Youtube Transcripts
Pricing
$7.50 / 1,000 transcripts
Youtube Transcripts
Extract 1 or 1000s of YouTube transcripts fast. Save time & effort . Get accurate structured transcripts or captions in seconds for each video & short. Export in various formats,, JSON, XML, HTML, CSV, EXCEL... Boost your productivity!
3.0 (1)
Pricing
$7.50 / 1,000 transcripts
96
Monthly users
558
Runs succeeded
>99%
Response time
7.7 hours
Last modified
4 days ago
You can access the Youtube Transcripts programmatically from your own 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 "urls": ["https://www.youtube.com/watch?v=b_nep8vMnkc"],
10 "maxRetries": 8,
11 "proxyOptions": {
12 "useApifyProxy": True,
13 "apifyProxyGroups": ["BUYPROXIES94952"],
14 },
15}
16
17# Run the Actor and wait for it to finish
18run = client.actor("karamelo/youtube-transcripts").call(run_input=run_input)
19
20# Fetch and print Actor results from the run's dataset (if there are any)
21print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
22for item in client.dataset(run["defaultDatasetId"]).iterate_items():
23 print(item)
24
25# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startYoutube Transcripts API in Python
The Apify API client for Python is the official library that allows you to use Youtube Transcripts API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Pricing
Pricing model
Pay per resultThis Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.
Price per 1,000 items
$7.50
