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Join Bright Data Wikipedia with Apify TikTok Hashtag Scraper
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About Bright Data Wikipedia
Extract data about articles, categories, and contributors from en.wikipedia.org.
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.
Quickly connect Bright Data Wikipedia and Apify TikTok Hashtag Scraper with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data Wikipedia
Web data serves as the foundational input for any data pipeline. Pipelines can be powered by diverse data sources, including datasets from our partner ecosystem, proprietary internal systems, or any externally accessible web data.
Step 2
Add Apify TikTok Hashtag Scraper with Unify or another transformer to combine schemas
Ready to move fast with web data? Datastreamer offers a full suite of operations—augment, join, store, filter, and more—so you can transform raw data into real insights instantly.
Step 3
That's it! You have just connected Bright Data Wikipedia and Apify TikTok Hashtag Scraper
No more hassle with web data. Datastreamer allows you to boost your Pipelines on demand and tackle previously difficult operational issues head-on.