InfoJobs Jobs Scraper

Extract job listings from InfoJobs with structured output ready for analytics, lead pipelines, and hiring intelligence workflows. Use a single search URL input plus crawl limits for a simple, production-friendly setup.

Features

• Job listing extraction — Collect titles, company names, locations, contracts, salary data, and publication timestamps.
• Simple input setup — Run with only searchUrl, results_wanted, and max_pages.
• Pagination support — Automatically walks pages until target result count or page limit is reached.
• Clean output records — Removes empty values from each dataset item for cleaner downstream usage.
• Production-ready dataset — Stable record structure designed for exports and automations.

Use Cases

Hiring Intelligence

Track open roles by category or keyword and analyze hiring trends over time.

Competitive Monitoring

Monitor which companies are hiring, where they hire, and how compensation ranges evolve.

Market Research

Build datasets for labor market studies, salary trend tracking, and demand analysis.

Lead Generation

Collect company and role opportunities for recruitment agencies and B2B outreach teams.

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Input Parameters

Parameter	Type	Required	Default	Description
searchUrl	String	No	https://www.infojobs.net/jobsearch/search-results/list.xhtml	Base search URL whose query parameters are used as filters.
results_wanted	Integer	No	20	Maximum number of items to save.
max_pages	Integer	No	5	Maximum number of pages to request.
proxyConfiguration	Object	No	{ "useApifyProxy": false }	Optional proxy settings for reliability.

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Output Data

Each dataset item can contain the following fields:

Field	Type	Description
id	String	Unique offer identifier.
title	String	Job title.
description_text	String	Cleaned formatted description text.
description_html	String	Sanitized HTML description using basic tags (p, br, strong, ul, li).
city	String	Offer location city.
offer_url	String	Absolute offer link.
application_origin	String	Application origin label from offer URL.
contract_type	String	Contract type label.
workday	String	Workday/journey label.
teleworking	String	Work modality.
published_at	String	Publication timestamp.
company_name	String	Company name.
company_url	String	Company profile URL.
salary_min	Number	Minimum salary value when available.
salary_max	Number	Maximum salary value when available.
salary_period	String	Salary period (for example year).
salary_currency	String	Salary currency code.
salary_type	String	Salary type (for example gross).
states	Array	Offer state tags.
upsellings	Array	Listing promotion tags.
executive	Boolean	Executive offer flag.
newbo_id	String	Internal offer identifier.
search_page	Number	Source page number.
sort_by	String	Sorting mode used for the run.
since_date	String	Publication window used for the run.
only_foreign_country	Boolean	Foreign-country flag used for the run.

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Usage Examples

Basic Run

{
  "results_wanted": 20,
  "max_pages": 5
}

URL-Driven Run

{
  "searchUrl": "https://www.infojobs.net/jobsearch/search-results/list.xhtml?keyword=java&sortBy=PUBLICATION_DATE&sinceDate=_24_HOURS",
  "results_wanted": 30,
  "max_pages": 6
}

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Sample Output

{
  "id": "6acc847e4b435aa2e4daed9ab3f673",
  "title": "Senior Software Developer C++",
  "description_text": "MISION DEL PUESTO\\nRealizara de manera cualificada...",
  "description_html": "<p><strong>MISION DEL PUESTO</strong><br>Realizara de manera cualificada...</p>",
  "city": "Madrid",
  "offer_url": "https://www.infojobs.net/madrid/senior-software-developer-c/of-i6acc847e4b435aa2e4daed9ab3f673",
  "contract_type": "Indefinido",
  "teleworking": "Hibrido",
  "published_at": "2026-03-24T10:22:10Z",
  "company_name": "Example Company",
  "salary_min": 45000,
  "salary_max": 60000,
  "salary_currency": "EUR",
  "executive": false,
  "search_page": 1,
  "sort_by": "PUBLICATION_DATE",
  "since_date": "ANY",
  "only_foreign_country": false
}

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Tips for Best Results

Start Small

• Begin with results_wanted: 20 for quick validation.
• Increase volume once your workflow is confirmed.

Tune Filters

• Put filter parameters directly in searchUrl to control keyword, date, sorting, and location.

Control Runtime

• Use max_pages as a safety cap.
• Keep results_wanted and max_pages aligned to your expected output size.

Improve Reliability

• Enable proxy configuration for larger or scheduled runs.
• Re-run with narrower filters if source-side throttling appears.

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Integrations

Connect scraped data with:

• Google Sheets — Build tracking dashboards.
• Airtable — Create searchable recruiting tables.
• Make — Automate post-processing and notifications.
• Zapier — Trigger workflows after each run.
• Webhooks — Send data to your own services.

Export Formats

• JSON — Developer-friendly structured output.
• CSV — Spreadsheet analysis.
• Excel — Business reporting.
• XML — System-to-system integrations.

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Frequently Asked Questions

How many offers can I collect?

You can collect as many as available within your configured results_wanted and max_pages limits.

Can I run this daily?

Yes. It is suitable for scheduled runs and recurring monitoring workflows.

Why are some salary fields missing?

Some listings do not publish compensation data, so salary fields may be absent in those records.

Can I target specific keywords?

Yes. Add the keyword parameter directly in searchUrl.

Does this include duplicate prevention?

Yes. Duplicate offer IDs are skipped during a run.

Why are some fields not present in every item?

Empty values are removed from each output item to keep records clean.

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Support

For issues or feature requests, use your Apify actor issue workflow.

Resources

• Apify Documentation
• Apify API Reference
• Apify Scheduling

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Legal Notice

This actor is intended for legitimate data collection and analysis. You are responsible for complying with website terms, local regulations, and applicable data-use policies.