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Youtube Comments Scraper

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Youtube Comments Scraper

Youtube Comments Scraper

Developed by

Scraper One

Scraper One

Maintained by Community

Extract comments from YouTube videos based on provided video URLs. Retrieve comment text, author info, timestamp, likes, and more. Perfect for audience sentiment analysis, content feedback tracking, and YouTube engagement monitoring.

0.0 (0)

Pricing

Pay per event

0

Total users

6

Monthly users

6

Runs succeeded

>99%

Last modified

3 days ago

You can access the Youtube Comments 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 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 "videoUrls": [
10 "https://www.youtube.com/watch?v=ZxXruY7llcc",
11 "https://www.youtube.com/shorts/0LI9Gf-bk5I",
12 ],
13 "resultsLimit": 20,
14}
15
16# Run the Actor and wait for it to finish
17run = client.actor("scraper_one/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: