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 API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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": ["https://www.youtube.com/watch?v=dQw4w9WgXcQ"],
10    "maxComments": 100,
11    "language": "en",
12    "onlyNew": False,
13}
14
15# Run the Actor and wait for it to finish
16run = client.actor("seasoned_seaurchin/youtube-comments-scraper").call(run_input=run_input)
17
18# Fetch and print Actor results from the run's dataset (if there are any)
19print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
20for item in client.dataset(run.default_dataset_id).iterate_items():
21    print(item)
22
23# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

YouTube Comments Scraper - Export to JSON, CSV, Excel 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:

YouTube Comments Scraper API in JavaScript

YouTube Comments Scraper API through CLI

YouTube Comments Scraper OpenAPI definition

YouTube Comments Scraper API

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Only $0.18/1000 tweets for Twitter scraping, 100% reliability, swift data retrieval.This incredible low price is almost too good to be true.Thanks to our large-scale operations and efficient servers, we can offer you rock-bottom prices that no competitors can match.