Best YouTube scrapers in 2026

A YouTube scraper is a tool that turns public YouTube pages into structured data: search results, channel details, video metadata, comments and transcripts. What a buyer must know first is that these are separate outputs, and no single tool is equally good at all of them.

In our database, six vendors list YouTube coverage: ScrapingBee (a dedicated YouTube API), Decodo Web Scraping API (YouTube is one of its pre-made targets), Scrape.do (a ready Scraper API for YouTube), SerpApi (a YouTube Search API), Apify (a YouTube Scraper actor listed as Apify-made) and Browse AI (no-code robots for channels, search, comments and transcripts). Compare them side by side on our YouTube scrapers ranking.

For a small project, the official YouTube Data API is enough, because it is free up to a daily quota and returns clean, documented fields. You move to a scraper when the quota, or the data it exposes, stops matching your needs.

The quota works in units, and different calls cost different amounts: a search request costs far more units than a plain lookup of a video or channel by ID. That means a project that searches a lot hits the ceiling quickly, while one that looks up known IDs can run for a long time. Apply for more quota if you qualify, or add a scraping tool for the parts the API handles badly. Nothing here replaces reading the API's own current quota rules.

A youtube scraper api is an endpoint where you send a query or URL and get JSON back, and four vendors in our data offer one in some form. The differences show up in price and in the unit you pay for.

The Apify YouTube scraper in our data is an actor listed as Apify-made, which is a different situation from community actors on other pages. Apify bills platform usage plus per-actor pricing and gives a free monthly platform credit, so run a small channel through it and read the bill before you scale.

If you do not code, Browse AI lists no-code robots for channels, search, comments and transcripts, which is the widest list of YouTube outputs in our data from a point-and-click tool. Apify's actors for comments, for example an apify youtube comments scraper, may exist on its marketplace, but our data does not confirm one, so check the actor's page before you plan around it.

A youtube comment scraper is only as useful as its handling of replies, sorting and volume, because popular videos have far more comments than a first page load shows. Test on one video with a few thousand comments and see what you actually receive.

Check whether replies come with their parent comment, whether like counts and timestamps are included, and whether you can choose "top" or "newest" order. Comment text often includes usernames and sometimes personal details, so privacy rules can apply to what you store. Keep only the fields your analysis needs.

A youtube channel scraper returns a channel's profile and video list, while a youtube video scraper returns details for one video such as title, description, view count and publish date. Most tools above cover both, but pagination of a long channel is where they differ.

A typical job: list every video on 50 competitor channels, then pull views and dates for each. Run a handful of channels first, check whether the list is complete against what you see in the browser, and note how many requests that took. A youtube data scraper that skips older uploads will skew any analysis built on it. A youtube email scraper is a separate and riskier idea: contact details are usually only public if the owner chose to show them, and using them for outreach has its own rules.

A youtube transcript scraper returns the caption text of a video, and the thing to check is whether it gives you timestamps and the language you need. Auto-generated captions are not always accurate, and not every video has any.

The official API generally limits caption downloads to videos you manage, which is why people turn to scraping tools or libraries for other videos. If you prefer code, a youtube scraper python project (open-source libraries and downloaders exist) is cheap to start with, but you carry the maintenance when YouTube changes its pages. For a one-off research set it can be enough, and for a recurring pipeline a hosted tool usually saves time. Browse AI lists no-code transcript robots in our data.

The best youtube scraper for you is the one with the lowest cost per usable result on your own sample. Run 100 videos or 20 channels through two or three candidates, count complete results, and divide the bill by that count.

Start with the official API if you can stay under its quota, since it is free. If you cannot, use the free tier of the tool whose output matches your job (search, channel, comments or transcripts) and compare it with the rest on our best scraping APIs and free scraping APIs rankings. Terms of service and privacy laws still apply to what you collect, so ask a lawyer before using YouTube data in a commercial product.