Fix youtube-transcript-api RequestBlocked and IpBlocked Errors

What the error looks like

In youtube-transcript-api 1.x, a blocked request raises RequestBlocked, or its subclass IpBlocked when YouTube has flagged the address. The message says "Could not retrieve a transcript for the video" and lists "YouTube is blocking requests from your IP" as the cause, often mentioning cloud providers. Older versions surfaced the same problem as TooManyRequests or a generic CouldNotRetrieveTranscript.

from youtube_transcript_api import YouTubeTranscriptApi

YouTubeTranscriptApi().fetch("5f3Pn-N6yLc")
# youtube_transcript_api._errors.RequestBlocked:
# Could not retrieve a transcript for the video ...
# YouTube is blocking requests from your IP.

Why it happens

YouTube treats bulk caption requests from datacenter IP ranges as scraping. Every major cloud's ranges are well known, so a fresh server, container, or serverless function is often blocked on its first request. Residential and mobile IPs are trusted much more, which is why the same code works from home.

Heavy use from a home IP can also get it blocked for a while, which is when IpBlocked appears on a laptop.

Fix 1: route the library through residential proxies

The library accepts a proxy configuration. Rotating residential proxies give each request a different trusted IP. It works, but you pay per GB, manage credentials, and still retry when an exit is slow or flagged.

from youtube_transcript_api import YouTubeTranscriptApi
from youtube_transcript_api.proxies import GenericProxyConfig

api = YouTubeTranscriptApi(
    proxy_config=GenericProxyConfig(
        http_url="http://USER:PASS@proxy.example.com:8000",
        https_url="http://USER:PASS@proxy.example.com:8000",
    )
)
transcript = api.fetch("5f3Pn-N6yLc")

Fix 2: run it somewhere else

For a one-off job, run the script from a residential connection, such as your own machine, and upload the results. It doesn't scale, and a busy home IP gets blocked too.

Fix 3: call a hosted transcript API

A hosted API moves the YouTube side off your server entirely. Your code makes one HTTPS request; the provider handles proxies, retries, and YouTube's changes. With the TranscriptYT API, failed requests aren't billed, videos without captions are transcribed with AI, and the response has the same segments with start times and durations.

The change is a few lines. There is also a Python client (pip install transcriptyt) and a LangChain loader; the Python guide covers formats, translation, and retries.

import os
import requests

res = requests.get(
    "https://transcript-yt.com/v1/transcript",
    params={"url": "5f3Pn-N6yLc"},
    headers={"Authorization": f"Bearer {os.environ['TRANSCRIPTYT_KEY']}"},
    timeout=120,
)
res.raise_for_status()
for seg in res.json()["segments"]:
    print(seg["start"], seg["text"])

Which fix to choose

• A notebook or personal script: run it locally and keep the library.
• You already pay for a residential proxy pool: point the library at it.
• A product on cloud servers or serverless: use a hosted API, so blocks, retries, and upkeep aren't your problem. See the library comparison and best YouTube transcript APIs.

Other errors and platforms

Other youtube-transcript-api errors: no attribute get_transcript, NoTranscriptFound, and TranscriptsDisabled. With yt-dlp: Sign in to confirm you're not a bot and subtitles HTTP 429. Platform guides: AWS Lambda, Vercel, Netlify, and Cloudflare Workers, Google Colab, and GitHub Actions or a VPS.