# LHH Jobs Scraper (`piotrv1001/lhh-jobs-scraper`) Actor Scrapes job listings from LHH (lhh.com) search results, extracting titles, locations, salary ranges, contract types, practice areas, descriptions, and posting dates. Ideal for job market research, recruitment intelligence, and career opportunity tracking. - **URL**: https://apify.com/piotrv1001/lhh-jobs-scraper.md - **Developed by:** [FalconScrape](https://apify.com/piotrv1001) (community) - **Categories:** Jobs, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 1,000 jobs 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.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 ### 🚀 LHH Jobs Scraper Easily extract job listings from [LHH](https://www.lhh.com) (Lee Hecht Harrison). The **LHH Jobs Scraper** allows you to gather structured job data for career research, market analysis, and recruitment intelligence. ### ✨ Features - 💼 **Comprehensive Job Data**: Retrieve job titles, locations, contract types, salary ranges, practice areas, descriptions, and posting dates. - 🔍 **Search-Based Extraction**: Provide LHH search result URLs with filters like job title, location, or category. - 📄 **Automatic Pagination**: Follows all result pages so you never miss a listing. - ⚡ **Fast & Efficient**: Blocks unnecessary resources (images, trackers) for faster page loads and lower bandwidth usage. - 🎯 **Flexible Limits**: Control output with global and per-URL item caps. ### 🛠️ How It Works 1. **Enter Search URLs** – Provide one or more LHH search page URLs (e.g. `https://www.lhh.com/en-us/search-jobs?jobTitle=engineer&jobLocation=new+york`). 2. **Set Limits (optional)** – Configure `maxItems` and `maxItemsPerUrl` to control how many listings are scraped. 3. **Run the Scraper** – Start the process and receive structured job data in the default dataset. ### 📊 Sample Output Data The scraper provides structured JSON output with key job details. Example: ```json [ { "title": "Senior Software Engineer", "location": "New York, NY", "contractType": "Full-Time", "practiceArea": "Technology", "salaryRange": "$120,000 - $150,000", "category": "Technology", "postedDate": "2 days ago", "jobUrl": "https://www.lhh.com/en-us/job/senior-software-engineer-12345", "description": "We are looking for a Senior Software Engineer to join our team...", "sourceUrl": "https://www.lhh.com/en-us/search-jobs?jobTitle=engineer", "scrapedAt": "2025-01-15T10:30:00.000Z" }, { "title": "Marketing Manager", "location": "Chicago, IL", "contractType": "Contract", "practiceArea": "Marketing & Communications", "salaryRange": "$80,000 - $100,000", "category": "Marketing & Communications", "postedDate": "1 week ago", "jobUrl": "https://www.lhh.com/en-us/job/marketing-manager-67890", "description": "Seeking an experienced Marketing Manager to lead brand strategy...", "sourceUrl": "https://www.lhh.com/en-us/search-jobs?jobTitle=marketing", "scrapedAt": "2025-01-15T10:31:00.000Z" } ] ```` Supercharge your job market research with **LHH Jobs Scraper** today! 🚀 # Actor input Schema ## `startUrls` (type: `array`): LHH search page URLs. Can include filters like ?jobTitle=...\&jobLocation=... ## `maxItems` (type: `integer`): Global cap on total items scraped. Set to 0 for unlimited. ## `maxItemsPerUrl` (type: `integer`): Cap on items scraped per start URL. Set to 0 for unlimited. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.lhh.com/en-us/search-jobs" } ], "maxItems": 50, "maxItemsPerUrl": 0 } ``` # Actor output Schema ## `overview` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "startUrls": [ { "url": "https://www.lhh.com/en-us/search-jobs" } ], "maxItems": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("piotrv1001/lhh-jobs-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "startUrls": [{ "url": "https://www.lhh.com/en-us/search-jobs" }], "maxItems": 50, } # Run the Actor and wait for it to finish run = client.actor("piotrv1001/lhh-jobs-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 '{ "startUrls": [ { "url": "https://www.lhh.com/en-us/search-jobs" } ], "maxItems": 50 }' | apify call piotrv1001/lhh-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=piotrv1001/lhh-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LHH Jobs Scraper", "description": "Scrapes job listings from LHH (lhh.com) search results, extracting titles, locations, salary ranges, contract types, practice areas, descriptions, and posting dates. Ideal for job market research, recruitment intelligence, and career opportunity tracking.", "version": "0.0", "x-build-id": "3Z7aMR35HyheFbo5H" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/piotrv1001~lhh-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-piotrv1001-lhh-jobs-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/piotrv1001~lhh-jobs-scraper/runs": { "post": { "operationId": "runs-sync-piotrv1001-lhh-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/piotrv1001~lhh-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-piotrv1001-lhh-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "LHH search page URLs. Can include filters like ?jobTitle=...&jobLocation=...", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Max Items", "minimum": 0, "type": "integer", "description": "Global cap on total items scraped. Set to 0 for unlimited.", "default": 50 }, "maxItemsPerUrl": { "title": "Max Items Per URL", "minimum": 0, "type": "integer", "description": "Cap on items scraped per start URL. Set to 0 for unlimited.", "default": 0 } } }, "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 } } } } } } } } } } ```