# 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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use 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

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Bluesky Mentions Scraper — Brand & Keyword Monitoring",
        "description": "Track brand mentions and keywords on Bluesky. Returns posts with text, author, engagement counts (likes, reposts, replies) as clean JSON. No login required.",
        "version": "0.1",
        "x-build-id": "eAwSGbV5tpDzBeN9J"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/cooki~bluesky-mentions-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-cooki-bluesky-mentions-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/cooki~bluesky-mentions-scraper/runs": {
            "post": {
                "operationId": "runs-sync-cooki-bluesky-mentions-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/cooki~bluesky-mentions-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-cooki-bluesky-mentions-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "keywords"
                ],
                "properties": {
                    "keywords": {
                        "title": "Keywords or brand names",
                        "type": "array",
                        "description": "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.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "sort": {
                        "title": "Sort order",
                        "enum": [
                            "latest",
                            "top"
                        ],
                        "type": "string",
                        "description": "'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.",
                        "default": "latest"
                    },
                    "maxMentionsPerKeyword": {
                        "title": "Max mentions per keyword",
                        "minimum": 1,
                        "maximum": 10000,
                        "type": "integer",
                        "description": "Stop after collecting this many posts for each keyword.",
                        "default": 100
                    },
                    "sinceHours": {
                        "title": "Only posts from the last N hours",
                        "minimum": 0,
                        "maximum": 87600,
                        "type": "integer",
                        "description": "Time window for the search, in hours. Set 0 to disable the time filter and search all of Bluesky.",
                        "default": 24
                    },
                    "language": {
                        "title": "Language filter",
                        "type": "string",
                        "description": "Optional ISO-639-1 code (e.g. 'en', 'de', 'ja'). Leave empty for all languages."
                    },
                    "includeReplies": {
                        "title": "Include replies",
                        "type": "boolean",
                        "description": "When disabled, reply posts are filtered out so you only get top-level mentions.",
                        "default": true
                    },
                    "minEngagement": {
                        "title": "Minimum engagement",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Only keep posts whose likes + reposts + replies + quotes reach this total. 0 keeps everything.",
                        "default": 0
                    },
                    "includeSentiment": {
                        "title": "Sentiment analysis",
                        "type": "boolean",
                        "description": "Adds a basic positive/negative/neutral sentiment label and score to every mention.",
                        "default": true
                    },
                    "enrichAuthorProfiles": {
                        "title": "Enrich author profiles",
                        "type": "boolean",
                        "description": "Fetches each author's follower count, post count, and bio — spot influential mentions instantly.",
                        "default": false
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```