# Bluesky Brand Mention Monitor โ€” Social Listening (`angaba92/bluesky-brand-monitor`) Actor Monitor Bluesky for brand/keyword mentions with sentiment, questions, complaints, engagement scoring, hashtags and links. Built for actionable social listening. - **URL**: https://apify.com/angaba92/bluesky-brand-monitor.md - **Developed by:** [Andres Garcia-Baquero Leon](https://apify.com/angaba92) (community) - **Categories:** Social media, Automation, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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/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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Brand Mention Monitor โ€” Social Listening Track what people say about your **brand, product, or any keyword** on Bluesky โ€” and instantly see which mentions actually need your attention. Unlike a generic Bluesky scraper that dumps every post, this Actor is built for **reputation and support workflows**. Every mention is enriched so you can triage in seconds: - ๐ŸŸข๐Ÿ”ด **Sentiment** โ€” positive / negative / neutral (heuristic) - โ“ **Question detection** โ€” someone asking about you โ†’ answer it - โš ๏ธ **Complaint detection** โ€” bugs, outages, billing, frustration โ†’ act on it - ๐Ÿ”ฅ **Priority flag** โ€” questions & complaints surfaced as `high` - ๐Ÿ“ˆ **Engagement score** โ€” likes + reposts + replies + quotes - ๐Ÿท๏ธ **Hashtags & links** extracted from each post - ๐Ÿงน **Deduplication** across keywords ### Input ```json { "keywords": ["apify", "my-brand"], "sort": "latest", "minEngagement": 0, "onlyQuestionsAndComplaints": false, "maxResultsPerKeyword": 100 } ```` | Field | Type | Default | Description | |---|---|---:|---| | `keywords` | array | `["apify"]` | Brands / keywords to monitor (each searched separately) | | `sort` | string | `latest` | `latest` or `top` | | `minEngagement` | integer | `0` | Only return mentions with at least this total engagement | | `onlyQuestionsAndComplaints` | boolean | `false` | Only return high-priority mentions (questions + complaints) | | `maxResultsPerKeyword` | integer | `100` | Max mentions per keyword (1-1000) | ### Output per mention ```json { "keyword": "apify", "text": "Is Apify down? Getting errors on every run", "sentiment": "negative", "isQuestion": true, "isComplaint": true, "priority": "high", "engagement": 14, "likeCount": 9, "repostCount": 2, "replyCount": 3, "quoteCount": 0, "hashtags": [], "links": [], "authorHandle": "user.bsky.social", "createdAt": "2026-07-23T10:00:00.000Z", "url": "https://bsky.app/profile/user.bsky.social/post/abc" } ``` ### Use cases - **Brand & reputation monitoring** โ€” never miss a complaint or viral mention - **Customer support** โ€” pipe `priority: high` mentions to your support queue - **Competitor tracking** โ€” monitor rivals' names and see sentiment shift - **Campaign measurement** โ€” track hashtag/keyword engagement over time - **Lead gen** โ€” catch people asking "which tool does X?" in real time ### Tip: run it on a schedule Set this Actor on an Apify **schedule** (e.g. hourly) with `onlyQuestionsAndComplaints: true` to get a steady, low-noise feed of only the mentions worth replying to. ### Pricing Pay Per Event: - `$0.004` per enriched mention returned You only pay for mentions actually returned (after your filters). ### Notes - Source: public Bluesky AT Protocol endpoints (`api.bsky.app`). No login required. - Sentiment / question / complaint detection is heuristic (keyword-based), tuned for English; treat it as a triage signal, not ground truth. # Actor input Schema ## `keywords` (type: `array`): Brand names or keywords to monitor on Bluesky (each is searched separately). E.g. apify, my-brand. ## `sort` (type: `string`): Sort order for search results. ## `minEngagement` (type: `integer`): Only return mentions with at least this total engagement (likes + reposts + replies + quotes). ## `onlyQuestionsAndComplaints` (type: `boolean`): Only return mentions detected as questions or complaints (highest-priority for support / reputation). ## `maxResultsPerKeyword` (type: `integer`): Maximum mentions to return per keyword (1-1000). ## Actor input object example ```json { "keywords": [ "apify" ], "sort": "latest", "minEngagement": 0, "onlyQuestionsAndComplaints": false, "maxResultsPerKeyword": 100 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "keywords": [ "apify" ], "sort": "latest", "minEngagement": 0, "onlyQuestionsAndComplaints": false, "maxResultsPerKeyword": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("angaba92/bluesky-brand-monitor").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "keywords": ["apify"], "sort": "latest", "minEngagement": 0, "onlyQuestionsAndComplaints": False, "maxResultsPerKeyword": 100, } # Run the Actor and wait for it to finish run = client.actor("angaba92/bluesky-brand-monitor").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keywords": [ "apify" ], "sort": "latest", "minEngagement": 0, "onlyQuestionsAndComplaints": false, "maxResultsPerKeyword": 100 }' | apify call angaba92/bluesky-brand-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=angaba92/bluesky-brand-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bluesky Brand Mention Monitor โ€” Social Listening", "description": "Monitor Bluesky for brand/keyword mentions with sentiment, questions, complaints, engagement scoring, hashtags and links. Built for actionable social listening.", "version": "0.1", "x-build-id": "tUmVW8MeXcF8XMnDU" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/angaba92~bluesky-brand-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-angaba92-bluesky-brand-monitor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/angaba92~bluesky-brand-monitor/runs": { "post": { "operationId": "runs-sync-angaba92-bluesky-brand-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/angaba92~bluesky-brand-monitor/run-sync": { "post": { "operationId": "run-sync-angaba92-bluesky-brand-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "keywords": { "title": "Keywords / brands", "type": "array", "description": "Brand names or keywords to monitor on Bluesky (each is searched separately). E.g. apify, my-brand.", "items": { "type": "string" } }, "sort": { "title": "Sort", "enum": [ "latest", "top" ], "type": "string", "description": "Sort order for search results.", "default": "latest" }, "minEngagement": { "title": "Minimum engagement", "minimum": 0, "type": "integer", "description": "Only return mentions with at least this total engagement (likes + reposts + replies + quotes).", "default": 0 }, "onlyQuestionsAndComplaints": { "title": "Only questions & complaints", "type": "boolean", "description": "Only return mentions detected as questions or complaints (highest-priority for support / reputation).", "default": false }, "maxResultsPerKeyword": { "title": "Max results per keyword", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum mentions to return per keyword (1-1000).", "default": 100 } } }, "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 } } } } } } } } } } ```