Youtube Comments Scraper
1 day trial then $15.00/month - No credit card required now
This Actor may be unreliable while under maintenance. Would you like to try a similar Actor instead?
See alternative ActorsYoutube Comments Scraper
1 day trial then $15.00/month - No credit card required now
Extract detailed YouTube comments effortlessly with this powerful tool! Input video URLs or IDs and get comprehensive data in JSON format, including comment content, like counts, and commenter details. Perfect for researchers and developers. 📊🎥
You can access the Youtube Comments 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 "videoIds": [
10 "S7TUe5w6RHo",
11 "tybKnGZRwcU",
12 ],
13 "videoUrls": [{ "url": "https://www.youtube.com/watch?v=isdLel273rQ" }],
14}
15
16# Run the Actor and wait for it to finish
17run = client.actor("powerful_bachelor/youtube-comments-scraper").call(run_input=run_input)
18
19# Fetch and print Actor results from the run's dataset (if there are any)
20print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
21for item in client.dataset(run["defaultDatasetId"]).iterate_items():
22 print(item)
23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Youtube Comments Scraper API in Python
The Apify API client for Python is the official library that allows you to use Youtube Comments Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-client
Other API clients include:
Actor Metrics
4 monthly users
-
1 star
>99% runs succeeded
Created in Jun 2024
Modified 6 months ago