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Join Apify YouTube Scraper with Bright Data Github Code
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
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).
Quickly connect Apify YouTube Scraper and Bright Data Github Code with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Apify YouTube Scraper
To support enterprise-scale data integration, pipelines must ingest web data from varied origins, including trusted partners, internal databases, and external web-based assets.
Step 2
Add Bright Data Github Code with Unify or another transformer to combine schemas
Supercharge your data pipeline! Apply operations like enrichment, structuring, joining, and filtering—Datastreamer gives you instant access to hundreds of plug-and-play data tools.
Step 3
That's it! You have just connected Apify YouTube Scraper and Bright Data Github Code
Say goodbye to bottlenecks. Datastreamer lets you unlock the full power of web data by giving you the tools to dynamically grow your Pipelines.