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YouTube Transcript Downloader - Apify Actor

Download transcripts from YouTube videos with support for multiple languages.

Pricing

• Pay per result: $2.99 per 1,000 transcripts ($0.00299 per transcript)

Features

• Download transcripts from multiple YouTube videos
• Support for different languages
• Multiple output formats (plain text, SRT, VTT, JSON)

Input Configuration

• urls - list of Youtube urls.
• lanauge - Optional; if not specified, will get original language for each video.

{
"urls":["https://www.youtube.com/watch?v=VIDEO_ID"],
"language":"en",
}

Output Schema

Each result contains:

{
"videoId":"VIDEO_ID",
"videoUrl":"https://...",
"videoTitle":"Video Title",
"channelName":"Channel Name",
"duration":360,
"language":"en",
"transcript":"Full transcript text",
"transcriptSegments":[
{
"text":"Segment text",
"start":0,
"duration":5.2,
"end":5.2
}
],
"fetchedAt":"2024-01-01T00:00:00Z",
"hash":"md5_hash_of_transcript"
}

How to Use

Using Python

1. Start an Actor Run

import requests
# Your Apify API token
API_TOKEN ="your_apify_api_token"
ACTOR_ID ="your_username/youtube-transcript-reliable"
# Start the actor
url =f"https://api.apify.com/v2/acts/{ACTOR_ID}/runs"
headers ={
"Authorization":f"Bearer {API_TOKEN}",
"Content-Type":"application/json"
}
# Input for the actor
input_data ={
"urls":[
"https://www.youtube.com/watch?v=dQw4w9WgXcQ",
"https://www.youtube.com/watch?v=9bZkp7q19f0"
],
"language":"en"
}
# Start the run
response = requests.post(url, json=input_data, headers=headers)
run_info = response.json()
run_id = run_info["data"]["id"]
print(f"Actor run started with ID: {run_id}")

2. Wait for Run to Complete

import time
# Check run status
whileTrue:
 status_url =f"https://api.apify.com/v2/acts/{ACTOR_ID}/runs/{run_id}"
 response = requests.get(status_url, headers=headers)
 run_status = response.json()
 status = run_status["data"]["status"]
print(f"Run status: {status}")
if status in["SUCCEEDED","FAILED","ABORTED"]:
break
 time.sleep(2)# Wait 2 seconds before checking again

3. Get the Results

# Get dataset items (transcripts)
dataset_id = run_status["data"]["defaultDatasetId"]
dataset_url =f"https://api.apify.com/v2/datasets/{dataset_id}/items"
response = requests.get(dataset_url, headers=headers)
transcripts = response.json()
# Process each transcript
for transcript in transcripts:
print(f"\nVideo: {transcript['videoTitle']}")
print(f"Channel: {transcript['channelName']}")
print(f"Language: {transcript['language']}")
print(f"Transcript preview: {transcript['transcript'][:200]}...")

Complete Example Script

from apify_client import ApifyClient
# Initialize the ApifyClient with your API token
client = ApifyClient("your_apify_api_token")
# Prepare the actor input
run_input ={
"urls":[
"https://www.youtube.com/watch?v=dQw4w9WgXcQ",
"https://www.youtube.com/watch?v=9bZkp7q19f0"
],
"language":"en"
}
# Run the actor and wait for it to finish
run = client.actor("your_username/youtube-transcript-reliable").call(run_input=run_input)
# Fetch results from the run's dataset
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(f"Video: {item['videoTitle']}")
print(f"Transcript: {item['transcript'][:500]}...")# First 500 chars
print("-"*80)

Using cURL

# Start the actor
curl-X POST https://api.apify.com/v2/acts/your_username~youtube-transcript-reliable/runs \
-H"Authorization: Bearer YOUR_API_TOKEN"\
-H"Content-Type: application/json"\
-d'{
 "urls": ["https://www.youtube.com/watch?v=VIDEO_ID"],
 "language": "en"
 }'

Input Parameters

Monitoring

View runs and logs in the Apify Console:

• Run history and statistics
• Detailed logs for debugging
• Dataset results
• Usage metrics for billing