# Computrabajo.com Job Scraper (`unfenced-group/computrabajo-com-job-scraper`) Actor Scrape job listings from Computrabajo across 16 LATAM countries β€” Mexico, Colombia, Argentina and more. Filter by keyword, location, salary, contract type and experience. - **URL**: https://apify.com/unfenced-group/computrabajo-com-job-scraper.md - **Developed by:** [Unfenced Group](https://apify.com/unfenced-group) (community) - **Categories:** Jobs - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.49 / 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 Scraper ![Computrabajo Scraper](https://i.imgur.com/M6F6Fsh.png) ![Computrabajo Scraper](https://i.imgur.com/rCiji2Y.png) Scrape structured job listings from [Computrabajo](https://www.computrabajo.com) β€” Latin America's largest job board, covering 16 countries including Mexico, Colombia, Argentina, Chile, and Peru. No API key required. --- ### Why this scraper? #### 🌎 16 LATAM countries in one actor Mexico, Colombia, Argentina, Chile, Peru, Ecuador, Venezuela, Bolivia, Paraguay, Uruguay, Dominican Republic, Panama, Costa Rica, Guatemala, Honduras, and El Salvador β€” all via a single `country` input. #### πŸ“„ Full job descriptions in three formats HTML, plain text, and Markdown β€” ready to feed into downstream pipelines, LLMs, or databases. #### πŸ’° Salary, education, and skills data `salaryMin`, `salaryCurrency`, `salaryPeriod` parsed from structured markup. Education level, years of experience, and required skills extracted from the description block where available. #### βš™οΈ Rich filtering Filter by keyword, location, contract type, experience level, minimum salary, and days since posting. #### πŸ”’ No API key required Runs without any third-party credentials. --- ### Input parameters | Parameter | Type | Description | Default | |---|---|---|---| | `keyword` | string | Job title, keyword, or skill to search for. | β€” | | `location` | string | City or region to filter by. | β€” | | `country` | string | Target country code. Options: `mx` `ar` `co` `cl` `pe` `ec` `ve` `bo` `py` `uy` `do` `pa` `cr` `gt` `hn` `sv` | `mx` | | `contractType` | string | Contract type filter: `permanent`, `fixed-term`, `seasonal`, `other`. | β€” | | `experienceYears` | string | Minimum years of experience: `1`, `2`, `3-4`, `5-10`, `10+`. | β€” | | `minSalary` | string | Minimum monthly salary in local currency. | β€” | | `daysOld` | string | Only return listings posted within the last N days. Options: `1` `3` `7` `15` `30`. | β€” | | `maxItems` | integer | Maximum number of results to return. | `100` | | `startUrls` | array | List of specific Computrabajo job URLs to scrape directly. | β€” | | `proxyConfiguration` | object | Proxy settings. Residential proxy recommended for large runs. | `{}` | --- ### Output schema Each result contains the following fields. | Field | Type | Fill rate | Description | |---|---|---|---| | `jobId` | string | 100% | Unique 32-character hex job ID from the URL. | | `url` | string | 100% | Direct link to the job listing. | | `title` | string | 100% | Job title as published. | | `company` | string | 100% | Employer name. | | `city` | string | 100% | City of the work location. | | `state` | string | 100% | State or province. | | `country` | string | 100% | Country code (ISO 3166-1 alpha-2). | | `employmentType` | string | 100% | Employment type (Full time, Part time, Contractor, Temporary). | | `industry` | string | 100% | Industry sector as published. | | `datePosted` | string | 100% | Publication date (YYYY-MM-DD). | | `validThrough` | string | 100% | Application deadline (YYYY-MM-DD). | | `directApply` | boolean | 100% | Whether in-platform application is available. | | `salaryMin` | number | ~60% | Minimum salary value (null if not published). | | `salaryCurrency` | string | ~60% | ISO 4217 currency code. | | `salaryPeriod` | string | ~60% | Salary period: MONTH / YEAR / HOUR. | | `educationRequired` | string | ~100% | Minimum education level. | | `experienceRequired` | string | ~90% | Years of experience required. | | `skills` | string | ~80% | Required skills extracted from description. | | `languages` | string | ~20% | Required language(s) where stated. | | `descriptionHtml` | string | 100% | Full job description (HTML). | | `descriptionText` | string | 100% | Full job description (plain text). | | `descriptionMarkdown` | string | 100% | Full job description (Markdown). | | `changeStatus` | string | 100% | Change status: NEW / UPDATED / UNCHANGED. | | `contentHash` | string | 100% | MD5 hash of key fields for change detection. | | `scrapedAt` | string | 100% | ISO 8601 timestamp of when this item was scraped. | **Example output record:** ```json { "jobId": "A3F8C201D7E4B9F2A1C3D5E6F7A8B9C0", "url": "https://mx.computrabajo.com/ofertas-de-trabajo/oferta-de-trabajo-de-desarrollador-senior-A3F8C201D7E4B9F2A1C3D5E6F7A8B9C0", "title": "Desarrollador Senior C## .NET / Azure", "company": "Gacse Systems", "city": "Ciudad de MΓ©xico", "state": "Ciudad de MΓ©xico", "country": "MX", "employmentType": "Full Time", "industry": "Technology", "datePosted": "2026-04-19", "validThrough": "2026-05-19", "directApply": true, "salaryMin": 30000, "salaryCurrency": "MXN", "salaryPeriod": "MONTH", "educationRequired": "Licenciatura", "experienceRequired": "3 years", "skills": "C#, .NET, Azure, SQL Server", "languages": null, "descriptionText": "Buscamos un desarrollador senior...", "changeStatus": "NEW", "contentHash": "a3f1b2c4d5e67890", "scrapedAt": "2026-04-24T09:00:00.000Z" } ```` *** ### Examples #### 1 β€” Search for developer roles in Mexico City ```json { "keyword": "desarrollador", "location": "Ciudad de MΓ©xico", "country": "mx", "maxItems": 100 } ``` #### 2 β€” Permanent contracts only, Colombia ```json { "keyword": "analista", "country": "co", "contractType": "permanent", "maxItems": 200 } ``` #### 3 β€” Daily feed β€” last 24 hours, Argentina ```json { "keyword": "contador", "country": "ar", "daysOld": "1", "maxItems": 500 } ``` #### 4 β€” Scrape a specific job URL directly ```json { "startUrls": [ "https://mx.computrabajo.com/ofertas-de-trabajo/oferta-de-trabajo-de-desarrollador-A3F8C201" ] } ``` *** ### πŸ’° Pricing **$1.50 per 1,000 results** β€” you only pay for successfully retrieved listings. | Results | Cost | |---|---| | 100 | ~$0.15 | | 1,000 | ~$1.50 | | 10,000 | ~$15.00 | | 100,000 | ~$150.00 | > Flat-rate alternatives typically charge $29–$49/month regardless of usage. Use the **Max results** cap in the input to control your spend exactly. *** ### Performance | Run size | Approx. time | |---|---| | 100 listings | ~3–4 min | | 1,000 listings | ~20–25 min | | 10,000 listings | ~4 hours | Memory: 256 MB. Residential proxy recommended for runs above 100 items. *** ### Known limitations - **Salary data:** Only ~60% of listings publish salary information. `salaryMin` may be null; Computrabajo's structured data does not include a salary range β€” only a single value. - **Empty keyword:** Leaving `keyword` blank returns no results. Computrabajo's `/empleos` root URL is a homepage, not a job listing. Always specify a keyword. - **Sort order:** Results are returned in the platform's default relevance order. Custom sort is not supported via URL parameters. - **Run timeout:** For runs above 20 items, set the timeout to at least 900 seconds in the run options. *** ### Technical details - **Source:** computrabajo.com β€” multi-country LATAM job board - **Memory:** 256 MB - **Repost storage:** KeyValueStore `computrabajo-job-dedup`, 90-day TTL - **Retry:** Automatic retry on network errors, exponential backoff, 3 attempts per request *** ### Additional services Need a custom actor, additional filters, scheduled runs, or integration support? Send an email to β€” we build on request. *** *Part of the [Unfenced Group](https://apify.com/unfenced-group) job board scraper portfolio β€” 50+ markets covered.* # Actor input Schema ## `keyword` (type: `string`): Job title or keyword to search for, e.g. 'data engineer' or 'desarrollador backend'. ## `location` (type: `string`): City or region to search in, e.g. 'Ciudad de MΓ©xico' or 'BogotΓ‘'. ## `country` (type: `string`): Country to search in. Determines which Computrabajo domain is used. ## `contractType` (type: `string`): Filter by contract type. ## `experienceYears` (type: `string`): Filter by minimum years of experience required. ## `minSalary` (type: `string`): Filter by minimum monthly salary (in local currency). ## `daysOld` (type: `string`): Only return jobs posted within the last N days. ## `maxItems` (type: `integer`): Maximum number of job listings to return. ## `startUrls` (type: `array`): Optional list of direct Computrabajo job or search page URLs to scrape instead of using the keyword search. ## `proxyConfiguration` (type: `object`): Proxy settings. Residential proxy is recommended for reliable results. ## Actor input object example ```json { "keyword": "", "location": "", "country": "mx", "contractType": "", "experienceYears": "", "minSalary": "", "daysOld": "", "maxItems": 5, "startUrls": [], "proxyConfiguration": {} } ``` # Actor output Schema ## `OUTPUT` (type: `string`): Dataset containing all scraped items # 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("unfenced-group/computrabajo-com-job-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 = {} # Run the Actor and wait for it to finish run = client.actor("unfenced-group/computrabajo-com-job-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 '{}' | apify call unfenced-group/computrabajo-com-job-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=unfenced-group/computrabajo-com-job-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Computrabajo.com Job Scraper", "description": "Scrape job listings from Computrabajo across 16 LATAM countries β€” Mexico, Colombia, Argentina and more. Filter by keyword, location, salary, contract type and experience.", "version": "0.0", "x-build-id": "77XFKix1x0b6ueCZe" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/unfenced-group~computrabajo-com-job-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-unfenced-group-computrabajo-com-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/unfenced-group~computrabajo-com-job-scraper/runs": { "post": { "operationId": "runs-sync-unfenced-group-computrabajo-com-job-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/unfenced-group~computrabajo-com-job-scraper/run-sync": { "post": { "operationId": "run-sync-unfenced-group-computrabajo-com-job-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "keyword": { "title": "Search keyword", "type": "string", "description": "Job title or keyword to search for, e.g. 'data engineer' or 'desarrollador backend'.", "default": "" }, "location": { "title": "Location", "type": "string", "description": "City or region to search in, e.g. 'Ciudad de MΓ©xico' or 'BogotΓ‘'.", "default": "" }, "country": { "title": "Country", "enum": [ "mx", "ar", "co", "pe", "cl", "ec", "ve", "bo", "py", "uy", "do", "pa", "cr", "gt", "hn", "sv" ], "type": "string", "description": "Country to search in. Determines which Computrabajo domain is used.", "default": "mx" }, "contractType": { "title": "Contract type", "enum": [ "", "indefinido", "determinado", "temporada", "otro" ], "type": "string", "description": "Filter by contract type.", "default": "" }, "experienceYears": { "title": "Minimum experience (years)", "enum": [ "", "1", "2", "3", "4", "5", "10", "10+" ], "type": "string", "description": "Filter by minimum years of experience required.", "default": "" }, "minSalary": { "title": "Minimum salary (local currency)", "enum": [ "", "5000", "10000", "15000", "20000", "30000", "40000", "50000" ], "type": "string", "description": "Filter by minimum monthly salary (in local currency).", "default": "" }, "daysOld": { "title": "Posted within (days)", "enum": [ "", "1", "3", "7", "15", "30" ], "type": "string", "description": "Only return jobs posted within the last N days.", "default": "" }, "maxItems": { "title": "Max results", "minimum": 1, "type": "integer", "description": "Maximum number of job listings to return.", "default": 5 }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Optional list of direct Computrabajo job or search page URLs to scrape instead of using the keyword search.", "items": { "type": "string" }, "default": [] }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings. Residential proxy is recommended for reliable results.", "default": {} } } }, "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 } } } } } } } } } } ```