen hashtag.
About Bright Data Pinterest
Collect and search for Pinterest posts using any of the three methods, by keyword, URL or profiles. This data source supports businesses in understanding audience interests, tracking brand mentions, and identifying key influencers and emerging trends, all essential for informed decision-making and effective marketing strategies.
Quickly connect Apify TikTok Hashtag Scraper and Bright Data Pinterest with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Apify TikTok Hashtag Scraper
Web data is a critical input for enterprise data integration pipelines. Organizations can ingest data from multiple sources—including our partner network, internal enterprise systems, and publicly available web data—to create a unified, scalable data infrastructure.
Step 2
Add Bright Data Pinterest with Unify or another transformer to combine schemas
To accelerate using your web data, you can apply any number of operations to the data. Enrich, augment, join, structure, filter, storage, search, or more! Datastreamer has hundreds of plug-and-play operations that you can apply.
Step 3
That's it! You have just connected Apify TikTok Hashtag Scraper and Bright Data Pinterest
With Datastreamer it’s never been easier to use web data. You can dynamically expand your Pipelines with more capabilities, and you’ve now been able to solve your operational bottlenecks in working with web data.