YouTube Full Channel Transcripts Extractor
1 day trial then $15.00/month - No credit card required now
YouTube Full Channel Transcripts Extractor
1 day trial then $15.00/month - No credit card required now
With only the channel link You can extract 1 to 1000s of all the transcripts of a channel, be it videos or shorts or streams/lives or even podcasts and playlists, you name it. Get all the transcripts/captions organized with video ID and title in a nice table or JSON or CSV to download.
You can access the YouTube Full Channel Transcripts Extractor programmatically from your own Python applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9 "url": "https://www.youtube.com/@Vexento/shorts",
10 "maxRetries": 5,
11 "maxScrollRetries": 3,
12 "proxyOptions": { "useApifyProxy": True },
13}
14
15# Run the Actor and wait for it to finish
16run = client.actor("karamelo/youtube-full-channel-transcripts-extractor").call(run_input=run_input)
17
18# Fetch and print Actor results from the run's dataset (if there are any)
19print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
20for item in client.dataset(run["defaultDatasetId"]).iterate_items():
21 print(item)
22
23# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startYouTube Full Channel Transcripts Extractor API in Python
The Apify API client for Python is the official library that allows you to use YouTube Full Channel Transcripts Extractor API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
karameloActor Metrics
27 monthly users
-
8 stars
99% runs succeeded
9.4 hours response time
Created in Jul 2024
Modified 4 days ago
