![Youtube Transcripts avatar](https://images.apifyusercontent.com/xVsxUSJZdASl50srXYn4vRohfjQfkEOIsN1w7Yupfjk/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vZDhoTVFjSnN1OU10YThBZDMvOVVpVjlBaHo4akpNTUd3blAteW91dHViZS10cmFuc2NyaXB0LnBuZw.webp)
Youtube Transcripts
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View all Actors![Youtube Transcripts](https://images.apifyusercontent.com/xVsxUSJZdASl50srXYn4vRohfjQfkEOIsN1w7Yupfjk/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vZDhoTVFjSnN1OU10YThBZDMvOVVpVjlBaHo4akpNTUd3blAteW91dHViZS10cmFuc2NyaXB0LnBuZw.webp)
![Youtube Transcripts](https://images.apifyusercontent.com/xVsxUSJZdASl50srXYn4vRohfjQfkEOIsN1w7Yupfjk/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vZDhoTVFjSnN1OU10YThBZDMvOVVpVjlBaHo4akpNTUd3blAteW91dHViZS10cmFuc2NyaXB0LnBuZw.webp)
Youtube Transcripts
digitalatscale/youtube-transcripts
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The YouTube Transcript Scraper is a simple tool designed to extract the transcript from any YouTube video. By providing a YouTube video URL, the scraper will retrieve the full transcript if available. This tool is useful for researchers, content creators, and anyone that needs a YouTube transcript
The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn more
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = { "url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ" }
8
9# Run the Actor and wait for it to finish
10run = client.actor("digitalatscale/youtube-transcripts").call(run_input=run_input)
11
12# Fetch and print Actor results from the run's dataset (if there are any)
13print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
14for item in client.dataset(run["defaultDatasetId"]).iterate_items():
15 print(item)
16
17# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Developer
Maintained by Community
Actor metrics
- 79 monthly users
- 16 stars
- 81.7% runs succeeded
- Created in Jun 2024
- Modified 23 days ago
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