Collect VK comments for support issue research

Created by

ScrapingMonkey

Actor

VK Comments Scraper – Post Discussions & Replies

Collect visible VK comment text, posting dates and parent-post context to prepare a dataset for customer support issue research. Support teams can review reported problems and group them in their own issue workflow. The task does not validate incidents, classify complaints or create tickets.

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VK Comments Scraper – Post Discussions & Repliesscrapingmonkey/vk-post-comments-scraper

Input

Status

URL

+51 fields

Input

📄 Comment pages per post (≈20 comments per page + replies):1

🔗 VK post URLs(required):https://vk.ru/wall-22822305_1721576

Output fields

Input

Status

URL

Comment ID

Post ID

Text

Date

Timestamp

Date Text

Author / ID

Author / Name

Author / URL

Author / Avatar URL

Likes Count

Parent Comment ID

Reply To / Author ID

Reply To / Author Name

Is From Post Author

Attachments / Path

Attachments / Value

Post / URL

Post / ID

Post / Owner ID

Post / Text

Post / Date

Post / Author / ID

Post / Author / Name

Post / Author / URL

Post / Author / Avatar URL

Post / Likes Count

Post / Comments Count

Post / Reposts Count

Post / Views Count

Post / Attachments / Path

Post / Attachments / Value

Post / Post ID

Post / Author ID

Post / Timestamp

Post / Date Text

Post / Reposted Posts / Path

Post / Reposted Posts / Value

Post / Post Type

Post / Signer ID

Post / Is Pinned

Post / Is Ad

Post / Is Favorite

Post / Can Like

Post / Can Comment

Post / Can Repost

Post / Copyright / Path

Post / Copyright / Value

Post / Geo / Path

Post / Geo / Value

Failure Reason

How it works

Sign up on Apify or log in

The VK Comments Scraper – Post Discussions & Replies Actor is ready to run with the inputs already set for "Collect VK comments for support issue research". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Collect VK comments for support issue research" task

The VK Comments Scraper – Post Discussions & Replies Actor will start running based on the input automatically. You can also change all the input fields, like 📄 comment pages per post (≈20 comments per page + replies) and 🔗 vk post urls, to match your specific use case.

Receive the "Collect VK comments for support issue research" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as input, status, URL, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Collect VK comments for support issue research" task via API.