---
title: "How to scrape YouTube comments"
description: "The YouTube Data API works but hands you raw JSON and quota math. Compare the API, manual, and no-code routes, and pull a video's comments in about 60 seconds."
canonical: https://tryadlicio.com/scrapers/guides/how-to-scrape-youtube-comments
---

# How to scrape YouTube comments

By Daniel, founder of Adlicio

The YouTube Data API works but hands you raw JSON and quota math. Compare the API, manual, and no-code routes, and pull a video's comments in about 60 seconds.

YouTube is actually the friendliest big platform for this: the official Data API can return comment threads for any public video. The catch is what it costs you in setup and what it hands you at the end, which is **raw JSON, not answers**.

Here are the three routes: the API for developers, manual collection for tiny jobs, and **the paste-a-URL route** when the goal is customer language you can use in ads.

## The YouTube Data API route

If you write code, the commentThreads endpoint works: register a Google Cloud project, get an API key, and page through a video's comments. The free quota is **10,000 units a day** and comment requests are cheap, so quota rarely blocks research-scale pulls.

The real cost is everything after the fetch. You get JSON with author names, timestamps, and like counts, and then the actual work begins: cleaning it, deduplicating, and reading hundreds of comments to find the patterns. The API is a **data source, not a research method**.

## Manual collection

For a video with 50 comments, scroll and copy. Past a few hundred, the infinite scroll and collapsed replies make it miserable, and sorting by 'top comments' means you only ever see what YouTube already decided to show everyone. The dissenting comment with **12 likes on page 30** never makes it into your research.

## The paste-a-URL route

Adlicio takes a public video URL and captures the comment thread in **about 60 seconds**, no Google Cloud project, no quota math, no JSON. The comments come back clustered into ranked angles: what viewers loved, what they doubted, and the phrases they repeat, each cluster backed by verbatim quotes.

For ad research this order matters. Product review videos and competitor content carry buyer intent in the comments, and the clustering surfaces the **objection patterns** you would have missed skimming the top 20.

## How to do it with Adlicio

1. **Pick videos with buyer intent** - Reviews of your product or a competitor's, comparison videos, and 'best X for Y' roundups in your category. Comment sections there are pre-purchase conversations.
2. **Paste the video URL into Adlicio** - Public videos only, about 60 seconds per scrape, replies included.
3. **Work the objections first** - YouTube commenters are skeptics. The recurring doubts under a review video are the exact objections your landing page and ads need to answer.

## FAQ

### Can I scrape YouTube comments without the API?

Yes. Adlicio reads the public comment thread through your own browser session, so you skip the Google Cloud setup entirely and still get the full thread.

### Is scraping YouTube comments allowed?

Reading public comments is what every viewer does; Adlicio just captures them systematically. It never posts, likes, or subscribes on your behalf.

### How is this better than the API for ad research?

The API gives you raw JSON to analyze yourself. Adlicio returns the analysis: ranked angles with the verbatim quotes behind them, which is the part of the job the API leaves to you.

### Can I export the comments?

Yes, every scrape in your history exports to CSV with the comment text intact, so you can run your own analysis on top.

## Links

- This guide: https://tryadlicio.com/scrapers/guides/how-to-scrape-youtube-comments
- Scraper: https://tryadlicio.com/scrapers/youtube-comment-scraper
- Pricing: https://tryadlicio.com/pricing
- Start free: https://tryadlicio.com/signup