Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Extract data about articles, categories, and contributors from en.wikipedia.org.
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 Wikipedia and Apify YouTube Scraper with a Datstreamer Pipeline.
To support enterprise-scale data integration, pipelines must ingest web data from varied origins, including trusted partners, internal databases, and external web-based assets.
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.
Supercharge your data workflows with Datastreamer. Add flexibility to your Pipelines and put an end to the common bottlenecks in handling web data.
Add Datastreamer components to your data stack and explore its full capabilities
