# Bluesky Mentions Scraper — Brand & Keyword Monitoring (`cooki/bluesky-mentions-scraper`) Actor

Track brand mentions and keywords on Bluesky. Returns posts with text, author, engagement counts (likes, reposts, replies) as clean JSON. No login required.

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

## Pricing

from $4.00 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## Bluesky Mentions Scraper — Brand & Keyword Monitoring

Track **brand mentions and keywords on Bluesky** and get clean, structured JSON back: post text, author, timestamps, engagement counts (likes, reposts, replies, quotes), hashtags, and outbound links. No Bluesky login, no API keys, no configuration. Enter keywords and run.

Bluesky has **27M+ monthly active users** and is one of the fastest-growing social platforms, yet most social-listening suites still don't cover it. This Actor closes that blind spot: monitor your brand, competitors, product names, or any topic in minutes.

### What data does the Bluesky scraper return?

Each mention is one JSON object:

```json
{
    "keyword": "anthropic",
    "url": "https://bsky.app/profile/user.bsky.social/post/3mpu2eryygr2e",
    "text": "A small Claude memory tool says a lot about how people actually use these models…",
    "createdAt": "2026-07-04T21:54:22.435Z",
    "author": { "handle": "user.bsky.social", "displayName": "User", "did": "did:plc:…" },
    "likeCount": 12,
    "repostCount": 3,
    "replyCount": 5,
    "quoteCount": 1,
    "isReply": false,
    "langs": ["en"],
    "links": ["https://example.com/article"],
    "tags": ["ai", "llm"],
    "embedType": "app.bsky.embed.external"
}
```

**Built-in extras** most Bluesky scrapers don't have:

- **Sentiment analysis**: every mention labeled positive / negative / neutral with a score.
- **Author enrichment**: attach each author's follower count, post count, and bio (`enrichAuthorProfiles`) so you can spot influential mentions.
- **Engagement filter**: `minEngagement` keeps only posts with real traction.

### Use cases

- **Brand monitoring / social listening**: track every mention of your company or product on Bluesky, on a schedule, and pipe results to Slack, email, or a webhook via Apify integrations.
- **Competitor research**: watch what people say about competitors and how much engagement it gets.
- **Influencer & community discovery**: find the authors driving conversations in your niche.
- **PR & crisis alerting**: schedule hourly runs with `sinceHours: 1` to catch spikes early.
- **Research & datasets for AI**: collect topic data as LLM-ready JSON for RAG pipelines, sentiment analysis, or trend research.

### How to monitor Bluesky mentions (quick start)

1. Enter one or more **keywords** (brand names, products, topics, quoted phrases).
2. Optionally set the **time window** (`sinceHours`, default: last 24 hours), **sort order**, **language**, or a **max mentions** cap.
3. Click **Start**. Results land in the dataset as JSON (export to CSV, Excel, or fetch via API).

Runs on a schedule, integrates with Make, n8n, Zapier, LangChain, and works as an **MCP tool** inside AI agents (Claude, Cursor, and others).

### Input example

```json
{
    "keywords": ["your brand", "competitor name"],
    "sinceHours": 24,
    "sort": "latest",
    "maxMentionsPerKeyword": 500,
    "includeReplies": true
}
```

Advanced queries work too: quoted phrases (`"acme corp"`), `from:handle.bsky.social`, and other operators Bluesky search supports.

### Pricing

Pay per event: a small fee per Actor start plus a fraction of a cent per mention collected. You only pay for the results you get. No subscription.

### Works inside AI agents (MCP)

This Actor is available as an **MCP tool** through the [Apify MCP server](https://mcp.apify.com). Connect it to Claude, Cursor, or any MCP client and your agent can monitor Bluesky mentions on demand.

### More Bluesky tools

- [Bluesky Profile Scraper](https://apify.com/cooki/bluesky-profile-scraper): profile details plus full follower/following lists for the authors you find here.
- [AI Brand Visibility Tracker](https://apify.com/cooki/ai-brand-visibility-tracker): check whether ChatGPT, Perplexity & Gemini mention your brand.

### FAQ

**Does it need my Bluesky account or password?** No. It reads public posts through Bluesky's open AT Protocol API.

**Is scraping Bluesky legal?** The Actor collects only public posts via Bluesky's public API. You are responsible for using the data in compliance with applicable laws and Bluesky's terms.

**How fresh are the results?** Posts typically appear in search within seconds of being published; `sort: "latest"` returns newest first.

**Can it run continuously?** Yes. Schedule it (e.g. hourly with `sinceHours: 1`) or call it as a Standby HTTP API for real-time queries.

# Actor input Schema

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

Search terms to monitor on Bluesky. Each keyword is searched separately; results are de-duplicated. Supports quoted phrases ("acme corp"), from:handle.bsky.social, and boolean operators the Bluesky search understands.

## `sort` (type: `string`):

'latest' returns newest posts first (best for monitoring). 'top' returns the most relevant/popular posts — note: Bluesky caps unauthenticated 'top' search at 100 results per keyword.

## `maxMentionsPerKeyword` (type: `integer`):

Stop after collecting this many posts for each keyword.

## `sinceHours` (type: `integer`):

Time window for the search, in hours. Set 0 to disable the time filter and search all of Bluesky.

## `language` (type: `string`):

Optional ISO-639-1 code (e.g. 'en', 'de', 'ja'). Leave empty for all languages.

## `includeReplies` (type: `boolean`):

When disabled, reply posts are filtered out so you only get top-level mentions.

## `minEngagement` (type: `integer`):

Only keep posts whose likes + reposts + replies + quotes reach this total. 0 keeps everything.

## `includeSentiment` (type: `boolean`):

Adds a basic positive/negative/neutral sentiment label and score to every mention.

## `enrichAuthorProfiles` (type: `boolean`):

Fetches each author's follower count, post count, and bio — spot influential mentions instantly.

## Actor input object example

```json
{
  "keywords": [
    "anthropic"
  ],
  "sort": "latest",
  "maxMentionsPerKeyword": 100,
  "sinceHours": 24,
  "includeReplies": true,
  "minEngagement": 0,
  "includeSentiment": true,
  "enrichAuthorProfiles": false
}
```

# 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": [
        "anthropic"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("cooki/bluesky-mentions-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 = { "keywords": ["anthropic"] }

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

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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": [
    "anthropic"
  ]
}' |
apify call cooki/bluesky-mentions-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=cooki/bluesky-mentions-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/GS9fPIIURLMIYhn86/builds/eAwSGbV5tpDzBeN9J/openapi.json