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Join Apify YouTube Scraper with Vital4 Criminal Record Data
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).
Vital4 delivers unrivalled coverage, accuracy, compliance, and competitive pricing of criminal data collected daily from thousands of sources at the federal, state, county, and local levels. Sources include Criminal Prosecutions, Arrest Records, Warrant Lists, Criminal Newsletters & Press Releases, Most Wanted, Sex Offenders, Corrections/Inmate Data, Child Support Violations, Open Court Cases, Early Release & Parole Lists, Career Offenders, and more. Data is updated in real-time to provide an accurate report of all court records in a certain region or jurisdiction, not just convictions.
Quickly connect Apify YouTube Scraper and Vital4 Criminal Record Data with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Apify YouTube Scraper
Web data plays a central role in enterprise data integration, serving as a primary input across pipelines. It can be sourced from partner networks, internal systems, or the open web to support scalable data workflows.
Step 2
Add Vital4 Criminal Record Data 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 Apify YouTube Scraper and Vital4 Criminal Record Data
Supercharge your data workflows with Datastreamer. Add flexibility to your Pipelines and put an end to the common bottlenecks in handling web data.