# Bluesky Scraper & API (`johandev_04/bluesky-scraper`) Actor

Extract posts, likes, and metadata from Bluesky profiles using the public AT Protocol API. No login, no cookies, fast and reliable.

- **URL**: https://apify.com/johandev_04/bluesky-scraper.md
- **Developed by:** [Johan Ortiz](https://apify.com/johandev_04) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $3.50 / 1,000 post extracteds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## 🦋 Bluesky Scraper & API: Extracción de Datos en la Red Descentralizada

### 📌 Descripción General

Bluesky es la red social descentralizada construida sobre el protocolo AT. Su arquitectura abierta permite extraer datos públicos de manera ética y eficiente. El **Bluesky Scraper** es una herramienta diseñada para analizar tendencias, extraer publicaciones y obtener métricas de engagement sin necesidad de iniciar sesión.

Ideal para investigadores, periodistas y equipos de social listening que necesitan monitorear la conversación en esta nueva plataforma.

### 🚀 Capacidades Técnicas

- **Conexión al Protocolo AT:** Usa la API pública de Bluesky para obtener datos sin restricciones de scraping.
- **Extracción de Hilos:** Captura no solo posts individuales, sino hilos completos.
- **Métricas de Engagement:** Extrae likes, reposts y respuestas.
- **Filtros de Fecha:** Extrae solo publicaciones recientes.

### 📊 Diccionario de Datos (Dataset Schema)

| Propiedad | Tipo | Descripción |
| :--- | :--- | :--- |
| `postId` | String | ID único del post. |
| `authorHandle` | String | Nombre de usuario (ej. `@user.bsky.social`). |
| `text` | String | Texto completo de la publicación. |
| `likesCount` | Integer | Cantidad de "me gusta". |
| `repostsCount` | Integer | Cantidad de reposts. |
| `createdAt` | String | Fecha de publicación (ISO 8601). |
| `url` | String | URL del post. |

#### 📤 Ejemplo de Salida (JSON)

````json
[
  {
    "postId": "3k2j4h5g6f",
    "authorHandle": "@johandev.bsky.social",
    "text": "Exploring the decentralized web!",
    "likesCount": 45,
    "repostsCount": 12,
    "createdAt": "2026-10-23T10:00:00Z",
    "url": "https://bsky.app/profile/johandev.bsky.social/post/3k2j4h5g6f"
  }
]



# Actor input Schema

## `handles` (type: `array`):

List of Bluesky handles to extract posts from (e.g., 'bsky.app', 'jay.bsky.team').
## `maxItems` (type: `integer`):

Maximum number of posts to extract.

## Actor input object example

```json
{
  "handles": [
    "bsky.app",
    "jay.bsky.team"
  ],
  "maxItems": 50
}
````

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "handles": [
        "bsky.app",
        "jay.bsky.team"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("johandev_04/bluesky-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "handles": [
        "bsky.app",
        "jay.bsky.team",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("johandev_04/bluesky-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "handles": [
    "bsky.app",
    "jay.bsky.team"
  ]
}' |
apify call johandev_04/bluesky-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,johandev_04/bluesky-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/95QpDMQ046jdM9t3W/builds/gdJqTlcigKAloIosy/openapi.json