# Workana Jobs Scraper - Low-cost πŸ’²πŸ”₯πŸ’ΌπŸŒŽ (`delectable_incubator/workana-jobs-scraper-low-cost`) Actor πŸ’Ό Scrape Workana freelance jobs and extract job titles, descriptions, required skills, budgets, client countries, payment verification, posting dates, project URLs, and more. Perfect for job aggregation, recruitment, freelance market research, lead generation, and AI automation. πŸš€πŸ“Š - **URL**: https://apify.com/delectable\_incubator/workana-jobs-scraper-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Jobs, Automation, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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/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 ## πŸŒπŸ’Ό Workana Jobs Scraper – Bulk Keyword Job Search & Freelance Job Data Extraction Easily extract freelance job listings from **Workana** using **multiple keywords at once**. This Apify actor searches Workana job listings in bulk and returns structured job data ready for analysis, automation, recruitment, AI datasets, and business intelligence. Perfect for freelancers, recruiters, staffing agencies, job aggregators, market research, lead generation, hiring trend analysis, and workflow automation. --- ### πŸ” What This Scraper Does Simply provide one or more keywords, and the actor automatically searches Workana for matching freelance jobs. βœ… Bulk keyword search βœ… Scrape Workana freelance job listings βœ… Automatic pagination βœ… Extract detailed job information βœ… Collect budgets, bids, client details, skills & job descriptions βœ… Supports multiple keywords in a single run βœ… Maximum jobs per keyword βœ… Clean, structured datasets ready for analysis --- ### πŸ“¦ Extracted Fields | Field | Description | |------|-------------| | `jobId` | Unique job ID | | `jobTitle` | Job title | | `publishedDate` | Publication date | | `description` | Job description | | `skills` | Required skills | | `bids` | Number of bids | | `budget` | Project budget | | `clientName` | Client name | | `clientCountry` | Client country | | `clientCountryCode` | ISO country code | | `clientRating` | Client rating | | `paymentVerified` | Payment verification status | | `lastReply` | Last client reply | | `jobUrl` | Direct Workana job URL | | `keyword` | Search keyword used | --- ### πŸ›  How to Use 1️⃣ Deploy the actor on Apify 2️⃣ Enter one or more search keywords 3️⃣ Set the maximum number of jobs per keyword 4️⃣ Run the actor 5️⃣ Export your dataset #### Supported Export Formats βœ… JSON βœ… CSV βœ… Excel (XLSX) βœ… XML βœ… HTML --- ### πŸ’‘ Use Cases πŸ’Ό Freelance Job Aggregation πŸ“Š Hiring & Recruitment Intelligence 🎯 Lead Generation πŸ“ˆ Freelance Market Research πŸ€– AI & Machine Learning Datasets πŸ“‰ Pricing & Budget Analysis πŸ“Š Business Intelligence Dashboards ⚑ Workflow Automation --- ### πŸ’Έ Pricing This scraper runs on a **pay-per-result** pricing model. You only pay for successfully extracted records. πŸ’³ **Price:** **$0.99 / 1,000 results** --- ### ✏️ Input Example ```` { "keywords": \[ "python", "react", "wordpress", "seo", "graphic designer" ], "maxItemsPerKeyword": 100 } ``` #### Input Fields | Field | Description | |------|-------------| | `keywords` | Array of search keywords | | `maxItemsPerKeyword` | Maximum jobs to collect for each keyword | --- ### πŸ“€ Output Example ``` { "jobId": "WK-8942331", "jobTitle": "Data Analyst for E-commerce Dashboard", "publishedDate": "2026-01-06", "description": "We are looking for a data analyst to build and maintain an e-commerce analytics dashboard...", "skills": \[ "Data Analysis", "Python", "SQL", "Power BI" ], "bids": 18, "budget": "$500 – $800", "clientName": "Digital Commerce Ltd", "clientCountry": "France", "clientCountryCode": "FR", "clientRating": "4.9", "paymentVerified": true, "lastReply": "2 hours ago", "jobUrl": "https://www.workana.com/job/data-analyst-ecommerce-dashboard-8942331", "keyword": "python" } ```` --- ### πŸ“Š Built-in Dataset Views This actor includes ready-to-use dataset views: πŸ“‹ **Overview** β€” All collected freelance jobs πŸ’° **Budgets** β€” Budget & bidding insights 🌍 **Client Overview** β€” Client information βœ… **Verified Clients** β€” Payment-verified employers πŸ”Ž **Keyword Breakdown** β€” Jobs grouped by keyword Ideal for dashboards, recruitment platforms, automation pipelines, and analytics. --- ### ⚑ Why Use This Scraper? πŸš€ Bulk keyword support πŸ“„ Automatic pagination πŸ’Ό Structured freelance job data πŸ“Š Ready for analytics πŸ€– AI-ready datasets βš™οΈ No coding required 🌍 Cloud scalable with Apify --- ### Disclaimer This tool is independent and is **not affiliated with or endorsed by Workana**. --- ### πŸ“« Support ⭐⭐⭐⭐⭐ Leave a review if you enjoy this scraper. For questions, feature requests, or enterprise scraping solutions, contact us through Apify. # Actor input Schema ## `keywords` (type: `array`): List of keywords to search for, one independent search per keyword (e.g., 'data', 'marketing', 'design'). Leave as a single item for a single search. ## `countries` (type: `array`): Select one or multiple countries (leave empty for all countries) ## `language` (type: `string`): Filter jobs by language ## `publication_date` (type: `string`): Filter jobs by when they were published ## `max_items` (type: `integer`): Limits how many job listings will be scraped from Workana FOR EACH keyword. ## Actor input object example ```json { "keywords": [ "marketing" ], "countries": [ "Any Country" ], "language": "All Languages", "publication_date": "Any Time", "max_items": 100 } ```` # 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 = { "keywords": [ "marketing" ], "countries": [ "Any Country" ], "language": "All Languages", "publication_date": "Any Time", "max_items": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/workana-jobs-scraper-low-cost").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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": ["marketing"], "countries": ["Any Country"], "language": "All Languages", "publication_date": "Any Time", "max_items": 100, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/workana-jobs-scraper-low-cost").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keywords": [ "marketing" ], "countries": [ "Any Country" ], "language": "All Languages", "publication_date": "Any Time", "max_items": 100 }' | apify call delectable_incubator/workana-jobs-scraper-low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/workana-jobs-scraper-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Workana Jobs Scraper - Low-cost πŸ’²πŸ”₯πŸ’ΌπŸŒŽ", "description": "πŸ’Ό Scrape Workana freelance jobs and extract job titles, descriptions, required skills, budgets, client countries, payment verification, posting dates, project URLs, and more. Perfect for job aggregation, recruitment, freelance market research, lead generation, and AI automation. πŸš€πŸ“Š", "version": "0.0", "x-build-id": "sU3kva3TcLNc3OQX8" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~workana-jobs-scraper-low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-workana-jobs-scraper-low-cost", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~workana-jobs-scraper-low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-workana-jobs-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~workana-jobs-scraper-low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-workana-jobs-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 πŸ”", "type": "array", "description": "List of keywords to search for, one independent search per keyword (e.g., 'data', 'marketing', 'design'). Leave as a single item for a single search.", "default": [ "marketing" ], "items": { "type": "string" } }, "countries": { "title": "Countries 🌍", "uniqueItems": true, "type": "array", "description": "Select one or multiple countries (leave empty for all countries)", "items": { "type": "string", "enum": [ "Any Country", "US", "CA", "BM", "GL", "MX", "AR", "BR", "CL", "CO", "EC", "PE", "BO", "PY", "UY", "VE", "PA", "CR", "DO", "GT", "HN", "SV", "NI", "BZ", "JM", "TT", "BB", "HT", "CU", "GB", "FR", "DE", "ES", "PT", "IT", "NL", "BE", "CH", "SE", "NO", "PL", "RO", "UA", "IE", "AT", "CZ", "SK", "HU", "BG", "GR", "FI", "DK", "IS", "LU", "MT", "EE", "LV", "LT", "HR", "SI", "RS", "BA", "MK", "AL", "ME", "ZA", "MA", "EG", "TN", "DZ", "NG", "KE", "GH", "SN", "ET", "TZ", "UG", "RW", "CM", "CI", "BJ", "TG", "BF", "ML", "NE", "ZW", "ZM", "NA", "BW", "IN", "CN", "PK", "BD", "LK", "PH", "ID", "VN", "TH", "JP", "KR", "NP", "MM", "KH", "LA", "MN", "KZ", "UZ", "AZ", "AM", "GE", "JO", "LB", "OM", "KW", "AE", "SA", "QA", "TR", "AU", "NZ", "FJ", "PG", "WS" ] }, "default": [ "Any Country" ] }, "language": { "title": "Language πŸ—£οΈ", "enum": [ "All Languages", "English", "Spanish", "Portuguese" ], "type": "string", "description": "Filter jobs by language", "default": "All Languages" }, "publication_date": { "title": "Publication Date πŸ“…", "enum": [ "Any Time", "Past 24 hours", "Past 3 days", "Past week", "Over a week ago" ], "type": "string", "description": "Filter jobs by when they were published", "default": "Any Time" }, "max_items": { "title": "Maximum number of jobs to scrape per keyword πŸ”’", "type": "integer", "description": "Limits how many job listings will be scraped from Workana FOR EACH keyword.", "default": 100 } } }, "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 } } } } } } } } } } ```