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Join Socialgist News with Apify TikTok Profile Scraper
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Socialgist News
Drawing from over 1,000 Chinese news sources and over 25,000 English news sources, Socialgist provides a comprehensive overview of current events, editorial opinions, and journalistic analysis. This dataset is invaluable for understanding media narratives, tracking news cycles, and analyzing the impact of current events on public discourse and sentiment across various regions and topics.
About Apify TikTok Profile Scraper
Get profile details via Apify's TikTok Profile Scraper. To use this Actor, fill in the profile names you want to gather information about.
For each TikTok profile, you will extract:
Basic profile details: name, nickname, bio, ID, and profile URL.
Account status: whether the account is verified or not, and if it's a business and seller account.
Follower and engagement metrics: number of followers and accounts followed.
Profile avatar: avatar URLs.
Content information: number of videos, fans, hearts, friends, and likes.
Quickly connect Socialgist News and Apify TikTok Profile Scraper with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Socialgist News
Web data is the starting point for any pipeline. You can use any number of data sources to power your Pipelines. You can use web data from our partner network, your own systems, or any web data.
Step 2
Add Apify TikTok Profile Scraper 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 Socialgist News and Apify TikTok Profile Scraper
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.