# Zonajobs Jobs Search Scraper (`stealth_mode/zonajobs-jobs-search-scraper`) Actor Scrape job listings from ZonaJobs.com.ar with 30+ structured fields per result — including company info, work modality, salary flags, location, and publication dates. Perfect for recruiters, analysts, and HR professionals targeting the Latin American job market. - **URL**: https://apify.com/stealth\_mode/zonajobs-jobs-search-scraper.md - **Developed by:** [Stealth mode](https://apify.com/stealth_mode) (community) - **Categories:** Automation, Developer tools, Jobs - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 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. 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.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 ## ZonaJobs.com.ar Scraper: Extract Job Listings from Argentina's Top Job Board **Excerpt:** Scrape job listings from ZonaJobs.com.ar with 30+ structured fields per result — including company info, work modality, salary flags, location, and publication dates. Perfect for recruiters, analysts, and HR professionals targeting the Latin American job market. --- ### What Is ZonaJobs.com.ar? ZonaJobs is one of Latin America's most established employment platforms, primarily serving Argentina and the broader Spanish-speaking job market. It hosts thousands of active listings across industries, from entry-level roles to senior positions. The **ZonaJobs Scraper** automates bulk collection of these listings, turning paginated search results into clean, structured datasets — without manual copy-pasting. --- ### Overview The **ZonaJobs Jobs Search Scraper** crawls job search result pages and extracts comprehensive listing data in a single run. It is built for: - **Recruiters** monitoring competitor postings and hiring trends - **HR analysts** building salary and modality benchmarking datasets - **Job aggregators** syndicating Latin American opportunities - **Researchers** studying employment patterns across Argentina and the region Configurable per-URL limits and fault-tolerant URL handling make it suitable for both small targeted pulls and large-scale data pipelines. --- ### Input Format ```json { "urls": [ "https://www.zonajobs.com.ar/empleos.html?recientes=true&page=1", "https://www.zonajobs.com.ar/empleos.html?recientes=true&page=2" ], "ignore_url_failures": true, "max_items_per_url": 50 } ```` | Field | Type | Description | |---|---|---| | `urls` | `array` | One or more ZonaJobs search result page URLs. Append `&page=N` to paginate through results. Add multiple URLs to cover several pages or filtered searches in one run. | | `max_items_per_url` | `integer` | Maximum number of job listings to collect per URL. Default prefill: `20`. Increase up to `50` for fuller page coverage. | | `ignore_url_failures` | `boolean` | If `true`, failed URLs are skipped and the run continues. Recommended for bulk multi-page scraping to avoid interruptions. Default: `true`. | > **Tip:** To scrape multiple pages, add each paginated URL separately — e.g., `?page=1`, `?page=2`, etc. You can also filter by category or location in the URL query string before pasting into `urls`. *** ### Output Format **Sample output** ```json { "id": 2181970, "title": "Analista Administrativo con foco en cobranzas", "description": "Buscamos un/a Analista Administrativo orientado/a al área de cobranzas, responsable de gestionar y dar seguimiento a cuentas corrientes, asegurando el cumplimiento de pagos y manteniendo una comunicación eficiente con clientes.Principales responsabilidades* Gestión y seguimiento de cobranzas.* Control y conciliación de cuentas corrientes.* Reclamo y seguimiento de pagos pendientes.* Emisión y control de notas de crédito y recibos.* Análisis de deuda y elaboración de reportes de mora.* Atención y resolución de consultas de clientes relacionadas con pagos y facturación.* Coordinación con áreas comerciales y contables.* Gestión y coordinación de pago a proveedores.* Asistencia administrativa al estudio contable.* Colaboración en procesos contables y financieros.* Apoyo en controles administrativos generales de la empresa.Requisitos* Experiencia previa en administración y cobranzas.* Manejo de Excel intermedio/avanzado.* Perfil analítico, organizado y proactivo.* Buen manejo de comunicación y negociación.*Resida en zonas aledañas a Belgrano", "disability_friendly": false, "company_id": null, "company_name": "Confidencial", "confidential": true, "logo_url": null, "validated": null, "company_pro": null, "published_at": "15-05-2026 11:07:39", "published_date": "15-05-2026", "modified_at": "18-05-2026 09:25:17", "publication_plan": { "id": 40, "nombre": "Avisos Gold" }, "portal": "zonajobs", "job_type": "Full-time", "country_id": 1, "area_id": 1, "subarea_id": 22, "read": null, "visited_by_applicant": null, "location": "Capital Federal, Buenos Aires", "vacancies_count": 1, "saved": null, "gptw_url": null, "company_rating": null, "work_modality": "Presencial", "has_questions": true, "mandatory_salary": true, "high_profile_review": true, "quick_apply": false, "advertisement_type": "destacado" } ``` Each job listing returns a structured record with 30+ fields: #### Identification & Content | Field | Meaning | |---|---| | `ID` | Unique ZonaJobs internal identifier for the listing | | `Title` | Job title as shown on the search results page | | `Description` | Summary or full text of the job posting | #### Company Information | Field | Meaning | |---|---| | `Company ID` | Internal identifier for the hiring company | | `Company Name` | Employer name (empty if confidential) | | `Confidential` | `true` if the company has hidden its identity | | `Logo URL` | URL to the company's logo image | | `Validated` | Whether ZonaJobs has verified the company account | | `Company Pro` | Indicates if the company holds a premium account | | `Company Rating` | Employer rating score (when available) | | `GPTW URL` | Link to a "Great Place to Work" certification, if applicable | #### Dates & Publication | Field | Meaning | |---|---| | `Published At` | Full timestamp when the listing was published | | `Published Date` | Human-readable publication date | | `Modified At` | Timestamp of the most recent listing update | | `Publication Plan` | Subscription or plan tier used to post the listing | | `Advertisement Type` | Classification of the ad format (e.g., standard, featured) | | `Portal` | The portal or sub-platform where the listing appears | #### Role & Location Details | Field | Meaning | |---|---| | `Job Type` | Contract type (e.g., full-time, part-time, freelance) | | `Work Modality` | On-site, remote, or hybrid | | `Location` | City or region where the role is based | | `Country ID` | Numeric country identifier | | `Area ID` | Industry or functional area code | | `Subarea ID` | More granular sub-category within the area | | `Vacancies Count` | Number of open positions for this listing | #### Applicant & Engagement Flags | Field | Meaning | |---|---| | `Read` | Whether the listing has been marked as read | | `Visited By Applicant` | Whether the current user has viewed this listing | | `Saved` | Whether the listing has been bookmarked | | `Has Questions` | `true` if the application includes screening questions | | `Quick Apply` | `true` if one-click application is available | | `Mandatory Salary` | Whether salary disclosure is required for this listing | | `High Profile Review` | Flags listings subject to elevated review criteria | | `Disability Friendly` | `true` if the role explicitly welcomes applicants with disabilities | *** ### How to Use 1. **Build your URL list** — Open ZonaJobs, apply your desired filters (location, category, recency), then copy the results page URL. Append `&page=N` to cover multiple pages. 2. **Configure the input** — Paste URLs into `urls`, set `max_items_per_url` (up to `50`), and keep `ignore_url_failures: true` for bulk runs. 3. **Run the scraper** — Start the actor and monitor progress in the run log. 4. **Export** — Download results as JSON, CSV, or Excel for analysis or integration. **Common issues:** - Ensure URLs point to **search result pages**, not individual job detail pages. - If results seem incomplete, reduce `max_items_per_url` and add more paginated URLs instead. *** ### Use Cases & Business Value - **Market intelligence:** Track hiring volume, in-demand roles, and remote work trends across Argentina - **Compensation research:** Identify listings with mandatory salary disclosure for benchmarking - **DEI analysis:** Filter `Disability Friendly` listings for inclusive hiring reports - **Job board aggregation:** Feed structured ZonaJobs data into custom career platforms *** ### Conclusion The **ZonaJobs.com.ar Jobs Search Scraper** gives you fast, reliable access to one of Latin America's richest employment datasets. With 30+ fields per listing and simple pagination support, it eliminates manual data collection and integrates directly into your workflows. # Actor input Schema ## `urls` (type: `array`): Add the URLs of the Jobs list urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list. ## `ignore_url_failures` (type: `boolean`): If true, the scraper will continue running even if some URLs fail to be scraped. ## `max_items_per_url` (type: `integer`): The maximum number of items to scrape per URL. ## Actor input object example ```json { "urls": [ "https://www.zonajobs.com.ar/empleos.html?recientes=true&page=2" ], "ignore_url_failures": true, "max_items_per_url": 20 } ``` # 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 = { "urls": [ "https://www.zonajobs.com.ar/empleos.html?recientes=true&page=2" ], "ignore_url_failures": true, "max_items_per_url": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("stealth_mode/zonajobs-jobs-search-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 = { "urls": ["https://www.zonajobs.com.ar/empleos.html?recientes=true&page=2"], "ignore_url_failures": True, "max_items_per_url": 20, } # Run the Actor and wait for it to finish run = client.actor("stealth_mode/zonajobs-jobs-search-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 '{ "urls": [ "https://www.zonajobs.com.ar/empleos.html?recientes=true&page=2" ], "ignore_url_failures": true, "max_items_per_url": 20 }' | apify call stealth_mode/zonajobs-jobs-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=stealth_mode/zonajobs-jobs-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Zonajobs Jobs Search Scraper", "description": "Scrape job listings from ZonaJobs.com.ar with 30+ structured fields per result — including company info, work modality, salary flags, location, and publication dates. Perfect for recruiters, analysts, and HR professionals targeting the Latin American job market.", "version": "0.0", "x-build-id": "cPbH8TwF4s0PFkNou" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/stealth_mode~zonajobs-jobs-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-stealth_mode-zonajobs-jobs-search-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/stealth_mode~zonajobs-jobs-search-scraper/runs": { "post": { "operationId": "runs-sync-stealth_mode-zonajobs-jobs-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/stealth_mode~zonajobs-jobs-search-scraper/run-sync": { "post": { "operationId": "run-sync-stealth_mode-zonajobs-jobs-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "urls": { "title": "URLs of the Jobs list urls to scrape", "type": "array", "description": "Add the URLs of the Jobs list urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list.", "items": { "type": "string" } }, "ignore_url_failures": { "title": "Continue running even if some URLs fail to be scraped", "type": "boolean", "description": "If true, the scraper will continue running even if some URLs fail to be scraped." }, "max_items_per_url": { "title": "Max items per URL", "type": "integer", "description": "The maximum number of items to scrape per URL." } } }, "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 } } } } } } } } } } ```