Datastreamer lets you connect Apify YouTube Scraper with thousands of the most popular capabilities, so you can accelerate working with web data and focus on your product – no code required.
Open Measures Bluesky
Google Cloud Storage
Bright Data LinkedIn
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BigQuery
Apify Amazon ScraperVetric Social Sources
Data365 Instagram
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Socialgist Disqus
Socialgist Broadcast NewsNimble scraping
Datastreamer Searchable Storage
Webz Reviews
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Twingly Forums
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Azure Storage Scanner
Webz Data BreachesFirehose
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Zyte Web Scraping
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Reddit Comments
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Working with web data is resource-intensive, slow, and distracting from your product. Companies using Datastreamer are able to accelerate how they work with web data, by using Pipelines to power their workflows.
Pipelines created in the Datastreamer platform simplify how you work with web data, making it faster to ingest, enrich, and deliver insights. Remove complexity from your web data workflows, reduce distractions from your products, and scale effortlessly.
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#/
Add Datastreamer components to your data stack and explore its full capabilities
