🚀 YouTube Playlist Scraper🎥
Pricing
$5.00/month + usage
🚀 YouTube Playlist Scraper🎥
🎥 Extract video titles, channels, stats, thumbnails, and metadata from YouTube playlists in 🚀 2-5 mins! Perfect for research, archiving, or content analysis. Fast, reliable, and proxy-ready. 📊 🚀 YouTube Playlist Scraper🎥
0.0 (0)
Pricing
$5.00/month + usage
1
Total users
17
Monthly users
8
Runs succeeded
>99%
Issues response
0.17 hours
Last modified
6 days ago
You can access the 🚀 YouTube Playlist Scraper🎥 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 ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = { "playlist_urls": [9 { "url": "https://youtube.com/playlist?list=PLKqX9tEhgjeaqBzvPfRT4WZ_lLPc4gNfK&si=BBK3LDszV-myqaMS" },10 { "url": "https://www.youtube.com/playlist?list=PLe6YKWr4VVM1x2LIpiqmVvG4QgIvoDEdO" },11 ] }12
13# Run the Actor and wait for it to finish14run = client.actor("scrapearchitect/youtube-playlist-scraper").call(run_input=run_input)15
16# Fetch and print Actor results from the run's dataset (if there are any)17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])18for item in client.dataset(run["defaultDatasetId"]).iterate_items():19 print(item)20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start🚀 YouTube Playlist Scraper🎥 API in Python
The Apify API client for Python is the official library that allows you to use 🚀 YouTube Playlist Scraper🎥 API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include:
