Youtube Comment Scrapper
Pricing
$1.80 / 1,000 comments
Youtube Comment Scrapper
Scrape comments on Youtube Video Pages. Just specify the video page urls to visit and how many comments you would like to collect. We'll get all meaningful information: comment text, author, publication date, number of likes and replies and video+channel url and id
5.0 (1)
Pricing
$1.80 / 1,000 comments
12
Monthly users
33
Runs succeeded
>99%
Last modified
2 months ago
You can access the Youtube Comment Scrapper 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 "start_urls": [{ "url": "https://www.youtube.com/watch?v=3xGwtP97FXI" }],
10 "max_videos": 10,
11 "max_comments": 20,
12 "caption_languages": [],
13}
14
15# Run the Actor and wait for it to finish
16run = client.actor("deeper/youtube-comment-scrapper").call(run_input=run_input)
17
18# Fetch and print Actor results from the run's dataset (if there are any)
19print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
20for item in client.dataset(run["defaultDatasetId"]).iterate_items():
21 print(item)
22
23# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startYoutube Comment Scrapper API in Python
The Apify API client for Python is the official library that allows you to use Youtube Comment Scrapper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Pricing
Pricing model
Pay per resultThis Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.
Price per 1,000 items
$1.80
