InfoJobs Scraper [Just 💰$0.63] — Jobs, Salaries & Employers

What does InfoJobs Scraper do?

InfoJobs Scraper extracts structured job data from infojobs.net — including salary data, apply URLs, company metadata, and descriptions. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time.

How to use this actor

• 👉 Register for a free Apify account — no credit card required.
• 🎉 Just click Sign up free on Apify → and complete a quick signup.
• 💰 A free Apify account includes $5 in monthly credits — enough to test this actor.
• ⏳ Scrape during the free trial, with no commitment or upfront payment required.

Key features

• 💰 Structured salary: structured salaryMin, salaryMax, salaryCurrency and salary on every job.
• 🏢 Employer details: company, companyUrl, companyName and companyLogo name the employer behind each job.
• 💼 Employment type and work mode: contractType as fields, so you can filter jobs without reading the text.
• 📇 Contact details: extractedEmails contains emails published in job descriptions. Optional enrichEmails discovers contactEmail from employer websites on a best-effort basis.
• 🔖 Labels and sponsored flags: isNew show how infojobs.net labels and promotes each job.
• 🗓️ Posting dates: publishedAt and firstSeenAt tell you how fresh each job is.
• 🔍 Keyword search: search infojobs.net by keyword with query and by Spanish province name or ID with location, for example Madrid or 33.
• 🔗 Paste-mode: paste infojobs.net URLs into startUrls to scrape exactly the pages you picked in the browser.
• ♻️ Incremental mode: recurring runs emit only NEW / UPDATED / REAPPEARED records — UNCHANGED and EXPIRED are opt-in. First run builds the baseline; subsequent runs emit and charge only for the diff. Pair with notifications for daily "new jobs" alerts to your hiring team. Saves 80–95% on daily monitoring.
• 🔔 Notifications: Telegram, Slack, Discord, WhatsApp Cloud API, generic webhook — out of the box. Pair with incremental + notifyOnlyChanges for daily "new Infojobs jobs" pings to your hiring channel.

What data can you extract from infojobs.net?

Each result includes Core job fields (id, url, portalUrl, language, country, title, city, and location, and more), extended fields (descriptionHtml, descriptionText, descriptionMarkdown, description, and detailFetched), apply information (applyUrl), and company metadata (company, companyUrl, companyName, and companyLogo). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — Job search keywords, e.g. "desarrollador". Required if no startUrls provided.
• location — Spanish province names or InfoJobs province IDs, separated by commas. Examples: Madrid, A Coruña, La Coruña, 33 or 33,8. Names ignore case and accents. Leave empty for all provinces. Unknown names stop the run with input guidance before searching.
• maxResults — Maximum total results (0 = unlimited). (default: 100)
• startUrls — Paste raw search URLs from the target site. Each URL becomes its own search task; results are merged and deduped by job ID across all URLs. When provided, startUrls REPLACE the query/location fields (each supported URL becomes one task; unsupported URLs are skipped, and if none is supported the run stops with an input error). (default: [])
• descriptionMaxLength — Truncate description to N chars. 0 = no truncation. (default: 0)
• compact — Core fields only (for AI-agent/MCP workflows). (default: false)
• descriptionFormat — Which description representations to emit. all keeps description + descriptionText + descriptionHtml + descriptionMarkdown (default, back-compat). text / html / markdown keep only one variant — typically halves output size. (default: "all")
• excludeEmptyFields — Drop null / empty-string / empty-array fields (and fully-null nested objects like socialProfiles) from each output record. Off by default to preserve dataset schema compatibility; turn on to slim output for LLM / agent consumption. (default: false)
• incrementalMode — Compare against previous run state. stateKey is optional — defaults to a value derived from search inputs (queries, provinces, startUrls) so different filter sets never share state. (default: false)
• stateKey — Optional. Stable identifier for the tracked search universe. Leave empty to auto-generate from search inputs.
• emitUnchanged — Also emit jobs that have not changed since the last run (incrementalMode only). (default: false)
• emitExpired — Also emit jobs that have disappeared since the last run (incrementalMode only). (default: false)
• ...and 21 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "desarrollador",
  "maxResults": 50
}

Incremental tracking — Only emit jobs that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "desarrollador",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "desarrollador-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "query": "desarrollador",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example job record

{
  "id": "523269c6884e328cfe72c53966c8ae",
  "url": "https://www.infojobs.net/madrid/analista-desarrollador-appian-teletrabajo/of-i523269c6884e328cfe72c53966c8ae",
  "portalUrl": "https://www.infojobs.net/madrid/analista-desarrollador-appian-teletrabajo/of-i523269c6884e328cfe72c53966c8ae",
  "source": "infojobs.net",
  "language": "es",
  "country": "ES",
  "title": "Analista Desarrollador/a Appian (Teletrabajo)",
  "company": "Factum IT",
  "companyUrl": "https://www.infojobs.net/factum-it/em-i98565355555555709799111009035642114043",
  "city": "Madrid",
  "location": "Madrid",
  "workMode": "Remote",
  "contractType": "Contrato indefinido",
  "workSchedule": "Jornada completa",
  "salaryCurrency": "EUR",
  "isFeatured": true,
  "isNew": false,
  "isExecutive": false,
  "publishDate": "2026-10-22",
  "publishDateISO": "2026-10-22T08:30:04Z",
  "daysOld": 2,
  "applyUrl": "https://www.infojobs.net/madrid/analista-desarrollador-appian-teletrabajo/of-i523269c6884e328cfe72c53966c8ae",
  "descriptionHtml": "<pre>Sobre nosotros\nEn Factum llevamos más de 15 años prestando servicios tecnológicos, de ciberseguridad, ciberinteligencia y servicios gestionados a más de 100 clientes. Nos caracterizamos por un bu...",
  "descriptionText": "Sobre nosotros\nEn Factum llevamos más de 15 años prestando servicios tecnológicos, de ciberseguridad, ciberinteligencia y servicios gestionados a más de 100 clientes. Nos caracterizamos por un buen am...",
  "descriptionMarkdown": "Sobre nosotros\nEn Factum llevamos más de 15 años prestando servicios tecnológicos, de ciberseguridad, ciberinteligencia y servicios gestionados a más de 100 clientes. Nos caracterizamos por un buen am...",
  "contentHash": "a612088c723cce76cce42d2dee1fb0d11daecabdab92cdb19a079bb6a4b9ccdc",
  "scrapedAt": "2026-10-24T18:48:51.381Z",
  "isRepost": false,
  "code": "523269c6884e328cfe72c53966c8ae",
  "description": "Sobre nosotros\nEn Factum llevamos más de 15 años prestando servicios tecnológicos, de ciberseguridad, ciberinteligencia y servicios gestionados a más de 100 clientes. Nos caracterizamos por un buen am...",
  "link": "https://www.infojobs.net/madrid/analista-desarrollador-appian-teletrabajo/of-i523269c6884e328cfe72c53966c8ae?applicationOrigin=search-new&page=1&sortBy=RELEVANCE",
  "workday": "Jornada completa",
  "teleworking": "Solo teletrabajo",
  "publishedAt": "2026-10-22T08:30:04Z",
  "companyName": "Factum IT",
  "companyLogo": "https://multimedia-logos.infojobs.net/image/upload/0c/0cc264e9-0d27-4bef-a905-a34105e43889",
  "companyLink": "https://www.infojobs.net/factum-it/em-i98565355555555709799111009035642114043",
  "states": [
    "REUSED"
  ],
  "upsellings": [
    "BUMP_WEEKLY",
    "PROMOTED"
  ],
  "executive": false,
  "newBOId": "04d91188-2557-47a8-8250-f077656b38fb",
  "entityName": "Factum IT",
  "listingId": "b00c287c68e7a60d7222cee8a8ca93012626fb59a152f7368ea88d8d064fdad4",
  "searchQuery": "desarrollador",
  "contentQuality": "full",
  "detailFetched": false
}

Incremental fields

When incremental mode is on, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape infojobs.net

1. Go to InfoJobs Scraper in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set maxResults to control how many results you need.
4. Click Start and wait for the run to finish.
5. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract job data from infojobs.net for market research and competitive analysis.
• Track salary trends across regions and categories over time.
• Monitor new and changed jobs on scheduled runs without processing the full dataset every time.
• Auto-apply or feed apply URLs into your ATS / hiring pipeline.
• Research company hiring patterns, employer profiles, and industry distribution.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape infojobs.net?

InfoJobs Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.00063 per run
• Per result: $0.00063 per job record

Example costs:

• 10 results: $0.00693
• 25 results: $0.016
• 100 results: $0.064
• 200 results: $0.13
• 500 results: $0.32

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of jobs that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 250 jobs per run, daily polling (30 runs/month). Costs scale linearly with the number of jobs.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.16	$0.00851	$0.15 (95%)	$0.26
15% — moderate broad query	$0.16	$0.02	$0.13 (85%)	$0.73
30% — high-volume aggregator	$0.16	$0.05	$0.11 (70%)	$1.44

Full re-scrape monthly cost at the same cadence: $4.74. First month with incremental costs $0.40 / $0.86 / $1.55 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage is included in the per-result fee shown above.

FAQ

How many results can I get from infojobs.net?

The number of results depends on the search query and available jobs on infojobs.net. Use the maxResults parameter to control how many results are returned per run.

Does InfoJobs Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed jobs on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate InfoJobs Scraper with other apps?

Yes. InfoJobs Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use InfoJobs Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use InfoJobs Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode, descriptionMaxLength, a single descriptionFormat, and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape infojobs.net?

This actor extracts publicly available data from infojobs.net. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.

Source fields and normalized fields

Full output retains the original source fields for compatibility: code, link, workday, teleworking, publishedAt, companyName, companyLink, companyLogo, executive, entityName, salary and description. These overlap with normalized fields such as id, url, workSchedule, workMode, publishDateISO, company, companyUrl, isExecutive, the structured salary fields and descriptionText. Source labels and nested salary data remain available for consumers that need them. Use compact: true for core fields with fewer duplicate columns. excludeEmptyFields removes empty values; it does not remove populated source fields.

Disclaimer

This actor accesses only publicly available data on infojobs.net. You are responsible for how you use the extracted data — in particular any personal information such as names, phone numbers, or email addresses — and for complying with InfoJobs's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction.

This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by InfoJobs or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

Search keywords

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