Pricing

Pay per usage

YouTube Comments Scraper With Commenter Lead Enrichment

YouTube Comments Scraper extracts comments from any YouTube video, capturing usernames, text, timestamps, likes, replies, and comment IDs. Ideal for sentiment analysis, audience research, trend monitoring, and automating structured YouTube comment data collection at scale

Pricing

Pay per usage

Rating

0.0

(0)

Developer

SimpleAPI

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

Categories

Automation

Lead generation

Social media

You can access the YouTube Comments Scraper With Commenter Lead Enrichment 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.

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    "targetVideos": ["https://www.youtube.com/watch?v=KrLj6nc516A"],
10    "commentsPerVideo": 10,
11    "commentSortMode": "top",
12    "maxCommentersToEnrich": 0,
13    "maxRepliesPerComment": 50,
14    "proxyConfiguration": { "useApifyProxy": False },
15}
16
17# Run the Actor and wait for it to finish
18run = client.actor("simpleapi/youtube-comments-scraper").call(run_input=run_input)
19
20# Fetch and print Actor results from the run's dataset (if there are any)
21print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
22for item in client.dataset(run["defaultDatasetId"]).iterate_items():
23    print(item)
24
25# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

YouTube Comments Scraper With Commenter Lead Enrichment API in Python

The Apify API client for Python is the official library that allows you to use YouTube Comments Scraper With Commenter Lead Enrichment 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 With Commenter Lead Enrichment API in JavaScript

YouTube Comments Scraper With Commenter Lead Enrichment API through CLI

YouTube Comments Scraper With Commenter Lead Enrichment OpenAPI definition

YouTube Comments Scraper With Commenter Lead Enrichment API

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