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Integrate Apify Instagram Profile Scraper into Snowflake Data Warehouse

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 Snowflake Data Warehouse

Data warehouse provided by Snowflake.

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How Datastreamer works

Quickly connect Apify Instagram Profile Scraper and Snowflake Data Warehouse with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Apify Instagram Profile Scraper

Web data plays a central role in enterprise data integration, serving as a primary input across pipelines. It can be sourced from partner networks, internal systems, or the open web to support scalable data workflows.

Step 2

Transform, and then add Snowflake Data Warehouse

Transform your web data at scale with Datastreamer. Whether you're enriching, storing, joining, or filtering, you'll find hundreds of ready-made operations to help you move fast.

Step 3

That's it! You have just connected  Apify Instagram Profile Scraper and Snowflake Data Warehouse

Datastreamer transforms how you use web data. Grow your Pipelines without disruption and finally streamline the operational side of your workflow.

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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]

Hundreds of ready-to-use-integrations in one place.

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