# Bluesky Following Scraper - Low-cost💲🔥🧑‍💻📱 (`delectable_incubator/bluesky-following-scraper-low-cost`) Actor

Scrape Bluesky following data 🌐🔍 by username or DID with a powerful social scraper.

Extract profile names, avatars, descriptions, account creation dates, labels, and more.

Ideal for social network analysis, audience insights, growth tracking, and structured data automation workflows 📊🚀

- **URL**: https://apify.com/delectable\_incubator/bluesky-following-scraper-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Social media, Lead generation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 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/actors/running/actors-in-store.md#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 Following Scraper" width="100%"> </p>

***

### Bluesky Following Scraper 🧑‍💻📱🔎

The Bluesky Following Scraper is a fast and scalable Apify Actor designed to extract structured following data directly from any Bluesky profile.

It helps you analyze audiences, discover influencers, perform market research, track communities, and build structured datasets from Bluesky profiles.

***

### 🎯 What This Scraper Does

Simply provide a Bluesky profile URL and the scraper handles everything automatically.

✅ Extracts Following from any Bluesky profile

✅ Supports custom limit per run

✅ Collects rich following profile data

✅ Handles large-scale extraction

✅ Ideal for audience research & analytics

✅ Ready for automation workflows

✅ Structured and clean output format

***

### 📊 Data Extracted

👥 following Information

| Field                     | Description                              |
| ------------------------- | ---------------------------------------- |
| 🔑 `followingDid`          | Decentralized Identifier of the following |
| 🏷️ `followingHandle`      | Bluesky username / handle                |
| 🖋️ `followingDisplayName` | Display name of the following             |
| 🖼️ `followingAvatar`      | Profile image URL                        |
| ⏳ `followingCreatedAt`     | Account creation date                    |
| 📝 `followingDescription`  | Bio / profile description                |
| 🔗 `profileLink`          | Direct Bluesky profile URL               |
| 🏷️ `followingLabels`      | Labels associated with the account       |
| ⚙️ `followingAssociated`   | Profile settings (e.g. chat preferences) |

***

### 🛠 How to Use

1️⃣ Configure Input

Provide the bulk profile URL and max items:

```
{
  "profile_url": ["https://bsky.app/profile/fightful.com"],
  "maxitems": 80
}
```

2️⃣ Run the Actor

• Fetches Following from the given profile

• Extracts structured following data

• Applies limit per request

• Returns clean dataset

3️⃣ Export the Dataset

Download your results in multiple formats:

✅ JSON

✅ CSV

✅ Excel

✅ XML

✅ HTML

***

### ⚙️ Input Configuration

#### 📥 Input Example

```
{
  "profile_url": ["https://bsky.app/profile/fightful.com"],
  "maxitems": 80
}
```

#### Input Fields

| Field         | Type   | Description                                  |
| ------------- | ------ | -------------------------------------------- |
| `profile_url` | array | Bulk Bluesky profile URL to scrape Following from |
| `maxitems`    | number | Maximum number of Following to retrieve      |

***

### 📤 Output Example

```
[
  {
    "did": "did:plc:u6uydz3x625hynuz6zuph2xp",
    "handle": "regeneratedarts.bsky.social",
    "displayName": "regeneratedarts AKA Joi",
    "avatar": "https://cdn.bsky.app/img/avatar/plain/did:plc:u6uydz3x625hynuz6zuph2xp/...jpg",
    "createdAt": "2023-07-27T23:07:25.712Z",
    "description": "Freelance Artist | personal account w/ art...",
    "indexedAt": "2025-03-15T14:04:06.342Z",
    "labels": [],
    "associated": {
      "chat": {
        "allowIncoming": "all"
      }
    },
    "link_to_profile": "https://bsky.app/profile/regeneratedarts.bsky.social"
  }
] "searchTimestamp": "2026-02-13T14:32:21.000Z"
```

***

### 📊 Output explanation

| Use Case                | Description                             |
| ----------------------- | --------------------------------------- |
| 👥 Audience Insights    | Understand Following of any profile     |
| 🔍 Market Research      | Identify communities & interests        |
| 🏁 Competitor Analysis  | Analyze competitor audiences            |
| 💡 Influencer Discovery | Find creators for collaboration         |
| 💬 Engagement Analysis  | Study user profiles & activity patterns |
| 📊 Data Analytics       | Build structured social datasets        |

***

### 🌍 Why Use This Scraper?

🚀 Extract Bluesky following data at scale

📊 Build structured social intelligence datasets

⚡ Fast and automated scraping

🔍 Rich profile-level 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:** $1.49 / 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

## `profil_urls` (type: `array`):

List of profile URLs to scrape following from

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

The maximum number of following to fetch for each profile URL

## Actor input object example

```json
{
  "profil_urls": [
    "https://bsky.app/profile/fightful.com"
  ],
  "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 = {
    "profil_urls": [
        "https://bsky.app/profile/fightful.com"
    ],
    "maxitems": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/bluesky-following-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 = {
    "profil_urls": ["https://bsky.app/profile/fightful.com"],
    "maxitems": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/bluesky-following-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 '{
  "profil_urls": [
    "https://bsky.app/profile/fightful.com"
  ],
  "maxitems": 50
}' |
apify call delectable_incubator/bluesky-following-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-following-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/W1qEzBnLGKrTTxoNk/builds/7gdcqJWch0jC45alr/openapi.json