YouTube Comment Sentiment Analysis Tool - Score at Scale
Pricing
from $2.00 / 1,000 comments
Scrapes comments and scores each one for sentiment, a toxicity triage signal, content keywords and question intent, then adds a summary row with the sentiment split and top keywords. A lexicon signal built for sorting volume, not a moderation verdict. Pay per comment, no run-start fee.
You can access the YouTube Comment Sentiment Analysis Tool - Score at Scale 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.
![🔬 LinkedIn Comment Thread: Replies + Reactors [No Login] ✅ avatar](https://images.apifyusercontent.com/zfftcEKpV3L9DV7HhjOvW7JVP3gBWow53yEMmj-T5wI/rs:fill:76:76/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vc0NDU2R3bm1LTUoxUTJzVG4tYWN0b3ItRFZWeHE0dXNlM3V5bVI3T2ItaHk0ODZwcGFOQS1fX19fX19fX19fX19fJTI4MTclMjkucG5n.webp){kind=avatar}
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = { "videoUrls": ["https://www.youtube.com/watch?v=dQw4w9WgXcQ"] }9
10# Run the Actor and wait for it to finish11run = client.actor("vonsensey/youtube-comment-sentiment-analysis-tool").call(run_input=run_input)12
13# Fetch and print Actor results from the run's dataset (if there are any)14print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")15for item in client.dataset(run.default_dataset_id).iterate_items():16 print(item)17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use YouTube Comment Sentiment Analysis Tool - Score at Scale API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: