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

Join Apify TikTok Hashtag Scraper with Bright Data X(Twitter)

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 X(Twitter)

Extract data about posts, profiles, likes, and more from X(Twitter).

How Datastreamer works

Quickly connect Apify TikTok Hashtag Scraper and Bright Data X(Twitter) with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Apify TikTok Hashtag Scraper

Enterprise data pipelines are built on the continuous flow of web data, which can originate from partner networks, internal infrastructures, or any external digital source.

Step 2

Add Bright Data X(Twitter) 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 X(Twitter)

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.

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!