# Bluesky (`canadesk/bluesky`) Actor Collect or Search for Posts, Track Followers and Follows, or Find Accounts on Bluesky. It's fast and costs little! - **URL**: https://apify.com/canadesk/bluesky.md - **Developed by:** [Canadesk Support](https://apify.com/canadesk) (community) - **Categories:** Lead generation, SEO tools, Social media - **Stats:** 49 total users, 3 monthly users, 100.0% runs succeeded, 5 bookmarks - **User rating**: 1.00 out of 5 stars ## Pricing $5.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 ⚡ Lucene query syntax is recommended! Try the filters if you don't get the desired results. Example: from:washingtonpost.com lang:en since:2024-11-10 "airbnb" ### Features - **Get Posts** Returns posts for the specified account. The account must exist and be exact (e.g., washingtonpost.com from https://bsky.app/profile/washingtonpost.com). For date filters, since the feed is sorted from most recent to oldest, the "since" date filter will only work if a post matching the date is encountered before reaching the maximum number of posts. - **Search for Posts** Returns posts matching the query. To use **Lucene query syntax** instead, set the appropriate Input. This overrides all filter values except for Posts type and Sorting. Refer to https://bsky.social/about/blog/05-31-2024-search. For date filters, without lucene syntax, timezone is UTC and the time is always set to 23:59:59. - **Get Followers** Returns accounts names following the specified account. - **Get Follows** Returns account names the specified account follows. - **Get Account Profile** Returns details for the exact account name. - **Search for Accounts** Returns account names matching the query. ### Limitations ⚠ Bluesky is under active development, and the Search process does not alway consider filters. For example: * Searching for "plane" with the Input "Language" set to "Spanish" may still return posts written in English. * But searching for "avion" with the same filter (or **lang:es "avion"** with lucene query) will return posts written in Spanish, as expected. Searching for Posts does not support pagination. You can fetch a maximum of 100 posts. ### Support Always use a proxy! Open a new issue for bugs, please share your Run URL and Input 🎈 # Actor input Schema ## `process` (type: `string`): No description ## `keyword` (type: `string`): Account name or Keywords to search for. ## `last_id` (type: `string`): Will only extract posts/statuses after this ID. ## `lucene` (type: `string`): Only applies to Search for Posts. Read the Information tab! ## `postsType` (type: `string`): Only for Get Posts. ## `sort` (type: `string`): Only applies to Search for Posts. ## `lang` (type: `string`): Only applies to Search for Posts. ## `since` (type: `string`): Format: YYYY-MM-DD ## `until` (type: `string`): Format: YYYY-MM-DD ## `savings` (type: `string`): Saves on usage costs by consolidating results into a single row. ## `maximum` (type: `integer`): No description ## `pause` (type: `integer`): Wait time between pages extraction. ## `proxy` (type: `object`): Select proxies to be used by your crawler. ## Actor input object example ```json { "process": "gp", "keyword": "washingtonpost.com", "lucene": "no", "postsType": "posts_with_replies", "sort": "latest", "lang": "all", "savings": "2", "maximum": 50, "pause": 1000, "proxy": { "useApifyProxy": true } } ```` # 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 = { "keyword": "washingtonpost.com", "last_id": "", "since": "", "until": "", "proxy": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("canadesk/bluesky").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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "keyword": "washingtonpost.com", "last_id": "", "since": "", "until": "", "proxy": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("canadesk/bluesky").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 '{ "keyword": "washingtonpost.com", "last_id": "", "since": "", "until": "", "proxy": { "useApifyProxy": true } }' | apify call canadesk/bluesky --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=canadesk/bluesky", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bluesky", "description": "Collect or Search for Posts, Track Followers and Follows, or Find Accounts on Bluesky. It's fast and costs little!", "version": "1.4", "x-build-id": "LaWPVK8zlJnnP85ZY" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/canadesk~bluesky/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-canadesk-bluesky", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/canadesk~bluesky/runs": { "post": { "operationId": "runs-sync-canadesk-bluesky", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/canadesk~bluesky/run-sync": { "post": { "operationId": "run-sync-canadesk-bluesky", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keyword" ], "properties": { "process": { "title": "Process", "enum": [ "gp", "sp", "gf", "gff", "ga", "sa" ], "type": "string", "description": "", "default": "gp" }, "keyword": { "title": "Keyword", "type": "string", "description": "Account name or Keywords to search for." }, "last_id": { "title": "Cursor", "type": "string", "description": "Will only extract posts/statuses after this ID." }, "lucene": { "title": "Setting - Lucene query syntax", "enum": [ "yes", "no" ], "type": "string", "description": "Only applies to Search for Posts. Read the Information tab!", "default": "no" }, "postsType": { "title": "Filter - Posts type", "enum": [ "posts_with_replies", "posts_no_replies", "posts_with_media", "posts_and_author_threads" ], "type": "string", "description": "Only for Get Posts.", "default": "posts_with_replies" }, "sort": { "title": "Filter - Sorting", "enum": [ "latest", "top" ], "type": "string", "description": "Only applies to Search for Posts.", "default": "latest" }, "lang": { "title": "Filter - Language", "enum": [ "all", "en", "es", "fr", "de", "it", "pt", "ru", "zh", "ja", "ko", "ar", "bg", "cs", "da", "el", "fi", "he", "hi", "hr", "hu", "id", "lt", "lv", "ms", "nl", "no", "pl", "ro", "sk", "sl", "sv", "th", "tr", "uk", "vi", "af", "bn", "ca", "fa", "ga", "gl", "gu", "hy", "is", "ka", "km", "kn", "ku", "ml", "mr", "my", "ne", "pa", "si", "sq", "sr", "sw", "ta", "te", "tl", "ur", "uz", "zu" ], "type": "string", "description": "Only applies to Search for Posts.", "default": "all" }, "since": { "title": "Filter - Since date", "type": "string", "description": "Format: YYYY-MM-DD" }, "until": { "title": "Filter - Until date", "type": "string", "description": "Format: YYYY-MM-DD" }, "savings": { "title": "Response format", "enum": [ "1", "2" ], "type": "string", "description": "Saves on usage costs by consolidating results into a single row.", "default": "2" }, "maximum": { "title": "Maximum results", "minimum": 10, "maximum": 500, "type": "integer", "description": "", "default": 50 }, "pause": { "title": "Delay", "minimum": 100, "maximum": 30000, "type": "integer", "description": "Wait time between pages extraction.", "default": 1000 }, "proxy": { "title": "Proxy configuration", "type": "object", "description": "Select proxies to be used by your crawler." } } }, "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 } } } } } } } } } } ```