InfoJobs Jobs Scraper

InfoJobs Jobs Scraper

Extract job offers from InfoJobs.net, Spain's largest job board, with a single search URL.

Turn any InfoJobs keyword, location, or date-range search into structured job data — titles, full descriptions, salaries, contract type, and teleworking status across 26 output fields.

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Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor.

parsebird/infojobs-jobs-scraper on Apify. Call: ApifyClient("TOKEN").actor("parsebird/infojobs-jobs-scraper").call(run_input={...}), then client.dataset(run["defaultDatasetId"]).list_items().items for results. Key inputs: searchUrl (string, an InfoJobs search URL, e.g. "https://www.infojobs.net/jobsearch/search-results/list.xhtml?keyword=java&sortBy=PUBLICATION_DATE&sinceDate=_24_HOURS", default is the unfiltered InfoJobs listing page), results_wanted (integer, max unique job offers to save, default 20), max_pages (integer, max search-results pages to process, default 5), proxyConfiguration (object, optional Apify Proxy settings, default {"useApifyProxy": false}). Output fields per job: id, title, description_text, description_html, city, offer_url, application_origin, contract_type, workday, teleworking, published_at, company_name, company_url, salary_min, salary_max, salary_period, salary_currency, salary_type, states, upsellings, executive, newbo_id, search_page, sort_by, since_date, only_foreign_country. Full actor spec: fetch via GET https://api.apify.com/v2/acts/parsebird~infojobs-jobs-scraper (Bearer TOKEN). Get token: https://console.apify.com/account/integrations

What does InfoJobs Jobs Scraper do?

InfoJobs Jobs Scraper collects structured job offer data from InfoJobs.net, Spain's largest job board, using any InfoJobs search URL as input. It reads every filter already encoded in the URL — keyword, location, sort order, publication date, foreign-country toggle — and returns clean, ready-to-use job data without any browser automation.

Use it as an InfoJobs API alternative to pull Spanish job market data into JSON, CSV, or Excel. No coding required — paste a search URL, set how many offers you want, and click Start. Or call it through the Apify API to automate recurring job data collection.

• 🔍 Any InfoJobs search — keyword, category, province, contract type, remote work, salary range — anything encoded in the search URL is respected
• 📄 Full job descriptions — both plain text and HTML-formatted versions, fetched from each offer's detail page
• 💶 Structured salary data — minimum, maximum, period, currency, and gross/net type, parsed out of InfoJobs' own salary ranges
• 🏠 Remote work status — on-site, hybrid, or fully remote (teleworking), plus contract type and workday/schedule
• 🏢 Company details — employer name and InfoJobs company profile URL
• 📅 Recency filters — pass sinceDate in the search URL to pull only jobs posted in the last 24 hours, week, or month
• 🔄 Scheduling and monitoring — run daily or weekly with Apify scheduling to track new postings
• 🔗 API access and integrations — connect to Google Sheets, Zapier, Make, webhooks, or any workflow via the Apify API

What data can you extract from InfoJobs?

Field	Description
id	Unique InfoJobs offer identifier
title	Job title
description_text	Full job description as plain text
description_html	Job description with basic HTML formatting
city	City or location of the offer
offer_url	Absolute URL of the InfoJobs offer
contract_type	Contract type (e.g. Indefinido, Temporal)
workday	Work schedule (e.g. Completa, Parcial)
teleworking	Remote, hybrid, on-site, or other modality
published_at	Publication timestamp
company_name	Employer name
company_url	Employer profile URL on InfoJobs
salary_min / salary_max	Salary range, when published
salary_period / salary_type	Anual/Mensual and Bruto/Neto
states	Offer status tags (e.g. NEW, REUSED)
executive	Whether the offer is marked as an executive role

How to scrape InfoJobs

1. Go to InfoJobs.net and build a search with the filters you want (keyword, location, sort order, date range)
2. Copy the resulting URL from your browser's address bar
3. Open the InfoJobs Jobs Scraper page on Apify Store and click Try for free
4. Paste the URL into the Search URL field
5. Set Results wanted and Max pages to control run size and cost
6. Optionally enable Apify Proxy for larger or recurring runs
7. Click Start and wait for the run to finish
8. Download your data in JSON, CSV, Excel, or connect via the Apify API

Python API example

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run = client.actor("parsebird/infojobs-jobs-scraper").call(run_input={
    "searchUrl": "https://www.infojobs.net/jobsearch/search-results/list.xhtml?keyword=java&sortBy=PUBLICATION_DATE&sinceDate=_24_HOURS",
    "results_wanted": 50,
    "max_pages": 10,
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{item['title']} — {item['company_name']} — {item.get('city')}")

JavaScript API example

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "YOUR_API_TOKEN" });

const run = await client.actor("parsebird/infojobs-jobs-scraper").call({
    searchUrl: "https://www.infojobs.net/jobsearch/search-results/list.xhtml?keyword=java&sortBy=PUBLICATION_DATE&sinceDate=_24_HOURS",
    results_wanted: 50,
    max_pages: 10,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.log(`${item.title} — ${item.company_name} — ${item.city ?? "N/A"}`);
});

Input parameters

Parameter	Type	Required	Default	Description
searchUrl	string	No	https://www.infojobs.net/jobsearch/search-results/list.xhtml	InfoJobs search URL whose supported query parameters define the search
results_wanted	integer	No	20	Maximum number of unique job offers to save. Minimum value is 1
max_pages	integer	No	5	Maximum number of search-results pages to process. Minimum value is 1
proxyConfiguration	object	No	{ "useApifyProxy": false }	Optional Apify Proxy settings for request reliability

Output example

{
  "id": "6acc847e4b435aa2e4daed9ab3f673",
  "title": "Senior Software Developer C++",
  "description_text": "MISION DEL PUESTO\nRealizara de manera cualificada las funciones del puesto.",
  "description_html": "<p><strong>MISION DEL PUESTO</strong><br>Realizara de manera cualificada las funciones del puesto.</p>",
  "city": "Madrid",
  "offer_url": "https://www.infojobs.net/madrid/senior-software-developer-c/of-i6acc847e4b435aa2e4daed9ab3f673",
  "application_origin": "search-new",
  "contract_type": "Indefinido",
  "workday": "Completa",
  "teleworking": "Híbrido",
  "published_at": "2026-07-30T10:22:10Z",
  "company_name": "Example Company",
  "company_url": "https://www.infojobs.net/example-company/em-i123456789",
  "salary_min": 45000,
  "salary_max": 60000,
  "salary_period": "Anual",
  "salary_currency": "EUR",
  "salary_type": "Bruto",
  "states": ["ACTIVE"],
  "upsellings": [],
  "executive": false,
  "newbo_id": "987654321",
  "search_page": 1,
  "sort_by": "PUBLICATION_DATE",
  "since_date": "_24_HOURS",
  "only_foreign_country": false
}

Download results in JSON, HTML, CSV, or Excel.

Use cases

• 📊 Job market analysis — track salary ranges, contract types, and remote-work adoption across roles and cities in Spain
• 🧭 Recruitment sourcing — monitor new postings for specific keywords or categories as they go live
• 🏢 Competitor hiring intelligence — watch which companies are hiring, for which roles, and at what pace
• 📈 Salary benchmarking — collect published salary ranges by role, contract type, or location
• 🔄 Recurring monitoring — schedule daily or weekly runs with sinceDate filters to catch only new offers
• 🔗 Data pipeline integration — feed job data into a warehouse, spreadsheet, or BI dashboard via the Apify API

How it works

1. Parses the searchUrl you provide, preserving every InfoJobs query parameter (keyword, sort, date range, foreign-country toggle)
2. Requests each search-results page (page=1, page=2, …) up to max_pages, reading the job offer list embedded in the page
3. Stops pagination early once results_wanted unique offers are collected or a page returns no offers
4. Fetches each offer's own detail page to pull the full HTML/plain-text description, contract type, workday, and teleworking status
5. Normalizes salary data into minimum, maximum, period, currency, and gross/net type
6. Pushes each job offer to the Apify dataset, deduplicated by offer ID

How much does it cost to scrape InfoJobs?

Event	Price per event	Price per 1,000
job-offer-scraped (Free plan)	$0.0009	$0.90
job-offer-scraped (Bronze/Silver/Gold plans)	$0.0008	$0.80

One event is charged each time a job offer is successfully scraped and saved to the dataset — you only pay for offers actually returned. Apify offers a free trial with platform credits, enough to scrape thousands of job offers at no cost.

FAQ

Do I need to build a search URL myself? Yes — search on InfoJobs.net, apply the filters you want, and copy the resulting URL into the searchUrl input. Any InfoJobs query parameter the site accepts (keyword, sortBy, sinceDate, onlyForeignCountry, category, province, and more) is passed through unchanged.

How fresh is the data? Data is fetched fresh on every run directly from InfoJobs. Use sinceDate=_24_HOURS (or _7_DAYS, etc.) in your search URL to limit results to recently posted jobs.

Why do I need max_pages and results_wanted? max_pages caps how many search-results pages are requested; results_wanted caps how many unique offers are saved. The run stops as soon as either limit is hit, so you control cost and runtime precisely.

Does this scraper fetch full job descriptions? Yes. Each offer's own detail page is fetched to retrieve the complete description (both plain text and HTML), not just the summary shown on the search-results page.

Do I need Apify Proxy? Not for typical runs. proxyConfiguration is optional and can help reliability on larger or more frequent runs.

Can I schedule recurring runs? Yes. Use Apify scheduling to run daily or weekly, combined with a sinceDate filter in your search URL to collect only new postings each time.

Can I access the data via API? Yes. Every run produces a dataset accessible via the Apify API, usable from Python, JavaScript, Google Sheets, Zapier, Make, or any HTTP-capable tool.

Is it legal to scrape InfoJobs?

This Actor extracts publicly available data from InfoJobs.net. Scraping public data is generally considered legal based on recent court rulings, including the US Ninth Circuit's decision in hiQ Labs v. LinkedIn. However, users are responsible for ensuring their use of scraped data complies with applicable laws, InfoJobs' Terms of Service, and data protection regulations including GDPR. Do not use extracted personal data for unsolicited contact or purposes incompatible with the original collection context. For more information, read Apify's blog post on web scraping legality.

Other job scrapers on Apify

Browse all ParseBird actors, including other job board scrapers, on the Apify Store.