VK Comments Scraper
Pay $5.00 for 1,000 comments
VK Comments Scraper
Pay $5.00 for 1,000 comments
Extract data from hundreds of VK comments from one or multiple VK posts. Get comment text, timestamp, likes count and basic commenter info. Download the data in JSON, CSV, Excel and use it in apps, spreadsheets, and reports.
You can access the VK Comments Scraper programmatically from your own Python 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 "startUrls": [{ "url": "https://vk.com/wall-201571192_2798" }],
10 "resultsLimit": 20,
11 "proxy": { "useApifyProxy": True },
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("mscraper/vk-comments-scraper").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
19for item in client.dataset(run["defaultDatasetId"]).iterate_items():
20 print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startVK Comments Scraper API in Python
The Apify API client for Python is the official library that allows you to use VK Comments Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
mscraper- 4 monthly users
- 1 star
- 69.8% runs succeeded
- 3.5 hours response time
- Created in May 2023
- Modified 11 months ago
