![Youtube Comments Scraper avatar](https://images.apifyusercontent.com/20xMIU54-RZXEM_UZzYRrlG13xuBNL_LVKfQ450oviE/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9wN1VNZHBRbmpLbW1wUjIxRC9YSzNpOXZlNzVqaVhTa0VxMy1Zb3V0dWJlX2NvbW1lbnRzLnBuZw.webp)
Youtube Comments Scraper
Try for free
Pay $2.00 for 1,000 comments
View all Actors![Youtube Comments Scraper](https://images.apifyusercontent.com/20xMIU54-RZXEM_UZzYRrlG13xuBNL_LVKfQ450oviE/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9wN1VNZHBRbmpLbW1wUjIxRC9YSzNpOXZlNzVqaVhTa0VxMy1Zb3V0dWJlX2NvbW1lbnRzLnBuZw.webp)
![Youtube Comments Scraper](https://images.apifyusercontent.com/20xMIU54-RZXEM_UZzYRrlG13xuBNL_LVKfQ450oviE/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9wN1VNZHBRbmpLbW1wUjIxRC9YSzNpOXZlNzVqaVhTa0VxMy1Zb3V0dWJlX2NvbW1lbnRzLnBuZw.webp)
Youtube Comments Scraper
streamers/youtube-comments-scraper
Try for free
Pay $2.00 for 1,000 comments
This alternative YouTube Data API has no limits or quotas. Extract YouTube comments data from one or multiple YouTube videos: full comment text, posting date, author username, video title, videoId. Download YouTube comments in JSON, CSV, and Excel.
The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn more
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = {
8 "startUrls": [{ "url": "https://www.youtube.com/watch?v=xObhZ0Ga7EQ" }],
9 "maxComments": 10,
10}
11
12# Run the Actor and wait for it to finish
13run = client.actor("streamers/youtube-comments-scraper").call(run_input=run_input)
14
15# Fetch and print Actor results from the run's dataset (if there are any)
16print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
17for item in client.dataset(run["defaultDatasetId"]).iterate_items():
18 print(item)
19
20# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Developer
Maintained by Apify
Actor metrics
- 166 monthly users
- 17 stars
- 95.8% runs succeeded
- 8.3 days response time
- Created in Jul 2023
- Modified 8 days ago
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