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Join Bright Data G2 Reviews with Apify TikTok Hashtag Scraper

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

About Bright Data G2 Reviews

URL-based collection of G2 Reviews. Returns matching product reviews that contain author, star rating, date, reviews content 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 G2 Reviews and Apify TikTok Hashtag Scraper with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Bright Data G2 Reviews

Enterprise-grade data pipelines begin with flexible data ingestion. Web data—sourced from partners, internal platforms, or the open internet—provides the raw inputs needed for integration and transformation.

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 G2 Reviews 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!