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Join Data365 TikTok with Apify Instagram Profile Scraper
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Data365 TikTok
Collect and extract TikTok posts using hashtags. Data365 offers advanced capabilities for colleting TikTok data, helping you understand and popular themes, monitor emerging trends, and even identify potential threats.
About Apify Instagram Profile Scraper
Get profile details via Apify's Instagram Profiles Scraper. All you need to set up is usernames or URLs you want to extract data from.
For each Instagram profile, you will extract:
Basic profile details: username, full name, biography, and profile URL.
Account status: verification status, whether the account is private or public, and if it's a business account.
Follower and engagement metrics: number of followers and accounts followed.
Profile pictures: standard and HD profile picture URLs.
External links: website URL (if provided).
Content information: number of IGTV videos and highlight reels.
Related profiles: suggested accounts, including their username, full name, profile picture URL, and verification status.
Quickly connect Data365 TikTok and Apify Instagram Profile Scraper with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Data365 TikTok
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 Instagram 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 Data365 TikTok and Apify Instagram 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.