# Парсер Пикабу по тегу: посты, рейтинг, комментарии

**Use case:** 

Парсер Пикабу по тегу собирает свежие посты из ленты выбранного тега. Each row returns the post title, author, rating, comment count, topic and publish time, ready for CSV or Excel. Use it to see what is being discussed in programming right now, rank posts by engagement, or feed a weekly content report.

## Input

```json
{
  "startUrls": [],
  "mode": "tag",
  "tag": "Программирование",
  "sortBy": "default",
  "feed": "hot",
  "maxItems": 5,
  "maxPages": 0,
  "publishedWithinDays": 0,
  "fetchPostDetail": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "title": {
    "label": "Title",
    "format": "string"
  },
  "authorName": {
    "label": "Author",
    "format": "string"
  },
  "communityName": {
    "label": "Community",
    "format": "string"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "commentsCount": {
    "label": "Comments",
    "format": "number"
  },
  "publishedAt": {
    "label": "Published",
    "format": "string"
  },
  "postUrl": {
    "label": "Link",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Pikabu Scraper Пикабу: Posts, Tags, Communities, Users & Search Actor is ready to run with the inputs already set for "Парсер Пикабу по тегу: посты, рейтинг, комментарии". [Sign up or log in](https://console.apify.com/create-task-from-example/4v9xcHfZrLLWHH4VJ) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Парсер Пикабу по тегу: посты, рейтинг, комментарии" task

The Pikabu Scraper Пикабу: Posts, Tags, Communities, Users & Search Actor will start running based on the input automatically. You can also change all the input fields, like pikabu links, source, and more, to match your specific use case.

### 3. Receive the "Парсер Пикабу по тегу: посты, рейтинг, комментарии" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as title, author, community, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Парсер Пикабу по тегу: посты, рейтинг, комментарии" task via API](https://apify.com/getascraper/pikabu-search-scraper.md).

## About this Actor

This example demonstrates how to use [Pikabu Scraper Пикабу: Posts, Tags, Communities, Users & Search](https://apify.com/getascraper/pikabu-search-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/getascraper/pikabu-search-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/getascraper/pikabu-search-scraper.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).