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Join Bright Data Target with Apify TikTok Hashtag Scraper

Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.

About Bright Data Target

Collect and extract product listings on Target's eCommerce site using keywords. Returns matching product listings that include the pricing, title, description, rating, images, specifications, reviews, and more.

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.

How Datastreamer works

Quickly connect Bright Data Target and Apify TikTok Hashtag Scraper with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Bright Data Target

To support enterprise-scale data integration, pipelines must ingest web data from varied origins, including trusted partners, internal databases, and external web-based assets.

Step 2

Add Apify TikTok Hashtag Scraper with Unify or another transformer to combine schemas

Boost your web data capabilities by applying a wide range of operations—enrich, augment, join, structure, filter, store, search, and more. With Datastreamer, you get access to hundreds of plug-and-play tools to power your workflows.

Step 3

That's it! You have just connected  Bright Data Target and Apify TikTok Hashtag Scraper

Datastreamer makes working with web data simpler than ever. Easily enhance your Pipelines with new features and finally eliminate the operational roadblocks that once held you back.

Experience Seamless Data Integration Yourself

Add Datastreamer components to your data stack and explore its full capabilities

Try it Now

Questions?

We’re always happy with any other questions you might have. Send us an email at [email protected]

We look forward to connecting with you.

Let us know if you're an existing customer or a new user, so we can help you get started!