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 Open Measures Telegram with Apify Amazon Scraper

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

About Open Measures Telegram

A specialized Telegram product focused on collecting users and channel content associated with the Russian state, Russian-affiliated propaganda, white nationalist groups, and European far-right organizations.

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 Open Measures Telegram and Apify Amazon Scraper with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Open Measures Telegram

Web data serves as the foundational input for any data pipeline. Pipelines can be powered by diverse data sources, including datasets from our partner ecosystem, proprietary internal systems, or any externally accessible web data.

Step 2

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

Ready to move fast with web data? Datastreamer offers a full suite of operations—augment, join, store, filter, and more—so you can transform raw data into real insights instantly.

Step 3

That's it! You have just connected  Open Measures Telegram and Apify Amazon Scraper

No more hassle with web data. Datastreamer allows you to boost your Pipelines on demand and tackle previously difficult operational issues head-on.

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!