📰 Pikabu Search Scraper

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

Features

• URL-based Scraping: Extract stories by providing a complete Pikabu search URL
• Automatic Pagination: Automatically scrolls and loads more stories until reaching the end or max items limit
• Comprehensive Story Data: Extract detailed information about each story including:
  • Story title and full content
  • Author information (name, ID, avatar, profile link)
  • Community information (name and link)
  • Story metadata (ID, creation date, detail page URL)
  • Engagement metrics (rating, comments count, views)
  • Tags and categories
  • Cover images

Input Parameters

Field	Type	Required	Description
searchUrl	string	Yes	Complete Pikabu search URL to scrape
maxItems	integer	No	Maximum number of stories to fetch (default: unlimited)
proxyConfiguration	object	No	Proxy settings for the actor

How to Get Search URL

1. Go to Pikabu.ru
2. Use the search bar to find stories by keywords
3. Apply any filters or sorting options you need
4. Copy the complete URL from your browser's address bar
5. Paste it into the searchUrl field

Example search URLs:

https://pikabu.ru/search?q=iphone&st=3
https://pikabu.ru/search?q=technology
https://pikabu.ru/search?q=cats&st=1

Output

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

• searchUrl: The original search URL used
• storyId: Unique story identifier
• title: Story title
• detailPageUrl: Direct link to the full story page
• content: Full story text content
• authorId: Author's unique identifier
• authorName: Author's username
• authorLink: Link to author's profile
• authorAvatar: URL of author's avatar image
• communityName: Name of the community (if posted in a community)
• communityLink: Link to the community
• createdAt: ISO timestamp of when the story was created
• createdAtHuman: Human-readable creation time (e.g., "5 дней назад")
• coverImage: URL of the story's cover image
• rating: Story rating (upvotes/downvotes score)
• commentsCount: Number of comments
• views: Number of views (if available)
• tags: Array of tags associated with the story
• scrapedAt: Timestamp of when the story was scraped

Example output:

[
  {
    "searchUrl": "https://pikabu.ru/search?q=iphone&st=3",
    "storyId": "13369501",
    "authorId": "11227428",
    "authorName": "JollyJoyer",
    "authorLink": "https://pikabu.ru/@JollyJoyer",
    "authorAvatar": "https://cs19.pikabu.ru/s/2025/10/13/23/7gtuwzob_m.webp",
    "communityName": "JollyJoy",
    "communityLink": "/community/Jolly_Joy?from=admoder",
    "title": "Уважительная причина",
    "detailPageUrl": "https://pikabu.ru/story/uvazhitelnaya_prichina_13369501",
    "createdAt": "2025-11-06T16:43:00+03:00",
    "createdAtHuman": "5 дней назад",
    "coverImage": "https://cs16.pikabu.ru/s/2025/11/06/08/blhsisup.webp",
    "rating": 148,
    "commentsCount": 19,
    "views": null,
    "tags": [
      "Кот",
      "Переписка",
      "Уважительная причина",
      "iPhone",
      "Повтор",
      "Реферальная ссылка",
      "Реклама"
    ],
    "content": "На aliexpress\n\nили на яндекс маркете\n\nПриглашаю вступить в моё сообщество",
    "scrapedAt": "2025-11-12T01:53:21.358Z"
  },
  ...
]

Use Cases

• Content monitoring and analysis
• Trend tracking on Russian social media
• Author and community research
• Engagement metrics analysis
• Content aggregation for news feeds
• Social media sentiment analysis
• Tag and category research

Notes

• The actor works with Pikabu.ru (Russian social news platform)
• Results are automatically deduplicated based on story URLs
• All timestamps are in ISO 8601 format
• Results are saved incrementally as they are found
• The actor handles network delays and timeouts gracefully

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Start scraping stories from Pikabu.ru today!