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Youtube User / Channel Scraper

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Youtube User / Channel Scraper

Youtube User / Channel Scraper

gentle_cloud/youtube-user-channel-scraper
Try for free

No credit card required

You can use this collector to automatically collect information about YouTube bloggers, such as nickname, avatar, country, introduction, joining time, number of videos, number of views, number of fans, etc. You only need to determine the urls and ids or channel ids

You can access the Youtube User / Channel Scraper programmatically from your own Python 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 ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "start_urls": [{ "url": "https://www.youtube.com/channel/UCyBD3P9YOFWNIMTuDzqeObg" }],
10    "ids": "UCyBD3P9YOFWNIMTuDzqeObg",
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("gentle_cloud/youtube-user-channel-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 User / Channel Scraper API in Python

The Apify API client for Python is the official library that allows you to use Youtube User / Channel Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Community
Actor metrics
  • 29 monthly users
  • 7 stars
  • 100.0% runs succeeded
  • 9.2 hours response time
  • Created in Feb 2024
  • Modified about 1 month ago