# Computrabajo Jobs Scraper - Latin America (`robertoleon57/computrabajo-jobs-scraper`) Actor Scrape job listings from Computrabajo across 18 Latin American countries. Structured job data: title, company, location, salary, posted date and direct link. For recruiters, job boards, and labor-market analysts. - **URL**: https://apify.com/robertoleon57/computrabajo-jobs-scraper.md - **Developed by:** [Roberto LeΓ³n](https://apify.com/robertoleon57) (community) - **Categories:** Jobs, Developer tools, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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 ## Computrabajo Jobs Scraper β€” Latin America Scrape **Computrabajo**, the dominant job board across Latin America, in **18 countries** β€” Colombia, Mexico, Argentina, Chile, Peru, and more. Get clean, structured job listings ready for your ATS, dashboard, or model. Most job-data APIs cover the US/Europe. **Almost none cover LatAm job boards.** This Actor closes that gap. ### What you get per job | Field | Description | |---|---| | `title` | Job title | | `company` | Hiring company | | `location` | City / region | | `salary` | Salary (when published) | | `posted` | When it was posted | | `job_id` | Computrabajo offer id | | `url` | Direct link to the offer | | `country` | Country code | | `position` | Rank in results | | `scraped_at` | UTC timestamp | ### Use cases - **Recruiters / staffing**: source openings and companies hiring, by role and city. - **Job boards / aggregators**: fill your board with fresh LatAm listings. - **Labor-market analysts**: track hiring demand, salaries, and trends by country. - **Sales / GTM**: companies that are hiring are companies that are growing β€” buying signals. ### Input ```json { "country": "co", "searchQueries": ["desarrollador", "contador"], "maxItemsPerQuery": 50, "useApifyProxy": true } ```` # Actor input Schema ## `country` (type: `string`): Computrabajo country site to scrape. ## `searchQueries` (type: `array`): Job keywords to search (e.g. desarrollador, contador, conductor). ## `maxItemsPerQuery` (type: `integer`): Maximum job listings to return per query. ## `useApifyProxy` (type: `boolean`): Route requests through residential IPs to avoid blocks. ## `debugMode` (type: `boolean`): Save raw HTML + parse diagnostics. ## Actor input object example ```json { "country": "co", "searchQueries": [ "desarrollador", "contador" ], "maxItemsPerQuery": 50, "useApifyProxy": true, "debugMode": false } ``` # 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 = { "searchQueries": [ "desarrollador", "contador" ] }; // Run the Actor and wait for it to finish const run = await client.actor("robertoleon57/computrabajo-jobs-scraper").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 = { "searchQueries": [ "desarrollador", "contador", ] } # Run the Actor and wait for it to finish run = client.actor("robertoleon57/computrabajo-jobs-scraper").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 '{ "searchQueries": [ "desarrollador", "contador" ] }' | apify call robertoleon57/computrabajo-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=robertoleon57/computrabajo-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Computrabajo Jobs Scraper - Latin America", "description": "Scrape job listings from Computrabajo across 18 Latin American countries. Structured job data: title, company, location, salary, posted date and direct link. For recruiters, job boards, and labor-market analysts.", "version": "0.1", "x-build-id": "U2GuLdcpbPjHbGquq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/robertoleon57~computrabajo-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-robertoleon57-computrabajo-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/robertoleon57~computrabajo-jobs-scraper/runs": { "post": { "operationId": "runs-sync-robertoleon57-computrabajo-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/robertoleon57~computrabajo-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-robertoleon57-computrabajo-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchQueries" ], "properties": { "country": { "title": "Country", "enum": [ "co", "mx", "ar", "cl", "pe", "ec", "ve", "bo", "py", "uy", "cr", "pa", "gt", "sv", "hn", "ni", "do", "pr" ], "type": "string", "description": "Computrabajo country site to scrape.", "default": "co" }, "searchQueries": { "title": "Search queries", "type": "array", "description": "Job keywords to search (e.g. desarrollador, contador, conductor).", "items": { "type": "string" } }, "maxItemsPerQuery": { "title": "Max jobs per query", "type": "integer", "description": "Maximum job listings to return per query.", "default": 50 }, "useApifyProxy": { "title": "Use Apify Residential Proxy", "type": "boolean", "description": "Route requests through residential IPs to avoid blocks.", "default": true }, "debugMode": { "title": "Debug mode", "type": "boolean", "description": "Save raw HTML + parse diagnostics.", "default": false } } }, "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 } } } } } } } } } } ```