Experience Seamless Data Integration Yourself

Add Datastreamer components to your data stack and explore its full capabilities

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Questions?

We’re always happy with any other questions you might have. Send us an email at [email protected]

Join Bright Data Instagram with Apify Amazon Scraper

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

About Bright Data Instagram

Description

Collect and extract Instagram reels and posts by using profile URLs or keyword. Further augment your job using start or end dates, and post types.

About Apify Amazon Scraper

Get data via Apify's Amazon Scraper. Fill in the URLs of products, searches, or categories you want to gather information about.

For Amazon URLs, you can extract: product titles, details, brands, ASIN numbers, review counts, image URLs, descriptions, price, and currency.

View Apify details: https://apify.com/junglee/free-amazon-product-scraper

Integrate to your Datastreamer pipelines: https://docs.datastreamer.io/docs/apify#/

How Datastreamer works

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

Step 1

Start your Pipeline with Bright Data Instagram

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

Add Apify Amazon Scraper with Unify or another transformer to combine schemas

Boost your web data capabilities by applying a wide range of operations—enrich, augment, join, structure, filter, store, search, and more. With Datastreamer, you get access to hundreds of plug-and-play tools to power your workflows.

Step 3

That's it! You have just connected  Bright Data Instagram and Apify Amazon Scraper

Datastreamer makes working with web data simpler than ever. Easily enhance your Pipelines with new features and finally eliminate the operational roadblocks that once held you back.

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!