Pikabu Scraper | Posts, Comments and Views

Pikabu Scraper (Пикабу) | Posts, Comments, Views and Reactions (2026)

From SilentFlow. Creators of Facebook Search Scraper and JD Products Scraper (#1 for “jd scraper” in Apify Store search), with 950,000+ combined lifetime runs.

Every Pikabu post you care about as one clean row, with the conversation under it and the numbers around it. 20 posts, 189 comments, real view counts and votes for and against in 11 seconds, without a Pikabu account.

Why choose this actor?

Reading a Pikabu post's score but not the comments that made it? Rebuilding a search link by hand every time you want a tag or a community? Looking at a rating without knowing how many people voted against?

• The best comments inside every post. Each post row carries its top-level comments, best rated first, with the commenter, the text, the rating, the pluses and minuses and the date, up to 100 per post. Our default run on the keyword iPhone returned 20 posts and 189 comments, every one of the 20 posts with its comments. A post link and one author profile gave 11 posts and 198 comments in 7 seconds. No second scraper, no join.
• Votes for and against, and reactions by type. Every row splits the rating into pluses and minuses and counts the emoji reactions one by one. In the default run, all 20 posts came with their pluses and minuses, and 16,851 reactions across 29 reaction types. A post rated 1,761 shows 1,952 pluses against 191 minuses: the difference between a liked post and a divisive one.
• Tags, communities and authors next to your keywords, in one run. Type a tag by name, paste a community, a user page, a feed or a single post, and mix them with keywords: a post found twice is saved once. The tag Кот, top rated, returned 30 posts in 8 seconds. The Аниме community gave 15 posts in 11 seconds. No search link to build by hand.
• Every picture and the video, not just a cover. Each row lists all the pictures of the post at full size, plus the video link and its length. On the tag Кот, top rated, 24 of 30 posts came with pictures, 75 in all, one post with 18. In the default iPhone run, 16 of 20 posts had a picture or a video, and 7 videos came with their length.

Try your first 20 posts

Paste this input in the Input tab, or keep the prefilled form, and press Start:

{
  "searchQueries": ["iPhone"],
  "maxItems": 20
}

You get the 20 posts Pikabu ranks hot for the keyword iPhone, each with its full text, tags, community, author and subscriber count, rating, pluses, minuses, views, saves, reactions, pictures or video, and its 10 best comments. That took 11 seconds in our run. Swap the keyword for your brand or topic, or add a tag or a community link, and raise maxItems to go deeper.

The Apify Free plan is enough to try it: no credit card, no Pikabu account.

Copy to your AI assistant

Paste this block into Claude, ChatGPT or Cursor to give it full context about this scraper:

You have access to the Pikabu Scraper on Apify: silentflow/pikabu-scraper

It reads public posts and comments from Pikabu (pikabu.ru, Пикабу), without any Pikabu account.

Input (no field is required, add at least one keyword, tag or link):
- searchQueries (array of strings): keywords searched on Pikabu, any language (iPhone, ипотека)
- tags (array of strings): Pikabu tags, with or without # (Кот, Юмор)
- startUrls (array of {url}): any pikabu.ru link: /search?q=, /tag/..., /community/..., /@user, /new, /best, /story/... (one post)
- maxItems (integer, default 50): total posts saved across all inputs
- sort (hot | new | best, default hot): order of keyword and tag results; links keep their own order
- minRating (integer): keep posts rated at least this much
- minComments (integer, default 0): keep posts with at least this many comments
- publishedWithinDays (integer, default 0): keep posts from the last N days; with sort=new the run stops at the first older post
- maxComments (integer 0 to 100, default 10): best top-level comments added to each post, 0 for none
- debugMode (boolean, default false)

Output: one row per post, 30 fields, flat except tags, reactions, images and comments.
id (string), url, title, text, textLength (integer), tags[], isOriginal (bool, tagged [моё]),
communityName, communityUrl, authorId, authorName, authorUrl, authorAvatar, authorSubscribers (integer),
rating, pluses, minuses (integers; pluses and minuses null while a fresh post collects votes),
commentsCount, views, savesCount, reactionsCount (integers), reactions (object: reaction name -> count),
publishedAt (RFC 3339 UTC), imageUrl (first picture or video cover), images[], videoUrl, videoDuration (seconds),
comments[] (id, url, authorName, authorUrl, text, rating, pluses, minuses, publishedAt), sourceUrl, scrapedAt.
Posts found by several inputs are delivered once.

Use apify-client for Python or JavaScript, or the Apify API.

How to scrape Pikabu posts

Get the hot posts about a keyword

{
  "searchQueries": ["iPhone"],
  "maxItems": 20
}

The prefilled run: the posts Pikabu shows first for the keyword, each with its 10 best comments. Add several keywords, one per line, to cover a brand and its spellings (Яндекс, Yandex).

Pull the best posts of all time under a tag

{
  "tags": ["Кот"],
  "sort": "best",
  "minRating": 5000,
  "maxComments": 5,
  "maxItems": 15
}

The top rated posts filed under the tag Кот, with a 5,000 rating floor and the 5 best comments of each. In our run: 15 posts rated 14,990 to 24,805, with up to 1,257,811 views, in 10 seconds.

Watch a community's busiest recent posts

{
  "startUrls": [{ "url": "https://pikabu.ru/community/anime" }],
  "publishedWithinDays": 30,
  "minComments": 10,
  "maxComments": 3,
  "maxItems": 15
}

The posts of the last 30 days in a community that drew at least 10 comments, each with its 3 best comments. Our run kept 15 posts and left 57 posts with fewer comments out of the dataset, in 11 seconds.

Input parameters

Parameter	Type	Default	What it does
searchQueries	array of strings	prefilled iPhone	Keywords searched on Pikabu, in Russian or any language.
tags	array of strings	none	Pikabu tags, with or without #. Each tag is the feed of every post filed under it.
startUrls	array of links	none	Any Pikabu page: search, tag, community, user, the hot, fresh or best feed, or a single post.
maxItems	integer	50	Total posts saved across every keyword, tag and link. No fixed upper limit.
sort	hot, new or best	hot	Order of keyword and tag results: hot today, newest first, or top rated of all time. Links keep the order they have on Pikabu.
minRating	integer	none	Keep only posts rated at least this much (pluses minus minuses).
minComments	integer	0	Keep only posts with at least this many comments.
publishedWithinDays	integer	0	Keep only posts from the last N days. 0 keeps every date.
maxComments	integer, 0 to 100	10	Best top-level comments added to each post. 0 skips comments.
debugMode	boolean	false	Detailed logs, for support.

Accepted link formats

• Search: https://pikabu.ru/search?q=ипотека (add &st=2 for top rated, &st=3 for hot)
• Tag: https://pikabu.ru/tag/Юмор, https://pikabu.ru/tag/Юмор/best
• Community: https://pikabu.ru/community/anime
• User: https://pikabu.ru/@pikabu (older /profile/ links work too)
• Feeds: https://pikabu.ru/, https://pikabu.ru/new, https://pikabu.ru/best
• One post: https://pikabu.ru/story/tak_i_zhivem_14499026, or https://pikabu.ru/story/_14499026

Links can be pasted with or without https://, with www. or m., and with a page= number: the run starts from the first page. Links that are not on pikabu.ru are skipped with a note in the log.

What data can you extract from Pikabu?

Each row is one Pikabu post with 30 fields, in the order you read a post:

• Identity: id (Pikabu's post number, stable), url (the permanent post link), title.
• Content: text (full text, one line per paragraph), textLength, tags, isOriginal (the author tagged it [моё], their own content), communityName, communityUrl.
• Author: authorId, authorName, authorUrl, authorAvatar, authorSubscribers (followers of the author when the post was read).
• Reception: rating, pluses, minuses, commentsCount, views, savesCount, reactionsCount, and reactions, the count of each emoji reaction by name.
• Time: publishedAt in RFC 3339 UTC.
• Media: imageUrl (the first picture, or the cover of the video), images (every picture of the post, full size), videoUrl (the video file or the YouTube embed), videoDuration in seconds.
• Comments: comments, up to 100 top-level comments, best rated first, each with 9 fields: id, url (a direct link to the comment), authorName, authorUrl, text, rating, pluses, minuses, publishedAt.
• Meta: sourceUrl (the page the post was found on), scrapedAt.

A field Pikabu does not show is null or an empty list, never a placeholder. In the default run, views, pluses, minuses, saves, reactions and comments were filled on all 20 posts, pictures or video covers on 16, and a video on 7.

Output example

One row from the default run, with its 10 comments cut to 2 here:

{
  "id": "14499026",
  "url": "https://pikabu.ru/story/tak_i_zhivem_14499026",
  "title": "Так и живем",
  "text": "ТГ канал 18+ https://t.me/trash_tv404\nМАКС канал https://max.ru/trash_tv404\n:3",
  "textLength": 78,
  "tags": ["Threads", "Компьютерные игры", "Telegram (ссылка)", "Мессенджер MAX (ссылка)", "Война полов", "Скриншот", "Комментарии", "Мужчины и женщины", "Playstation", "iPhone", "Покупка", "Чужое мнение", "Сумка"],
  "isOriginal": false,
  "communityName": "Мемы. Лучшее",
  "communityUrl": "https://pikabu.ru/community/mem",
  "authorId": "4590860",
  "authorName": "terebiata",
  "authorUrl": "https://pikabu.ru/@terebiata",
  "authorAvatar": "https://cs14.pikabu.ru/avatars/4590/m4590860-1555187224.png",
  "authorSubscribers": 4170,
  "rating": 1761,
  "pluses": 1952,
  "minuses": 191,
  "commentsCount": 458,
  "views": 233137,
  "savesCount": 86,
  "reactionsCount": 796,
  "reactions": {
    "100": 77,
    "100500": 567,
    "accordion": 3,
    "applause": 2,
    "clown": 114,
    "crying": 4,
    "facepalm": 10,
    "laugh": 13,
    "lol": 3,
    "omg": 1,
    "thinking": 2
  },
  "publishedAt": "2026-11-06T12:11:41Z",
  "imageUrl": "https://cs2.pikabu.ru/s/2026/11/06/15/cit4nmpl_lg.jpg",
  "images": ["https://cs2.pikabu.ru/s/2026/11/06/15/cit4nmpl_lg.jpg"],
  "videoUrl": null,
  "videoDuration": null,
  "comments": [
    {
      "id": "409525096",
      "url": "https://pikabu.ru/story/tak_i_zhivem_14499026?cid=409525096",
      "authorName": "sabaioni2017",
      "authorUrl": "https://pikabu.ru/@sabaioni2017",
      "text": "\"Мы покупаем вещи, которые нам не нужны, на деньги, которых у нас нет, чтобы произвести впечатление на людей, которые нам не нравятся.\" - Чак Паланик (Бойцовский клуб)",
      "rating": 547,
      "pluses": 550,
      "minuses": 3,
      "publishedAt": "2026-11-06T13:57:30Z"
    },
    {
      "id": "409535633",
      "url": "https://pikabu.ru/story/tak_i_zhivem_14499026?cid=409535633",
      "authorName": "123rds",
      "authorUrl": "https://pikabu.ru/@123rds",
      "text": "Много прочитал комментариев тут и не нашёл главного: если деньги позволяют- покупайте что хотите; хотите плойку- плойку, хбокс- хбокс, денег достаточно - и плойку, и хбокс, и сумочку.\nЕсли вы покупаете это все в кредит, рассрочку, заняв - глупость и детство с двух сторон.",
      "rating": 228,
      "pluses": 234,
      "minuses": 6,
      "publishedAt": "2026-11-06T15:53:47Z"
    }
  ],
  "sourceUrl": "https://pikabu.ru/search?q=iPhone&st=3",
  "scrapedAt": "2026-11-11T03:35:14Z"
}

The dataset opens on a Posts table (title, author, community, rating, views, comments, date, link) and offers an Engagement table (pluses, minuses, views, saves, reactions, comments). Export either one, or the full rows, as JSON, CSV, Excel, XML or HTML.

Advanced usage

Run a daily brand watch

{
  "searchQueries": ["Сбербанк", "Сбер"],
  "sort": "new",
  "publishedWithinDays": 1,
  "maxComments": 20,
  "maxItems": 200
}

Schedule it once a day on Apify. Newest first with a one-day window stops each keyword at the first older post, so a daily run reads only what is new, and the two spellings are merged: a post that matches both comes once.

Build a comment corpus for sentiment or language research

{
  "tags": ["Ипотека"],
  "sort": "best",
  "maxComments": 100,
  "maxItems": 100
}

Up to 100 best comments for each of the 100 top rated posts of a tag, each comment with its own rating, pluses and minuses, so you can weight agreement and disagreement instead of counting comments alone.

Benchmark an author's last month

{
  "startUrls": [{ "url": "https://pikabu.ru/@pikabu" }],
  "publishedWithinDays": 30,
  "maxComments": 0,
  "maxItems": 100
}

Every post an author published in the last 30 days with views, votes, saves and reactions, and the author's subscriber count on each row. Comments off keeps the run short when you only need the numbers.

Find the discussions that took off in a topic

{
  "searchQueries": ["ипотека"],
  "sort": "new",
  "publishedWithinDays": 7,
  "minComments": 100,
  "maxComments": 30,
  "maxItems": 50
}

This week's posts about mortgages that drew at least 100 comments, with their 30 best comments each. Quiet posts never reach your dataset.

Re-read a list of known posts

{
  "startUrls": [
    { "url": "https://pikabu.ru/story/tak_i_zhivem_14499026" },
    { "url": "https://pikabu.ru/story/_14507575" }
  ],
  "maxComments": 50
}

Paste the posts you track to refresh their views, rating, votes and best comments. Run it on a schedule and compare views and rating from one run to the next to follow how each post grows.

FAQ

What is Pikabu? Pikabu (Пикабу, pikabu.ru) is one of the largest Russian-language social news and entertainment sites, often called the Russian Reddit: users post stories, pictures and videos under tags and communities, vote them up or down, and discuss them in the comments.

Do I need a Pikabu account? No. The scraper reads public posts and comments as a visitor sees them. No login, no API key.

What does one row contain? One post: its text, tags, community, author with subscriber count, rating with pluses and minuses, views, saves, reactions by type, pictures, video, its best comments, and the date it was published. 30 fields in all, each comment with 9 more.

Do I get every comment, and the replies? You get up to 100 top-level comments per post, best rated first, as Pikabu ranks them. Replies to comments are not included. commentsCount still gives the full count of the discussion.

Why are pluses and minuses empty on some posts? Pikabu hides the split while a fresh post is still collecting votes ("Пост набирает рейтинг"). The rating itself is filled; pluses and minuses are null until Pikabu shows them, never a made-up number.

How many posts can I get? maxItems has no fixed upper limit. A broad keyword lists around 100 pages of results in each order, and tags, communities and users have as many pages as they have posts. Each keyword, tag or link is read for up to 500 pages.

Can I run several keywords, tags and links at once? Yes. Fill any mix of the three fields. They are read in order (links, then keywords, then tags) until maxItems posts are saved, and a post found by two inputs is delivered once.

Do the filters combine? Yes. sort = new, publishedWithinDays = 7 and minComments = 100 on the keyword ипотека returns this week's mortgage posts that drew at least 100 comments, newest first. minRating adds a vote floor on top.

How fresh is the data? Live. Every run reads Pikabu at the moment it runs, so views, ratings and comments are the ones shown at that time. Schedule the actor to follow them over time.

Are the links permanent? url and the comment url are the permanent Pikabu links and id is stable. Pictures and videos point to Pikabu's media servers or to YouTube: download them if you need a copy, as a deleted post can take its media with it.

Is the text translated? No. Posts and comments come as their authors wrote them, mostly in Russian. Add a translation step downstream if you need English.

Как спарсить посты с Пикабу? Парсер Пикабу: впишите ключевое слово, тег или ссылку на сообщество или автора и нажмите Start. Каждый пост станет строкой с текстом, тегами, рейтингом, плюсами и минусами, просмотрами, реакциями и лучшими комментариями.

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• LinkedIn Leads - LinkedIn Leads Scraper | Sales Navigator Export
• TikTok Creative - TikTok Creative Ads Scraper | Top Ads, Landing Pages & Metrics
• TikTok Trend - TikTok Trend Scraper | Trending Hashtags and Videos
• OnlyFans - OnlyFans Profile Scraper
• Discord - Discord Scraper | Servers, Member Counts and Invites
• Pinterest - Pinterest Ads Scraper | Ad Library, Reach & Targeting
• Discord - Discord Profiles Scraper | Users, Badges and Server Tags
• LinkedIn Ads Library - No Cookies - LinkedIn Ads Library Scraper - No Cookies
• LinkedIn Hashtag & - LinkedIn Hashtag & Post Scraper | No Cookies
• LinkedIn Sales Navigator - LinkedIn Sales Navigator Scraper
• Reddit - Reddit Scraper | Posts, Comments and Subreddits
• Snapchat - Snapchat Contacts Scraper | Phones, Emails and Websites
• Snapchat - Snapchat Videos Scraper | Spotlight Videos, MP4 and Stats
• TwitchTracker - TwitchTracker Scraper | Twitch Streamer Stats and Rankings
• YouTube - YouTube Channel Scraper | Videos, Shorts and Views
• Bilibili - Bilibili Scraper | Videos, Profiles, Comments, Danmaku
• Facebook Business Page - Facebook Business Page Scraper
• Kwai - Kwai Scraper | Videos, Creators and Hashtags
• Likee - Likee Scraper | Videos, Hashtags and Creators
• LinkedIn Event - LinkedIn Event Scraper
• LinkedIn People Search - LinkedIn People Search Scraper | Profiles & Companies
• Meta Ad Library - Meta Ad Library Scraper
• X Timeline - X Timeline Scraper | Tweets and Engagement Stats
• Bandsintown - Bandsintown Scraper | Concerts and Tour Dates
• Bluesky - Bluesky Scraper | Posts, Profiles and Followers
• Douyin - Douyin Comments Scraper | Comments, Likes and IP Regions
• Douyin - Douyin Hashtags Scraper | Views, Creators and Topics
• Facebook Thread - Facebook Thread Profiles Scraper | Followers, Bios & Engagement
• Kuaishou - Kuaishou Scraper | Videos, Comments and Creator Stats
• LoyalFans - LoyalFans Scraper | Creator Profiles and Prices
• Pinterest - Pinterest Profiles Scraper | Followers, Emails and Bios
• Pinterest - Pinterest Videos Scraper | Video Downloader, MP4 Links, Stats
• Pornhub - Pornhub Videos Scraper | Search, Tags and Stream Links
• Reddit - Reddit Comments Scraper | Search, Threads and Replies
• Reddit - Reddit Profiles Scraper | User Karma, Activity and Communities
• RedNote - RedNote Videos Scraper | Downloader, Transcripts and Stats
• Skool Community - Skool Community Scraper
• Telegram - Telegram Comments Scraper | Replies, Authors and Reactions
• Telegram - Telegram Posts Scraper | Views, Reactions and Comments
• Telegram - Telegram Scraper | Channel Posts, Views and Reactions
• TikTok Lookalike - TikTok Lookalike Scraper | Influencers, Emails and Engagement
• TikTok - TikTok Scraper
• Twitch - Twitch Contacts Scraper | Emails and Social Links
• Twitch - Twitch Scraper | Streamers, Emails and Clips
• Xigua - Xigua Scraper | Videos, Creators and Downloads
• YouTube Autocomplete - YouTube Autocomplete Scraper | Keyword Suggestions
• Facebook - Facebook Company Scraper | Emails, Phones, Ratings
• Instagram Engagement - Instagram Engagement Scraper
• OnlyFans - OnlyFans Profiles Scraper | Creator Prices, Stats & Links
• OnlyFans - OnlyFans Creator Scraper
• Reddit - Reddit Scraper | Comments, Posts and Users
• RedNote - RedNote Detail Scraper | Xiaohongshu Details, Images, Videos
• Skool Group - Skool Group Scraper
• Snapchat - Snapchat Ads Scraper | Ad Library, Impressions & Targeting
• Weibo - Weibo Scraper | Posts, Profiles, Followers and Engagement
• YouTube - YouTube Transcript Scraper

🏢 Business data

• LinkedIn Company Search - LinkedIn Company Search Scraper | Profiles & Firmographics
• Teachable Course - Teachable Course Scraper
• Website Tech Stack - Website Tech Stack Scraper
• Teachable - Courses, Prices & Instructors - Teachable Scraper - Courses, Prices & Instructors
• Trustpilot - Trustpilot Scraper | Reviews, Ratings and Company Contacts

✈️ Travel

• Tencent - Tencent Scraper | Maps Places, Phones and Ratings
• Viator - Viator Reviews Scraper | Tour Reviews and Ratings
• 2GIS - 2GIS Reviews Scraper | Ratings, Photos and Owner Replies
• Apple Maps - Apple Maps Scraper | Places, Phones and Emails
• Booking.com Hotel - Booking.com Hotel Scraper
• Despegar - Despegar Reviews Scraper | Hotel Reviews and Ratings
• Flight Price - Flight Price Scraper
• Kakao - Kakao Scraper | Map Places, Reviews and Phones
• Mafengwo - Mafengwo Scraper | Attractions, Ratings and Tickets
• OpenTable - OpenTable Reviews Scraper | Restaurant Reviews and Ratings
• TheFork - TheFork Scraper | Restaurants, Menus and Ratings
• Trip - Trip Reviews Scraper | Hotel Reviews and Ratings
• Zomato - Zomato Reviews Scraper | Restaurant Ratings and Replies
• Booking - Booking Scraper | Hotel Prices, Photos, Availability
• Google Maps - Google Maps Scraper

🎯 Lead generation

• Northdata - Northdata Company Scraper
• Dealroom - Dealroom Scraper | Companies and Investors
• UK Companies House - UK Companies House Enricher
• ZocDoc - ZocDoc Scraper | Doctors, Reviews and Availability
• PagesJaunes - PagesJaunes Scraper | French Business Emails and SIRET
• Similarweb - Similarweb Scraper | Website Traffic, Rankings and Competitors
• SIRET - SIRET Company Enricher
• BuiltWith - BuiltWith Scraper | Tech Stacks and Top Sites
• KVK - KVK Scraper | Dutch Companies and SBI Codes
• Dealroom Startup Data - Dealroom Startup Data Scraper
• Justdial - Justdial Companies Scraper | Business Leads, Phones and Emails
• PagesJaunes - PagesJaunes Business Scraper
• ThomasNet Suppliers - ThomasNet Suppliers Scraper
• ALEO - ALEO Scraper | Polish Companies and Financials
• BBB - BBB Scraper | Ratings, Reviews and Complaints
• BetaList - BetaList Scraper | Startups, Websites and Contacts
• Clutch - Clutch Scraper | Agencies, Reviews, Ratings, Services
• CNPJ Brazilian - CNPJ Brazilian Company Enricher
• Company Data - Company Data Scraper | Emails, Phones and Tech Stack
• CSLB - CSLB Scraper | Contractor Licenses, Bonds and Leads
• Delaware - Delaware Scraper | Corporations, LLCs and Registered Agents
• French Company Prospector - French Company Prospector
• G2 - G2 Reviews Scraper
• Paginasamarillas - Paginasamarillas Scraper | Business Leads, Emails and Phones
• Pappers - Pappers Scraper | French Companies, Directors & Financials
• SEC - SEC Scraper | EDGAR Filings and Company Data
• SoftwareAdvice - SoftwareAdvice Scraper | Reviews, Ratings and Pros & Cons
• Sunbiz - Sunbiz Scraper | Florida Companies and Officers
• TrustRadius - TrustRadius Reviews Scraper | Ratings, Pros and Cons
• USPTO - USPTO Scraper | Trademark Search and Status
• Clutch Agency - Clutch Agency Scraper
• Domain - Domain Enricher
• Google Ads Transparency - Google Ads Transparency Scraper
• SIRET French - SIRET French Company Enricher
• Sunbiz - Sunbiz Companies Scraper | New Florida Business Leads
• ZocDoc - ZocDoc Scraper

🔎 SEO

• SpyFu - SpyFu Scraper | SEO, PPC and Competitor Data
• Scribd - Scribd Scraper | Documents, Authors and Views
• Apple - Apple Reviews Scraper | App Store Reviews and Ratings
• Bing - Bing Enricher Scraper | Mobile Friendly Test and Indexing
• Google News - Google News Scraper
• Yandexsearch - Yandexsearch Scraper | Search Results and Rankings

🎬 Video

• Pexels - Pexels Scraper | Photos, Videos and Download Stats

📰 News

• ForexFactory - ForexFactory Scraper | Economic Calendar and Forecasts
• FT - FT Scraper | Financial Times Articles, Authors and Topics
• OpenAI - OpenAI Scraper | News, Blog Posts and Research
• Bloomberg - Bloomberg Scraper | News Articles and Full Text
• DEV - DEV Scraper | Articles, Full Text and Authors
• Reuters - Reuters Scraper | News Articles, Tickers and Journalists

🧰 More tools

• FanDuel - FanDuel Scraper | Odds, Spreads and Player Props
• PrizePicks - PrizePicks Scraper | Player Props, Lines and Projections
• Equibase - Equibase Scraper | Horse Racing Entries and Results
• Maersk - Maersk Scraper | Vessel Schedules and Port Calls
• Screener - Screener Scraper | Stock Fundamentals, NSE & BSE

Support

Need something this scraper doesn't do yet? We ship features fast.

• Feature requests go straight to our backlog
• Enterprise needs? We do custom integrations and high-volume plans
• Pricing questions? Check the Monetization tab on the actor page

Response time: usually under 24 hours.

Legal compliance

This Actor extracts publicly available data from Pikabu, as shown to visitors who are not logged in. It does not bypass any login, paywall or CAPTCHA and never uses a Pikabu account. Users are responsible for complying with Pikabu's terms of service and applicable data protection laws (GDPR, CCPA, and PIPL where relevant). Author names, avatars, subscriber counts and comment texts are personal data: handle them accordingly, keep only what you need, and honor removal requests. The data returned is informational; verify accuracy for regulated use cases.

Pikabu Scraper by SilentFlow: Pikabu posts with their best comments, views, votes and reactions, from any keyword, tag, community or author.