# Job Listing Aggregator (`technicaldost/job-listing-aggregator`) Actor Aggregate job listings from LinkedIn, Indeed, Glassdoor. Search by keywords, location, salary. - **URL**: https://apify.com/technicaldost/job-listing-aggregator.md - **Developed by:** [Technical Dost Solutions](https://apify.com/technicaldost) (community) - **Categories:** Jobs, Lead generation, Automation - **Stats:** 9 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $15.00/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 ## Multi-Channel Job Listing Aggregator Aggregate job listings from multiple job boards in a single run. Search by keywords, location, and experience level with automatic deduplication. ### 🎯 Features - **Multi-Source**: Indeed, LinkedIn, Glassdoor, Monster, ZipRecruiter, Dice - **Smart Deduplication**: Remove duplicate listings across platforms - **Advanced Filters**: Experience level, job type, salary range - **Remote Jobs**: Filter for remote work opportunities - **Date Filters**: Get only recent postings - **Location Search**: City, state, and radius support ### 📥 Input | Field | Type | Description | |-------|------|-------------| | `keywords` | array | Job titles/keywords to search | | `location` | object | City, state, country, radius | | `sources` | array | Job boards to search | | `experienceLevel` | array | Entry/mid/senior/executive | | `jobType` | array | Full-time/part-time/contract | | `remote` | boolean | Include remote jobs | | `maxListings` | integer | Maximum total listings | #### Example Input ```json { "keywords": ["software engineer", "full stack developer"], "location": { "city": "San Francisco", "state": "CA", "country": "US", "radius": 25 }, "sources": ["indeed", "linkedin", "glassdoor"], "remote": true, "experienceLevel": ["mid", "senior"], "jobType": ["fulltime"], "postedWithin": "7d", "maxListings": 500, "deduplicateResults": true } ```` ### 📤 Output Each job listing produces: ```json { "title": "Senior Software Engineer", "company": "Tech Corp", "location": "San Francisco, CA", "salary": "$150,000 - $200,000", "description": "We are looking for an experienced...", "applyUrl": "https://indeed.com/jobs/...", "postedDate": "2 days ago", "source": "indeed", "searchKeyword": "software engineer", "remote": false, "scrapedAt": "2024-01-15T10:30:00Z" } ``` ### 🔄 Use Cases 1. **Job Hunting**: Aggregate all opportunities in one place 2. **Recruiting**: Find candidates from multiple sources 3. **Market Research**: Analyze job market trends 4. **Salary Intelligence**: Compare compensation ranges 5. **Skill Analysis**: Identify in-demand skills ### 💡 Tips - Start with fewer sources to test - Use specific keywords for better results - Enable deduplication to avoid repeats - Schedule daily runs for fresh listings ### Supported Job Boards | Source | Status | Notes | |--------|--------|-------| | Indeed | ✅ Full | Best coverage | | LinkedIn | ✅ Full | May require auth | | Glassdoor | ✅ Full | Company reviews included | | Monster | ✅ Full | Legacy job board | | ZipRecruiter | ✅ Full | Quick apply jobs | | Dice | ✅ Full | Tech-focused | ### 🔧 Proxy Configuration Residential proxies recommended: ```json { "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ``` ### 📊 Pricing **Suggested**: $0.002 per job listing (pay-per-result) ### ⚠️ Disclaimer This tool is for job search and market research purposes. Ensure compliance with each job board's Terms of Service. # Actor input Schema ## `keywords` (type: `array`): Job titles or keywords to search ## `location` (type: `string`): City, state or remote ## `maxListings` (type: `integer`): Maximum total listings to collect ## `proxyConfiguration` (type: `object`): Proxy settings for requests ## Actor input object example ```json { "keywords": [ "software engineer" ], "maxListings": 500 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "keywords": [ "software engineer" ] }; // Run the Actor and wait for it to finish const run = await client.actor("technicaldost/job-listing-aggregator").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "keywords": ["software engineer"] } # Run the Actor and wait for it to finish run = client.actor("technicaldost/job-listing-aggregator").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": [ "software engineer" ] }' | apify call technicaldost/job-listing-aggregator --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=technicaldost/job-listing-aggregator", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Job Listing Aggregator", "description": "Aggregate job listings from LinkedIn, Indeed, Glassdoor. Search by keywords, location, salary.", "version": "1.0", "x-build-id": "hRy9BUzcVPr0BB025" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/technicaldost~job-listing-aggregator/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-technicaldost-job-listing-aggregator", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/technicaldost~job-listing-aggregator/runs": { "post": { "operationId": "runs-sync-technicaldost-job-listing-aggregator", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/technicaldost~job-listing-aggregator/run-sync": { "post": { "operationId": "run-sync-technicaldost-job-listing-aggregator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Search Keywords", "type": "array", "description": "Job titles or keywords to search", "items": { "type": "string" } }, "location": { "title": "Location", "type": "string", "description": "City, state or remote" }, "maxListings": { "title": "Max Listings", "type": "integer", "description": "Maximum total listings to collect", "default": 500 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for requests" } } }, "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 } } } } } } } } } } ```