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

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

Join Bright Data Instagram with Apify YouTube 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 YouTube Scraper

Get data via Apify's YouTube Scraper. To do so, simply fill in the URLs of videos, streams, shorts, searches, or channels you want to gather information about.

For YouTube URLs, you can extract: *Basic channel details (*name, number of subscribers, total videos, location, social media links), and Video and search details (author name, number of likes, comments, views, title, URL, subtitles, duration, release date).

View the actor on Apify: https://apify.com/streamers/youtube-scraper

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

How Datastreamer works

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

Step 1

Start your Pipeline with Bright Data Instagram

Enterprise-grade data pipelines begin with flexible data ingestion. Web data—sourced from partners, internal platforms, or the open internet—provides the raw inputs needed for integration and transformation.

Step 2

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

Datastreamer lets you accelerate your data usage by applying operations like structuring, enriching, joining, and filtering—choose from hundreds of prebuilt, plug-and-play options.

Step 3

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

Supercharge your data workflows with Datastreamer. Add flexibility to your Pipelines and put an end to the common bottlenecks in handling web data.

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!