YouTube Transcript API: Channels, Videos, Comments

A YouTube transcript API returns the text of a video as structured data so you can search it, summarize it or feed it into a pipeline. The official YouTube Data API is poorly suited to this, because downloading captions requires permission to edit the video, which means you can only fetch transcripts for videos you own. BuyProxy's Scraper API offers 13 YouTube endpoints, including transcripts, channels, videos and comments, at about $2.23 per 1,000 calls each. This guide explains what each endpoint does, how it compares with the official API, and how to run a transcript pipeline for a few dollars.

Why the Official API Does Not Cover This

Google's YouTube Data API is the right tool for managing your own channel, but it has two limits for transcript work. First, the captions.download method requires authorization with a scope such as youtube.force-ssl, and per Google's documentation the user must have permission to edit the video. Second, a call to that method costs 200 quota units, against a default allowance of 10,000 units a day for most endpoints. Together that means you cannot pull captions for arbitrary public videos, and even for your own you would exhaust the default quota after about 50 downloads.

A scraper API sidesteps both: you give it a public video and it returns the data, without OAuth or a quota to apply for. That convenience comes with the usual trade-off that the scraper reads a third-party site, so it can occasionally fail or change shape and your code should handle that.

The 13 YouTube Endpoints

All 13 cost about $0.002235 per successful call as of October 2026. You call each as /v1/scrape/youtube/{action}.

Each scraper's exact inputs are listed in the dashboard catalog. For example, channel-lookup takes one of channelId, handle or url, plus an optional cache_max_age. You can run any of them once from the dashboard to see the JSON before writing code.

A Transcript Pipeline, Step by Step

A typical job is "get the transcripts for every video on a channel." It takes three kinds of call.

1. Resolve the channel. Call channel-lookup with a handle to get the channel.
2. List its videos. Call channel-videos, paging through results until you have the full list.
3. Fetch each transcript. Call transcript once per video and store the result with the video ID.

Here is the shape of it in Python. Check the dashboard for each scraper's exact input and output fields, because the loop below is a template rather than a drop-in script:

import time, requests

API_KEY = "YOUR_API_KEY"
BASE = "https://www.buyproxy.org/v1/scrape/youtube"

def call(action, **params):
    for attempt in range(4):
        r = requests.get(f"{BASE}/{action}", params=params,
                         headers={"X-API-Key": API_KEY}, timeout=60)
        if r.status_code in (429, 502, 503, 504):
            time.sleep(2 ** attempt)      # failed calls are not charged
            continue
        r.raise_for_status()
        return r.json()["data"]
    raise RuntimeError(f"{action} unavailable")

channel = call("channel-lookup", handle="MrBeast")
# page through call("channel-videos", ...) to collect video URLs or IDs,
# then call("transcript", ...) for each one and save the results

Full error handling and retry guidance is in how to scrape social media data with an API, and the same patterns apply to YouTube.

What It Costs

At $0.002235 per call, the cost of a pipeline is easy to estimate. These examples count one transcript call per video and ignore pagination, so add a few calls per channel for listing videos.

The $5 minimum balance covers about 2,200 calls, and the balance never expires. Failed calls are refunded, so a flaky run does not drain it. Save each result to your own storage and look it up before calling again, so you never pay twice for the same video.

What People Use YouTube Data For

• Search and knowledge bases. Index transcripts so you can search what was said across a channel or topic.
• Summaries and research. Feed transcripts to a summarization step for competitor, creator or trend research. See market research for how teams run this at scale.
• Content analysis. Combine comments and video details to study audience reaction.
• AI datasets. Transcripts are a common text source for training and evaluation data. Read residential proxies for AI data collection and check licensing before you use content to train models.

Things to Get Right

• Not every video has a transcript. Some videos have no captions available. Handle empty or error results instead of assuming every video returns text.
• Respect the content. A transcript is someone else's work. Using it for private analysis differs from republishing it. Check copyright and the platform's terms for your use, and see whether this kind of collection is legal. This is general information, not legal advice.
• Be ready for change. YouTube changes its pages. A scraper can briefly return different fields until it is updated. Read results defensively.
• Know when to use proxies instead. If you need data the endpoints do not cover, build your own scraper behind proxies. The break-even math is in scraper API vs proxies.

Frequently Asked Questions

Q: Can I get a YouTube transcript with the official YouTube API?
Only for videos you can edit. The captions.download method requires authorization and permission to edit the video, and each call costs 200 quota units against a default daily allowance of 10,000 units.

Q: How much does it cost to get YouTube transcripts with BuyProxy?
Each transcript call costs about $0.002235, so 1,000 transcripts cost about $2.24. Failed calls are not charged.

Q: What other YouTube data can I get?
Channels and channel lookups, a channel's videos and Shorts, single video details, comments and replies, search results, hashtag results, trending Shorts, playlists and community posts, 13 endpoints in all.

Q: Do I need a YouTube account or API quota?
No. You call the BuyProxy API with your own API key and a prepaid balance. There is no YouTube quota to request.

Q: What if a video has no transcript?
Some videos do not have captions available. Your code should treat a missing or failed transcript as a normal result and skip or flag the video.

Summary

The official YouTube API only lets you download captions for videos you can edit, at 200 quota units a call. BuyProxy's Scraper API covers 13 YouTube endpoints for public data, including transcripts, at about $2.23 per 1,000 calls, so a thousand transcripts costs a couple of dollars. Cache results, handle videos without captions, and expect the occasional retry.

Try the YouTube endpoints in the Scraper API →

Sources: YouTube Data API: captions.download and YouTube Data API quota costs.