Youtube Transcript (1$/month - Reliable! & Efficient!)

Youtube Transcript (1$/month - Reliable! & Efficient!)

Youtube Transcript (with video details and transcript timestamps)

AUTOMATIONVIDEOSAIApify

YouTube Transcript Scraper: The Most Efficient and Reliable YouTube Transcript Scraper on Apify

Our YouTube Transcript Scraper is the fastest, most cost-effective, and reliable tool on Apify for extracting transcripts from YouTube videos. Whether you're conducting research, analyzing video content, or creating a transcript database, this scraper handles all the work quickly and at an affordable price. Here's how to get started:

🚀 How to Use:

To begin, simply provide a list of YouTube video URLs for which you want to retrieve the transcript data. The scraper will then fetch the relevant information for you.

Input:

  • Video URLs (video_urls): An array of YouTube video URLs you want to scrape the transcript from.
    Ensure that the video URLs contain either youtube.com/watch?v= or youtu.be/ followed by the video ID.
    Example URLs:
    • https://www.youtube.com/watch?v=FqZYHHNntk0
    • https://youtu.be/FqZYHHNntk0

For videos without a transcript, the data will include only the video details.

Once you've entered your video URLs, let our scraper do the rest!

📊 Data Fields Explained: A Breakdown of Each Column

Here’s a breakdown of the data you'll receive from the scraper:

📝 Transcript Data

  • transcript: The full transcript of the video, including all spoken content.
  • transcriptWithTimestamp: The transcript data, but with timestamps added, indicating when each part of the transcript was spoken in the video.

🎥 Video Details

  • channelName: The name of the YouTube channel that uploaded the video.
  • channelSubscription: The number of subscribers the channel has.
  • videoTitle: The title of the YouTube video.
  • url: The URL of the YouTube video.
  • views: The number of views the video has received.
  • videoPostDate: The date when the video was posted.

📈 Use Cases:

  • Content Analysis: Extract and analyze spoken content for research, summaries, or understanding video themes.
  • Accessibility: Create transcripts for making videos more accessible to a wider audience.
  • Text Mining: Use the transcript data for further processing, sentiment analysis, or keyword extraction.

💡 Key Benefits:

  • Automate the extraction of YouTube video transcripts.
  • Easily analyze or integrate transcript data into other tools for deeper insights.
  • Get full, accurate transcripts and timestamped data to enhance content understanding.

By using this scraper, you can effortlessly access YouTube video transcripts, saving time and effort in collecting content data for various use cases! 🚀

Input Example

1{
2  "input": {
3    "video_urls": [
4      {
5        "url": "https://www.youtube.com/watch?v=FqZYHHNntk0"
6      },
7      {
8        "url": "https://www.youtube.com/watch?v=-Fwz0Xplf3U"
9      }
10    ]
11  }
12}

Output Example

1{
2  "output": [
3    {
4      "channelName": "Scarlet Grunt",
5      "channelSubscription": "9.78K subscribers",
6      "videoTitle": "Crazy? I was crazy once!",
7      "url": "https://www.youtube.com/watch?v=FqZYHHNntk0",
8      "views": "3,451,159 views",
9      "videoPostDate": "Oct 15, 2007",
10      "transcript": "crazy I was crazy once they put me in a room a rubber room there ever rats rats I hate rats they make me crazy ...",
11      "transcriptWithTimestamps": [
12        {
13          "timestamp": "0:01",
14          "text": "crazy I was crazy once they put me in a"
15        },
16        {
17          "timestamp": "0:05",
18          "text": "room a rubber"
19        },
20        {
21          "timestamp": "0:07",
22          "text": "room there ever rats rats I hate rats"
23        },
24        {
25          "timestamp": "0:12",
26          "text": "they make me crazy"
27        },
28        {
29          "timestamp": "...",
30          "text": "..."}
31      ]
32    },
33    {
34      "channelName": "Legend of the Strongest Dinosaurs",
35      "channelSubscription": "254 subscribers",
36      "videoTitle": "The discovery of Australopithecus and its evolutionary significance export 🏃Bipedalism",
37      "url": "https://www.youtube.com/watch?v=-Fwz0Xplf3U",
38      "views": "64 views",
39      "videoPostDate": "Nov 27, 2024",
40      "transcript": "",
41      "transcriptWithTimestamps": []
42    }
43  ]
44}

Frequently Asked Questions

Is it legal to scrape job listings or public data?

Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.

Do I need to code to use this scraper?

No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.

What data does it extract?

It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.

Can I scrape multiple pages or filter by location?

Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.

How do I get started?

You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!