# Bluesky Job Poster Scraper (`bornoo/bluesky-job-poster-scraper`) Actor Find job postings on Bluesky by searching hiring-related keywords. Extract public posts, company names, author profiles, job descriptions, profile URLs, post links, engagement metrics, and timestamps. Ideal for recruiters, job seekers, lead generation, and market research. - **URL**: https://apify.com/bornoo/bluesky-job-poster-scraper.md - **Developed by:** [Biddut Hossain](https://apify.com/bornoo) (community) - **Categories:** AI, Agents, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / 1,000 results 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 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. 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 Job Poster Finder Find hiring and job posting content on Bluesky using customizable search keywords. This Apify Actor searches public Bluesky posts and extracts job-related information, making it ideal for recruiters, job boards, lead generation, and market research. ### Features - Search hiring-related posts by keyword - Extract company or author name - Extract Bluesky handle - Extract author profile URL - Extract post URL - Extract job post text - Extract created date and time - Extract like count - Extract repost count - Extract reply count - Extract external links - Language filtering - Export results to Apify Dataset ### Use Cases - Job lead generation - Recruitment - Talent sourcing - Job board aggregation - Hiring trend analysis - Competitor hiring research - Market research - HR automation ### Input See `.actor/input_schema.json`. #### Example Input ```json { "searchTerms": [ "we're hiring", "we are hiring", "now hiring", "join our team", "remote job", "software engineer" ], "maxPosts": 100, "onlyWithLinks": false, "language": "en", "sortBy": "recent" } ```` ### Input Fields | Field | Description | |--------|-------------| | searchTerms | Keywords or phrases used to search for job posts | | maxPosts | Maximum number of posts to collect | | onlyWithLinks | Return only posts containing external links | | language | Language code (e.g. en) | | sortBy | Sort by recent, likes, or reposts | ### Output Each dataset item contains: ```json { "matchedSearchTerm": "we're hiring", "company": "Acme Inc", "authorName": "Acme Careers", "handle": "acme.bsky.social", "authorProfileUrl": "https://bsky.app/profile/acme.bsky.social", "postText": "We're hiring a Python Developer. Apply today!", "postUrl": "https://bsky.app/profile/acme.bsky.social/post/abc123", "createdAt": "2026-07-09T10:15:00Z", "likeCount": 48, "repostCount": 9, "replyCount": 3, "links": [ "https://acme.com/careers" ], "language": "en" } ``` ### Dataset Fields - matchedSearchTerm - company - authorName - handle - authorProfileUrl - postText - postUrl - createdAt - likeCount - repostCount - replyCount - links - language ### Local Development Install dependencies: ```bash pip install -r requirements.txt ``` Run the Actor: ```bash apify run ``` ### Deploy to Apify ```bash apify login apify push ``` ### Notes - Only publicly available Bluesky posts and profile information are collected. - No Bluesky account or login is required. - Results depend on Bluesky search availability. - External links are extracted when available in posts. - Please comply with Bluesky's Terms of Service when using the collected data. ### License MIT # Actor input Schema ## `username` (type: `string`): আপনার Bluesky হ্যান্ডেল, যেমন: yourname.bsky.social ## `appPassword` (type: `string`): আপনার Bluesky অ্যাকাউন্টের সাধারণ পাসওয়ার্ড নয় — Settings > App Passwords থেকে তৈরি করা App Password দিন। এটি সেন্সিটিভ ফিল্ড হিসেবে সেভ হবে। ## `searchTerms` (type: `array`): যে কীওয়ার্ডগুলো দিয়ে পোস্ট খুঁজতে চান (যেমন: 'we're hiring', 'now hiring') ## `maxPostsPerSearch` (type: `integer`): প্রতিটি সার্চ টার্মের জন্য সর্বোচ্চ কতগুলো পোস্ট সংগ্রহ করবে ## Actor input object example ```json { "searchTerms": [ "we're hiring", "we are hiring", "now hiring", "join our team", "hiring", "job opening", "open position", "career opportunity", "remote job", "software engineer" ], "maxPostsPerSearch": 25 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("bornoo/bluesky-job-poster-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("bornoo/bluesky-job-poster-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 '{}' | apify call bornoo/bluesky-job-poster-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=bornoo/bluesky-job-poster-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bluesky Job Poster Scraper", "description": "Find job postings on Bluesky by searching hiring-related keywords. Extract public posts, company names, author profiles, job descriptions, profile URLs, post links, engagement metrics, and timestamps. Ideal for recruiters, job seekers, lead generation, and market research.", "version": "0.0", "x-build-id": "jN2PeulVWeCInbz0B" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/bornoo~bluesky-job-poster-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-bornoo-bluesky-job-poster-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/bornoo~bluesky-job-poster-scraper/runs": { "post": { "operationId": "runs-sync-bornoo-bluesky-job-poster-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/bornoo~bluesky-job-poster-scraper/run-sync": { "post": { "operationId": "run-sync-bornoo-bluesky-job-poster-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "username", "appPassword" ], "properties": { "username": { "title": "Bluesky Username / Handle", "type": "string", "description": "আপনার Bluesky হ্যান্ডেল, যেমন: yourname.bsky.social" }, "appPassword": { "title": "App Password", "type": "string", "description": "আপনার Bluesky অ্যাকাউন্টের সাধারণ পাসওয়ার্ড নয় — Settings > App Passwords থেকে তৈরি করা App Password দিন। এটি সেন্সিটিভ ফিল্ড হিসেবে সেভ হবে।" }, "searchTerms": { "title": "Search Keywords", "type": "array", "description": "যে কীওয়ার্ডগুলো দিয়ে পোস্ট খুঁজতে চান (যেমন: 'we're hiring', 'now hiring')", "default": [ "we're hiring", "we are hiring", "now hiring", "join our team", "hiring", "job opening", "open position", "career opportunity", "remote job", "software engineer" ], "items": { "type": "string" } }, "maxPostsPerSearch": { "title": "প্রতি কীওয়ার্ডে সর্বোচ্চ কতটি পোস্ট", "minimum": 1, "maximum": 100, "type": "integer", "description": "প্রতিটি সার্চ টার্মের জন্য সর্বোচ্চ কতগুলো পোস্ট সংগ্রহ করবে", "default": 25 } } }, "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 } } } } } } } } } } ```