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Document VK announcements for newsroom research
Collect text, authors, dates and original links from selected VK announcements to prepare source records for a newsroom brief. Editors can document posts they already identified and check statements against the original pages. The task does not detect news or verify the truth of a claim.
VK Post Details Scraper โ Text, Media & Engagementscrapingmonkey/vk-post-details-scraper
Input
Status
URL
ID
+31 fieldsTextNumberBooleanListObject
Input
๐ VK post URLs(required):https://vk.ru/wall-22822305_1721576
Output fields
Input
Status
URL
ID
Post ID
Owner ID
Author ID
Text
Date
Timestamp
Date Text
Author / ID
Author / Name
Author / URL
Author / Avatar URL
Likes Count
Comments Count
Reposts Count
Views Count
Attachments / Path
Attachments / Value
Reposted Posts / Path
Reposted Posts / Value
Post Type
Signer ID
Is Pinned
Is Ad
Is Favorite
Can Like
Can Comment
Can Repost
Copyright / Path
Copyright / Value
Geo / Path
Geo / Value
Sign up on Apify01
Create your Apify account to access the VK Post Details Scraper โ Text, Media & Engagement.
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.
