๐Ÿฏ Youtube Scraper (Pay Per Result) avatar
๐Ÿฏ Youtube Scraper (Pay Per Result)
Try for free

Pay $0.50 for 1,000 videos

View all Actors
๐Ÿฏ Youtube Scraper (Pay Per Result)

๐Ÿฏ Youtube Scraper (Pay Per Result)

apidojo/youtube-scraper
Try for free

Pay $0.50 for 1,000 videos

Experience unparalleled efficiency and depth with its ultra-fast capabilities in searching, URL, playlist, channel, and profile scraping. It comes equipped with a variety of filters to customize your data collection precisely. Plus, it's incredibly affordable at only $0.50 per 1000 videos!

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 mode

Node.js

Python

curl

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 = {
8    "startUrls": [
9        "https://www.youtube.com/results?search_query=never+gonna+give+you+up",
10        "https://www.youtube.com/watch?v=xuCn8ux2gbs",
11        "https://www.youtube.com/channel/UCsXVk37bltHxD1rDPwtNM8Q",
12        "https://www.youtube.com/watch?v=kXYiU_JCYtU&list=PL6Lt9p1lIRZ311J9ZHuzkR5A3xesae2pk",
13        "https://www.youtube.com/shorts/vVTa1_hm4n4",
14        "https://www.youtube.com/results?search_query=recipes",
15        "https://www.youtube.com/@gordonramsay/shorts",
16    ],
17    "youtubeHandles": [
18        "@MrBeast",
19        "@babishculinaryuniverse",
20    ],
21    "keywords": ["pixel art"],
22    "uploadDate": "all",
23    "duration": "all",
24    "features": "all",
25    "sort": "r",
26    "maxItems": 1000,
27    "customMapFunction": "(object) => { return {...object} }",
28}
29
30# Run the Actor and wait for it to finish
31run = client.actor("apidojo/youtube-scraper").call(run_input=run_input)
32
33# Fetch and print Actor results from the run's dataset (if there are any)
34for item in client.dataset(run["defaultDatasetId"]).iterate_items():
35    print(item)
Developer
Maintained by Community
Actor metrics
  • 20 monthly users
  • 91.5% runs succeeded
  • 0.5 days response time
  • Created in Dec 2023
  • Modified about 6 hours ago