# Workana Job Scraper (`getdataforme/workana-job-scraper`) Actor Extract and analyze Workana job listings effortlessly with this Apify scraper. Perform targeted searches, capture comprehensive data like titles, budgets, skills, and bidder info, and get structured JSON output.... - **URL**: https://apify.com/getdataforme/workana-job-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Agents, Jobs, Lead generation - **Stats:** 31 total users, 7 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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 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 ## Workana Job Scraper The Workana Job Scraper is a powerful Apify Actor designed to extract detailed job listings from Workana, a leading freelance marketplace. It enables users to search for jobs based on specific queries, collecting comprehensive data such as job titles, descriptions, budgets, skills, and bidder information. This tool is ideal for freelancers, recruiters, and businesses seeking to analyze job market trends, identify opportunities, or gather competitive intelligence efficiently. ### Features - **Targeted Job Search**: Perform precise searches using custom queries to find relevant job postings on Workana. - **Comprehensive Data Extraction**: Captures key details including job URLs, descriptions, budgets, required skills, posting dates, and author ratings. - **High Performance**: Built on CheerioCrawler for fast, reliable scraping with configurable request limits to manage crawl depth. - **Structured Output**: Delivers clean, JSON-formatted data ready for analysis, export, or integration into workflows. - **Error Handling**: Includes built-in mechanisms to handle common scraping issues like rate limits and page errors. - **Scalable and Reliable**: Optimized for handling multiple pages and large datasets without compromising data integrity. - **Easy Integration**: Seamlessly integrates with Apify's platform for scheduling, monitoring, and exporting results in various formats. ### Input Parameters | Parameter | Type | Required | Description | Example | |------------------------|---------|----------|-----------------------------------------------------------------------------|--------------------------| | searchQuery | string | Yes | The query string to search for jobs on Workana (e.g., keywords like "project" or "design"). | "project" | | maxRequestsPerCrawl | integer | No | The maximum number of HTTP requests the crawler can make during a single run. Helps control costs and avoid overloading the target site. | 10 | ### Example Usage To run the actor, provide input in JSON format. Here's an example: ```json { "searchQuery": "project", "maxRequestsPerCrawl": 10 } ```` This will scrape jobs matching "project" and limit requests to 10. Example output (truncated for brevity): ```json [ { "slug": "experienced-project-manager-for-hr-solution-implementation-microsoft-dynamics-hr-cornerstone", "title": "Experienced Project Manager for Hr Solution Implementation (Microsoft Dynamics Hr / Cornerstone)", "jobUrl": "https://www.workana.com/job/experienced-project-manager-for-hr-solution-implementation-microsoft-dynamics-hr-cornerstone", "description": "We are seeking a highly skilled and experienced Project Manager to lead the implementation of a new Human Resources (HR) solution. The chosen platform will be either Microsoft Dynamics HR or Cornerstone, and the Project Manager will be responsible for ensuring a successful, on-time, and on-budget deployment.\nKey responsibilities include:\n- Developing comprehensive project plans, including scope, objectives, timelines, and resource allocation.\n- Managing all phases of the project lifecycle, from initiation and planning to execution, monitoring, and closure.\n- Coordinating with internal hr teams, it departments, and external vendors to ensure seamless integration and data migration.\n- Identifying potential risks and developing mitigation strategies.\n- Facilitating effective communication among all stakeholders, providing regular updates on project status and key milestones.\n- Overseeing user acceptance testing (UAT) and ensuring proper training and documentation are in place.\n- Driving change management initiatives to ensure smooth adoption of the new HR system.\nThe ideal candidate will have a proven track record in managing complex HR software implementations, demonstrating strong leadership, organizational, and problem-solving skills. Expertise with Microsoft Dynamics HR or Cornerstone platforms is highly desirable.", "budget": "USD 50 - 100", "skills": [ "Project Management", "Human Resources", "Business Analysis", "Management", "Strategic Planning" ], "isHourly": false, "postedDate": "1 hour ago", "publishedDate": "Published: 1 hour ago", "totalBids": "Bids: 1", "authorName": "N. M.", "country": "Angola", "isUrgent": false, "hasVerifiedPaymentMethod": false, "rating": "0.00", "sourceUrl": "https://www.workana.com/jobs?language=en&query=project&page=1", "scrapedAt": "2026-02-10T11:27:21.579Z", "page": 1, "searchQuery": "project" } ] ``` ### Use Cases - **Market Research**: Analyze job trends, popular skills, and budget ranges to inform business strategies. - **Competitive Intelligence**: Monitor competitors' job postings to understand their hiring needs and project scopes. - **Freelancer Prospecting**: Identify high-paying opportunities matching your expertise. - **Academic Research**: Collect data for studies on freelance marketplaces and labor economics. - **Recruitment Automation**: Automate the discovery of potential candidates or projects for agencies. - **Content Aggregation**: Build datasets for blogs, reports, or dashboards on job market insights. ### Installation and Usage 1. Search for "Workana Job Scraper" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters (e.g., set your search query). 4. Click "Start" to begin extraction. 5. Monitor progress in the log. 6. Export results in your preferred format (JSON, CSV, Excel). ### Output Format The actor outputs an array of JSON objects, each representing a job listing. Key fields include: - `slug` and `title`: Unique identifier and job title. - `jobUrl`: Direct link to the job posting. - `description`: Full job details. - `budget`: Estimated pay range. - `skills`: Array of required skills. - `postedDate` and `publishedDate`: Timestamps. - `authorName`, `country`, `rating`: Poster details. - `sourceUrl`, `scrapedAt`, `page`, `searchQuery`: Metadata for tracking. Data is timestamped and includes pagination info for multi-page results. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! *** Extract and analyze Workana job listings effortlessly with this scraper. Key features: targeted searches, comprehensive data extraction, high performance, and structured JSON output. Perfect for market research, competitive intelligence, and freelancer prospecting. Start scraping today! (148 characters) # Actor input Schema ## `searchQuery` (type: `string`): Query to search for jobs. ## `maxRequestsPerCrawl` (type: `integer`): Maximum number of requests that can be made by this crawler. ## Actor input object example ```json { "searchQuery": "project", "maxRequestsPerCrawl": 10 } ``` # 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("getdataforme/workana-job-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("getdataforme/workana-job-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 getdataforme/workana-job-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/workana-job-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Workana Job Scraper", "description": "Extract and analyze Workana job listings effortlessly with this Apify scraper. Perform targeted searches, capture comprehensive data like titles, budgets, skills, and bidder info, and get structured JSON output....", "version": "0.0", "x-build-id": "SfWwGEh4KDtf9qNwE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~workana-job-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-workana-job-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~workana-job-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-workana-job-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~workana-job-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-workana-job-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchQuery" ], "properties": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Query to search for jobs.", "default": "project" }, "maxRequestsPerCrawl": { "title": "Max Requests per Crawl", "type": "integer", "description": "Maximum number of requests that can be made by this crawler.", "default": 10 } } }, "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 } } } } } } } } } } ```