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Join Apify Instagram Profile Scraper with Webz Web Archives

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

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.

More details: https://apify.com/apify/instagram-profile-scraper

About Webz Web Archives

Historical combined datasets from across the web.

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How Datastreamer works

Quickly connect Apify Instagram Profile Scraper and Webz Web Archives with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Apify Instagram Profile Scraper

Enterprise pipelines rely on web data as a key input layer. Whether sourced from strategic partners, internal platforms, or public web endpoints, this data enables seamless integration across business systems.

Step 2

Add Webz Web Archives with Unify or another transformer to combine schemas

Take your web data further. From enrichment to filtering and everything in between, Datastreamer’s vast library of operations helps you act on your data fast—with no coding required.

Step 3

That's it! You have just connected  Apify Instagram Profile Scraper and Webz Web Archives

Datastreamer takes the pain out of web data workflows. Seamlessly scale your Pipelines and resolve persistent operational challenges with ease.

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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]

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