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Join Apify TikTok Hashtag Scraper with Apify's Facebook Post Scraper
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 Apify's Facebook Post Scraper
Use the Apify Facebook Post Scraper to get post data by adding one or multiple page URLs and the amount of posts you want to scrape.
You’ll get: Links, unique ID, timestamps, content types, captions, hashtags, mentions, likes, comments, shares, media info, post owner info, tags, and locations.
Quickly connect Apify TikTok Hashtag Scraper and Apify's Facebook Post Scraper 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 Apify's Facebook Post Scraper with Unify or another transformer to combine schemas
Datastreamer lets you accelerate your data usage by applying operations like structuring, enriching, joining, and filtering—choose from hundreds of prebuilt, plug-and-play options.
Step 3
That's it! You have just connected Apify TikTok Hashtag Scraper and Apify's Facebook Post Scraper
Supercharge your data workflows with Datastreamer. Add flexibility to your Pipelines and put an end to the common bottlenecks in handling web data.