# Bluesky Scraper . Followers, Follows, Posts (`seemuapps/bluesky-scraper`) Actor

Scrape any public Bluesky profile — followers, follows, posts, or profile metadata. No login.

- **URL**: https://apify.com/seemuapps/bluesky-scraper.md
- **Developed by:** [Andrew](https://apify.com/seemuapps) (community)
- **Categories:** Social media, Lead generation, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.00005 / actor start

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## Bluesky Scraper - Followers, Follows, Posts

Scrape any public Bluesky profile - followers, follows, posts, or profile metadata. Powered by the open atproto public API, so there's no login, no API key, no setup.

### What you get

Four modes in one actor - one record per row, ready to export.

**Followers / Follows mode** - one row per user:

- `did`, `handle`, `displayName`, `description`
- `avatar` URL, `createdAt`, `profileUrl`
- `relation` flag (`follower` or `follow`)
- `scrapedFromHandle` - the account you queried

**Posts mode** - one row per post from the user's author feed:

- `postUri`, `postUrl`, `cid`
- `text`, `createdAt`, `indexedAt`, `langs`
- Engagement: `likeCount`, `repostCount`, `replyCount`, `quoteCount`
- `isReply` / `replyToUri`, `isRepost` / `repostedByHandle`
- `embedType` (image, video, external link, quoted post)
- Author fields: `authorDid`, `authorHandle`, `authorDisplayName`, `authorAvatar`

**Profile mode** - single row with full profile metadata:

- `displayName`, `description`, `avatar`, `banner`
- `followersCount`, `followsCount`, `postsCount`
- `createdAt`, `indexedAt`, `profileUrl`

**Pagination**

- `NEXT_PAGE_ID` cursor saved to the Key-value store so large lists can be chained across runs

### Use cases

- **Audience research** - pull the full follower list of any creator, brand, or competitor
- **Lead generation** - find people in a niche by following the followers of a topical account
- **Content analysis** - track a Bluesky account's posts, engagement, and posting cadence
- **Competitor monitoring** - keep tabs on what an account publishes and how it performs
- **Network mapping** - combine `follows` and `followers` to reconstruct community graphs
- **LLM / RAG ingestion** - feed clean post text and author metadata into your AI pipeline

### How to use

1. Enter the **Handle or DID** - accepts `bsky.app`, `jay.bsky.team`, a profile URL like `https://bsky.app/profile/bsky.app`, or a DID. A bare username like `alice` is auto-completed to `alice.bsky.social`.
2. Choose a **Mode** - Followers / Follows / Posts / Profile only
3. Set **Max Items** - default 500 per run, or 0 for unlimited (stops just before the actor timeout)
4. Run the actor - results appear in the **Dataset** tab
5. To fetch the next page, copy `NEXT_PAGE_ID` from the **Key-value store** tab and paste it into **Page ID** on the next run

### Output format

**Followers / Follows row:**

```json
{
  "kind": "user",
  "relation": "follower",
  "scrapedFromHandle": "bsky.app",
  "did": "did:plc:abc123",
  "handle": "alice.bsky.social",
  "displayName": "Alice",
  "description": "art & code",
  "avatar": "https://cdn.bsky.app/...",
  "createdAt": "2024-05-01T12:34:56Z",
  "profileUrl": "https://bsky.app/profile/alice.bsky.social"
}
```

**Post row:**

```json
{
  "kind": "post",
  "scrapedFromHandle": "bsky.app",
  "postUri": "at://did:plc:.../app.bsky.feed.post/3mlvllqtnmk2g",
  "postUrl": "https://bsky.app/profile/bsky.app/post/3mlvllqtnmk2g",
  "cid": "bafyreidkk...",
  "text": "Welcome to Bluesky!",
  "createdAt": "2026-05-15T14:54:22Z",
  "indexedAt": "2026-05-15T14:54:23Z",
  "langs": ["en"],
  "isReply": false,
  "replyToUri": null,
  "isRepost": false,
  "repostedByDid": null,
  "repostedByHandle": null,
  "embedType": "app.bsky.embed.record",
  "replyCount": 12,
  "repostCount": 5,
  "likeCount": 220,
  "quoteCount": 3,
  "authorDid": "did:plc:...",
  "authorHandle": "bsky.app",
  "authorDisplayName": "Bluesky",
  "authorAvatar": "https://cdn.bsky.app/..."
}
```

### Pagination

For large accounts (millions of followers), use the pagination cursor to fetch more across multiple runs:

1. Run the actor - when it finishes, `NEXT_PAGE_ID` is saved in the **Key-value store** tab
2. Copy the `NEXT_PAGE_ID` value
3. Start a new run with the same handle and mode and paste it into the **Page ID** field
4. Repeat until `NEXT_PAGE_ID` is `null` (list fully exhausted)

# Actor input Schema

## `handle` (type: `string`):

Bluesky handle (e.g. 'bsky.app' or 'jay.bsky.team'), profile URL (https://bsky.app/profile/handle), or DID. A bare username like 'alice' is treated as 'alice.bsky.social'.

## `mode` (type: `string`):

What to fetch: followers list, follows list, the user's posts, or just the profile metadata.

## `maxItems` (type: `integer`):

Maximum records to return. Set 0 for unlimited (stops ~60s before actor timeout). Ignored in 'Profile only' mode.

## `pageId` (type: `string`):

Optional. Paste NEXT\_PAGE\_ID from the previous run's Key-value store to resume.

## Actor input object example

```json
{
  "handle": "bsky.app",
  "mode": "followers",
  "maxItems": 500
}
```

# Actor output Schema

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

Each row has a 'kind' discriminator: 'user' (followers/follows), 'post' (author feed), or 'profile'. User rows include did, handle, displayName, description, avatar. Post rows include postUri, postUrl, text, createdAt, langs, like/repost/reply/quote counts, isReply, isRepost, embed type, and author fields. Profile rows include followersCount, followsCount, postsCount, banner, createdAt.

## `nextPageId` (type: `string`):

NEXT\_PAGE\_ID record in the default key-value store. Paste into Page ID on the next run to resume; null when the list is exhausted.

# 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 = {
    "handle": "bsky.app"
};

// Run the Actor and wait for it to finish
const run = await client.actor("seemuapps/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 = { "handle": "bsky.app" }

# Run the Actor and wait for it to finish
run = client.actor("seemuapps/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 '{
  "handle": "bsky.app"
}' |
apify call seemuapps/bluesky-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,seemuapps/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/QAHQ5BqLV2rjKr46K/builds/RAUDQP3GHKLiijHfs/openapi.json