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Gather VK comments for product feedback planning
Collect comments with post context, author references and source links from VK discussions to prepare a product feedback worksheet. Product teams can identify suggestions and compare them with their own backlog. The exported comments are not filtered into feature requests or ranked by importance.
VK Comments Scraper โ Post Discussions & Repliesscrapingmonkey/vk-post-comments-scraper
Input
Status
URL
ID
+50 fieldsTextNumberBooleanListObject
Input
๐ Comment pages per post:1
๐ VK post URLs(required):https://vk.ru/wall-22822305_1721576
Output fields
Input
Status
URL
ID
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
Sign up on Apify01
Create your Apify account to access the VK Comments Scraper โ Post Discussions & Replies.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
