# Workana Jobs Scraper (`jungle_synthesizer/workana-scraper`) Actor Scrape job listings from Workana.com — LATAM's largest freelancer marketplace. Extract job titles, budgets, required skills, deadlines, proposal counts, client info, and more. Filter by keyword, category, country, and language. Pay-per-result pricing. - **URL**: https://apify.com/jungle\_synthesizer/workana-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Jobs, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 Jobs Scraper Scrapes job listings from Workana.com — Latin America's largest freelance marketplace. Returns job titles, budgets, required skills, proposal counts, and client info for every listing that matches your filters. Works without login. No headless browser required. Supports keyword search, category filters, country, and sort order. ### What You Get Each record is a job listing with the following fields: | Field | Type | Description | |-------|------|-------------| | `jobId` | string | Unique job slug (Workana-native ID) | | `title` | string | Job listing title | | `url` | string | Direct link to the listing on Workana | | `description` | string | Short description of the job requirements | | `budget` | string | Budget or rate (e.g. "USD 100 – 500" or "USD 25 / hour") | | `isHourly` | boolean | True for hourly rate, false for fixed price | | `skills` | string | Comma-separated list of required skills | | `country` | string | Client's country | | `totalBids` | number | Number of proposals received | | `publishedDate` | string | How long ago the job was posted | | `deadline` | string | Project deadline if specified | | `isUrgent` | boolean | Whether the client marked it urgent | | `isFeatured` | boolean | Whether it's a promoted listing | | `clientRating` | string | Client rating out of 5.00 | | `clientHasVerifiedPayment` | boolean | Whether the client verified payment | | `authorName` | string | Client name (abbreviated for privacy) | | `scrapedAt` | string | ISO-8601 timestamp of when this record was scraped | #### Sample Output ```json { "jobId": "build-rest-api-for-inventory-management-system", "title": "Build REST API for Inventory Management System", "url": "https://www.workana.com/job/build-rest-api-for-inventory-management-system", "description": "Looking for a backend developer to build a REST API using Node.js and PostgreSQL...", "budget": "USD 300 - 800", "isHourly": false, "skills": "Node.js, PostgreSQL, REST API", "country": "Argentina", "totalBids": 12, "publishedDate": "Published: 3 hours ago", "deadline": "", "isUrgent": false, "isFeatured": false, "clientRating": "4.80", "clientHasVerifiedPayment": true, "authorName": "J. C. M.", "scrapedAt": "2026-06-03T00:00:30.260Z" } ```` ### Why Use This **Affordable** — Pay-per-result pricing at $0.001 per record, plus a $0.10 start fee. A 1,000-listing run costs about $1.10. **Broad coverage** — Workana reports 10,000+ active listings across 8 job categories and 15+ LATAM countries. No login, no captcha, no rate limit drama. The scraper handles pagination automatically and stops when it reaches your `maxItems` limit. **Clean output** — Returns structured JSON with consistent field names. Skills come back as a comma-separated string. Budget is a plain text value directly from Workana — no parsing required. ### Input Configuration | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `maxItems` | integer | 20 | Maximum number of job listings to return | | `keyword` | string | *(all)* | Keyword to filter listings (e.g. "python", "design") | | `category` | string | *(all)* | Category slug (see list below) | | `language` | string | `all` | Language filter: `all`, `en`, `es`, `pt` | | `country` | string | *(all)* | Country slug (e.g. "argentina", "brazil", "mexico") | | `order` | string | `recent` | Sort order: `recent`, `relevance`, `ending-soon` | #### Category Slugs `it-programming`, `design-multimedia`, `writing-translation`, `sales-marketing`, `admin-support`, `legal`, `finance-management`, `engineering-manufacturing` #### Example Input ```json { "maxItems": 100, "keyword": "python", "category": "it-programming", "language": "all", "country": "", "order": "recent" } ``` ### Pricing Pay-per-event: **$0.10 per run + $0.001 per result**. A 500-record run costs around $0.60. A full 10,000-record export runs about $10.10. ### Notes - Workana abbreviates client names for privacy — this scraper returns what Workana displays. - Budget values are returned as text strings (e.g. "USD 100 - 500 / hour") directly from the site. Parse them in your pipeline if you need numeric ranges. - The `publishedDate` field is a relative string ("Published: 3 hours ago"). If you need absolute timestamps, combine it with `scrapedAt`. - Results are ordered by `order` parameter. Default is `recent` (newest first). # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `maxItems` (type: `integer`): Maximum number of job listings to scrape. Defaults to 20. ## `keyword` (type: `string`): Search keyword to filter job listings (e.g. 'python', 'design'). ## `category` (type: `string`): Filter by job category slug. Examples: it-programming, design-multimedia, writing-translation, sales-marketing, admin-support, legal, finance-management, engineering-manufacturing. Leave blank to scrape all categories. ## `language` (type: `string`): Filter by language code. Use 'all' for all languages (default), 'en' for English, 'es' for Spanish, 'pt' for Portuguese. ## `country` (type: `string`): Filter by country slug (e.g. 'argentina', 'brazil', 'mexico'). Leave blank for all countries. ## `order` (type: `string`): Sort order for results: 'recent' (newest first), 'relevance' (default), 'ending-soon'. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "language": "all", "order": "recent" } ``` # Actor output Schema ## `results` (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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "keyword": "", "category": "", "language": "all", "country": "", "order": "recent" }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/workana-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "keyword": "", "category": "", "language": "all", "country": "", "order": "recent", } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/workana-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "keyword": "", "category": "", "language": "all", "country": "", "order": "recent" }' | apify call jungle_synthesizer/workana-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/workana-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Workana Jobs Scraper", "description": "Scrape job listings from Workana.com — LATAM's largest freelancer marketplace.\nExtract job titles, budgets, required skills, deadlines, proposal counts, client info, and more.\nFilter by keyword, category, country, and language. Pay-per-result pricing.\n", "version": "0.1", "x-build-id": "SIzYF1tNCkX2VH2Jx" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~workana-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-workana-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~workana-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-workana-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~workana-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-workana-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of job listings to scrape. Defaults to 20.", "default": 20 }, "keyword": { "title": "Keyword", "type": "string", "description": "Search keyword to filter job listings (e.g. 'python', 'design')." }, "category": { "title": "Category", "type": "string", "description": "Filter by job category slug. Examples: it-programming, design-multimedia,\nwriting-translation, sales-marketing, admin-support, legal, finance-management,\nengineering-manufacturing. Leave blank to scrape all categories.\n" }, "language": { "title": "Language", "type": "string", "description": "Filter by language code. Use 'all' for all languages (default), 'en' for English, 'es' for Spanish, 'pt' for Portuguese.", "default": "all" }, "country": { "title": "Country", "type": "string", "description": "Filter by country slug (e.g. 'argentina', 'brazil', 'mexico'). Leave blank for all countries." }, "order": { "title": "Sort Order", "type": "string", "description": "Sort order for results: 'recent' (newest first), 'relevance' (default), 'ending-soon'.", "default": "recent" } } }, "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 } } } } } } } } } } ```