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Join Bright Data Amazon Reviews with Apify Instagram Profile Scraper

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

About Bright Data Amazon Reviews

Collect and extract Amazon reviews content using keywords or domains.

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

How Datastreamer works

Quickly connect Bright Data Amazon Reviews and Apify Instagram Profile Scraper with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Bright Data Amazon Reviews

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 Apify Instagram Profile Scraper with Unify or another transformer to combine schemas

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  Bright Data Amazon Reviews and Apify Instagram Profile Scraper

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

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!