# Bluesky Posts Scraper - Low-cost💲🔥🌐🦋 (`delectable_incubator/bluesky-posts-scraper-low-cost`) Actor

Scrape Bluesky posts data 🌐🔍 by keyword with a powerful social scraper.

Extract post content, author names, profile URLs, avatars, and engagement metrics.

Ideal for social media monitoring, trend analysis, audience insights, and structured data automation for analytics and workflows 📊🚀

- **URL**: https://apify.com/delectable\_incubator/bluesky-posts-scraper-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Social media, Lead generation, News
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $0.00005 / actor start

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

<p align="center"> <img src="https://i.ibb.co/jkNS73wX/readme.png" alt="Bluesky Posts Scraper" width="100%"> </p>

***

### Bluesky Posts Scraper 🔍📱🧑‍💻

The Bluesky Posts Scraper is a fast and scalable Apify Actor designed to extract structured post data directly from Bluesky based on keywords.

It helps you analyze conversations, track trends, monitor engagement, discover viral content, and build structured datasets from Bluesky posts.

***

### 🎯 What This Scraper Does

Simply provide a keyword and the scraper handles everything automatically.

✅ Extracts posts based on keyword search

✅ Supports custom limit per run

✅ Collects rich post-level engagement data

✅ Captures media (images if available)

✅ Handles large-scale extraction

✅ Ideal for trend tracking & content research

✅ Ready for automation workflows

✅ Structured and clean output format

***

### 📊 Data Extracted

💬 Post Information

| Field                  | Description                         |
| ---------------------- | ----------------------------------- |
| 🔗 `uri`               | Unique post identifier              |
| 📂 `cid`               | Content identifier                  |
| 🧑‍💻 `authorDid`      | Author decentralized identifier     |
| 🏷️ `authorHandle`     | Author username / handle            |
| 📛 `authorDisplayName` | Author display name                 |
| 🖼️ `authorAvatar`     | Author profile image                |
| ⏰ `postCreatedTime`    | Post creation timestamp             |
| ✍️ `postText`          | Content of the post                 |
| 🌍 `postLanguage`      | Languages used in the post          |
| 🖼️ `postImages`       | Attached images (thumb + full size) |
| 💬 `replyCount`        | Number of replies                   |
| 🔄 `repostCount`       | Number of reposts                   |
| 👍 `likeCount`         | Number of likes                     |
| 🗣️ `quoteCount`       | Number of quotes                    |
| 🗓️ `indexedAt`        | Indexing time                       |
| 🏷️ `postLabels`       | Labels associated with the post     |

***

### 🛠 How to Use

1️⃣ Configure Input

Provide keyword and max items:

```
{
  "keyword": ["john"],
  "maxitems": 60
}
```

2️⃣ Run the Actor

• Searches Bluesky posts by keyword

• Extracts structured post data

• Captures engagement metrics

• Collects media when available

• Returns clean dataset

3️⃣ Export the Dataset

Download your results in multiple formats:

✅ JSON

✅ CSV

✅ Excel

✅ XML

✅ HTML

***

### ⚙️ Input Configuration

#### 📥 Input Example

```
{
  "keyword": ["AI"],
  "maxitems": 60
}
```

#### Input Fields

| Field      | Type   | Description                         |
| ---------- | ------ | ----------------------------------- |
| `keyword`  | array | Bulk Keyword used to search posts        |
| `maxitems` | number | Maximum number of posts to retrieve |

***

### 📤 Output Example

```
[
  {
    "uri": "at://did:plc:cnpe7qvcyjrhm6w7w7e4atur/app.bsky.feed.post/3lklpliaiwc25",
    "cid": "bafyreidqna6oqol642ws5bt4dbo7kkjy3utdc52qmkjwiey4fjiibsztc4",
    "author": {
      "did": "did:plc:cnpe7qvcyjrhm6w7w7e4atur",
      "handle": "kevinmkruse.bsky.social",
      "displayName": "Kevin M. Kruse",
      "avatar": "https://cdn.bsky.app/img/avatar/plain/...",
      "createdAt": "2023-04-29T20:34:46.513Z"
    },
    "record": {
      "createdAt": "2025-03-17T17:47:47.832Z",
      "text": "CIA Director John Ratcliffe is the Archer",
      "langs": ["en"]
    },
    "embed": {
      "$type": "app.bsky.embed.images#view",
      "images": []
    },
    "replyCount": 5,
    "repostCount": 5,
    "likeCount": 112,
    "quoteCount": 0,
    "indexedAt": "2025-03-17T17:47:49.454Z",
    "labels": []
  }
]
```

***

### 📊 Output explanation

| Use Case               | Description                        |
| ---------------------- | ---------------------------------- |
| 🔍 Trend Tracking      | Discover viral topics on Bluesky   |
| 💬 Content Research    | Analyze post content by keyword    |
| 📈 Engagement Analysis | Track likes, reposts, replies      |
| 🧠 Audience Insights   | Understand discussions & interests |
| 🏁 Competitor Tracking | Monitor influencers & communities  |
| 📊 Data Analytics      | Build structured social datasets   |

***

### 🌍 Why Use This Scraper?

🚀 Extract Bluesky post data at scale

📊 Build structured social intelligence datasets

⚡ Fast and automated scraping

🔍 Rich engagement & content metadata

📈 Perfect for research, analytics & growth strategies

***

### ⚠️ Disclaimer

This tool is an independent solution and is not affiliated with or endorsed by Bluesky.

***

### 💸 Pricing

This scraper runs on a **pay per events subscription model**.

You only pay for **successful runs**.

💳 **Price:** $2.89 / 1000 results

***

### Related Actors

If you're interested in other Bluesky scraping solutions, explore more tools:

(Coming soon)

***

### 📬 Support

⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool

***

### 🌍 PrimeScrape

Built for scalable web data extraction & automation

Contact for custom scraping solutions or enterprise requests via Apify or by email.

# Actor input Schema

## `keywords` (type: `array`):

List of keywords to search for on BlueSky (Posts)

## `maxitems` (type: `integer`):

Maximum number of results to fetch for each keyword

## Actor input object example

```json
{
  "keywords": [
    "john"
  ],
  "maxitems": 50
}
```

# Actor output Schema

## `overview` (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 = {
    "keywords": [
        "john"
    ],
    "maxitems": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/bluesky-posts-scraper-low-cost").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 = {
    "keywords": ["john"],
    "maxitems": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/bluesky-posts-scraper-low-cost").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 '{
  "keywords": [
    "john"
  ],
  "maxitems": 50
}' |
apify call delectable_incubator/bluesky-posts-scraper-low-cost --silent --output-dataset

```

## MCP server setup

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

```

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/OqvjgKcPbkoUpwfz4/builds/lhmyv8aQSh0OxQJdj/openapi.json