Pikabu Comments Scraper avatar
Pikabu Comments Scraper

Pricing

$19.99/month + usage

Go to Apify Store
Pikabu Comments Scraper

Pikabu Comments Scraper

Scrape comments from Pikabu.ru posts with automatic pagination and comprehensive comment data extraction including ratings, emotions, and author information.

Pricing

$19.99/month + usage

Rating

5.0

(1)

Developer

PowerAI

PowerAI

Maintained by Community

Actor stats

1

Bookmarked

3

Total users

2

Monthly active users

a month ago

Last modified

Share

💬 Pikabu Comments Scraper

This actor allows you to scrape comments from Pikabu.ru posts by providing a story URL. It automatically handles pagination and extracts comprehensive comment information including ratings, emotions, author details, and content.

Features

  • URL-based Scraping: Extract comments by providing a complete Pikabu story/post URL
  • Automatic Pagination: Automatically loads more comments by clicking "Show More" button until reaching the end or max items limit
  • Comprehensive Comment Data: Extract detailed information about each comment including:
    • Comment content (text and HTML)
    • Author information (name, profile link, avatar)
    • Rating and voting data (pluses and minuses)
    • Timestamps (both human-readable and ISO format)
    • Comment images
    • Emotional reactions
    • Comment hierarchy (indent level)
    • Permalink and parent story links
    • Post author like status

Input Parameters

FieldTypeRequiredDescription
searchUrlstringYesComplete Pikabu story/post URL to scrape
maxItemsintegerNoMaximum number of comments to fetch
proxyConfigurationobjectNoProxy settings for the actor

How to Get Story URL

  1. Go to Pikabu.ru
  2. Navigate to any story/post you want to scrape comments from
  3. Copy the complete URL from your browser's address bar
  4. Paste it into the searchUrl field

Example story URLs:

https://pikabu.ru/story/vrode_v_sude_pervoy_instantsii_otbilis_13384965
https://pikabu.ru/story/your_story_id_here

Output

The output is a dataset of comment objects, each containing:

  • searchUrl: The original story URL used
  • commentId: Unique identifier for the comment
  • parentStoryId: ID of the parent story/post
  • indent: Comment nesting level (0 for top-level comments)
  • authorId: Comment author's user ID
  • authorName: Comment author's username
  • authorProfileLink: Link to author's profile
  • authorAvatar: URL of author's avatar image
  • rating: Overall comment rating
  • ratingPluses: Number of upvotes
  • ratingMinuses: Number of downvotes
  • createdAt: Comment creation timestamp (ISO format)
  • createdAtHuman: Human-readable creation time
  • contentText: Plain text content of the comment
  • contentHtml: HTML content of the comment
  • images: Array of image URLs in the comment
  • permalink: Direct link to this comment
  • parentStoryLink: Link to the parent story
  • parentStoryTitle: Title of the parent story
  • emotions: Array of emotional reactions with counts
  • likedByPostAuthor: Whether the post author liked this comment
  • scrapedAt: Timestamp of when the comment was scraped

Example output:

[
{
"searchUrl": "https://pikabu.ru/story/vrode_v_sude_pervoy_instantsii_otbilis_13384965",
"commentId": "373082474",
"parentStoryId": "13384965",
"indent": 0,
"authorId": "8515591",
"authorName": "user8515591",
"authorProfileLink": "https://pikabu.ru/@user8515591",
"authorAvatar": null,
"rating": 12108,
"ratingPluses": 12108,
"ratingMinuses": 0,
"createdAt": "2025-11-11T12:16:58+03:00",
"createdAtHuman": "17 часов назад",
"contentText": "Comment text here...",
"contentHtml": "<p>Comment HTML here...</p>",
"images": [],
"permalink": "https://pikabu.ru/story/otvet_na_post_vrode_v_sude_pervoy_instantsii_otbilis_13385895",
"parentStoryLink": "https://pikabu.ru/story/otvet_na_post_vrode_v_sude_pervoy_instantsii_otbilis_13385895",
"parentStoryTitle": "ответный пост",
"emotions": [
{
"id": "6",
"count": 159
},
{
"id": "13",
"count": 25
}
],
"likedByPostAuthor": true,
"scrapedAt": "2025-11-12T02:17:33.910Z"
},
...
]

Use Cases

  • Social media sentiment analysis
  • Community engagement tracking
  • Content moderation research
  • User behavior analysis
  • Comment quality assessment
  • Viral content identification
  • Community trend monitoring
  • Author reputation tracking

Notes

  • Results are automatically paginated until reaching the end or max items limit
  • All comments are deduplicated based on comment IDs
  • Results are saved incrementally as they are found
  • All timestamps are in ISO 8601 format
  • The actor handles network delays and timeouts gracefully
  • Comments are extracted with their full HTML formatting preserved
  • Emotional reactions are captured with their counts

Limitations

  • Only works with Pikabu.ru story/post pages
  • Cannot scrape nested/reply comments that require separate loading
  • Some dynamic content may require additional wait time
  • Rate limiting may apply if scraping very large datasets
  • Comment images are captured as URLs only

Start scraping comments from Pikabu.ru today!