# InfoJobs Jobs Scraper — Spain, Salaries, Descriptions, $0.80/1K (`northbell/infojobs-jobs-scraper`) Actor

InfoJobs.net jobs scraper for Spain: title, company, city, salary as min/max with period and gross/net, contract type, working hours, on-site/hybrid/remote, description, posting date — plus which jobs are new since your last run. Search by keyword and province. No login.

- **URL**: https://apify.com/northbell/infojobs-jobs-scraper.md
- **Developed by:** [Northbell](https://apify.com/northbell) (community)
- **Categories:** Jobs, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.64 / 1,000 jobs

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## InfoJobs Jobs Scraper

**Stop re-checking InfoJobs by hand: get only the new jobs for your searches every morning** — in a sheet, Slack or your own job board. Search InfoJobs (Spain) by keyword, location or a pasted search URL and get every matching job as clean JSON with the salary split into min / max / interval; schedule it and each run marks **which jobs are new since your last run**.

### How "new since last run" works

The Actor remembers which jobs each search returned last time. A job it has not seen before is marked `isNewSinceLastRun: true`.
If the whole search fits within **Max jobs**, the comparison is exact and jobs that disappeared come back as `type: "closed"` rows. If the search is bigger than Max jobs, a job only counts as new when it was also posted after your previous run — so an old job that merely moved into view is never reported as new.

Filters (title, location text, salary, remote) never change the comparison, so changing a filter never makes jobs look new.

### What you get

| Field | |
|---|---|
| `title`, `company`, `location` | as listed (location is the city) |
| `salaryMin`, `salaryMax`, `salaryCurrency`, `salaryInterval`, `salaryBasis` | as InfoJobs publishes it — per year / month / hour, `gross` or `net`; `null` when not published |
| `contractType`, `workday` | e.g. "Contrato indefinido", "Jornada completa" |
| `workplaceType`, `remote` | Presencial / Híbrido / Solo teletrabajo |
| `description` | the text InfoJobs sends with search results (very long ones are cut at 4,000 characters) |
| `postedAt`, `isPromoted` | publication date, and whether it is a paid promoted offer |
| `companyUrl`, `companyLogo` | the company's InfoJobs page and logo |
| `isNewSinceLastRun` | `true` / `false`, or `null` on the first run (unknown, not "old") |
| `jobUrl` | link to the job on InfoJobs |
| `search` | which of your searches returned it |

### Input

Put one search per line in **Searches** (e.g. `camarero`) and optionally a **Province** (e.g. `Madrid`). Or set the filters on the site and paste the result page into **Search URLs** (e.g. `https://www.infojobs.net/jobsearch/search-results/list.xhtml?keyword=contable&provinceIds=33`) — every filter the site has then applies. Many searches in one run are cheaper than one run each.

A search the site refuses comes back as an `error` row and the run carries on.

### Example output

One real row from a test run (long text shortened here with …).

```json
{
  "type": "job",
  "provider": "infojobs",
  "search": "camarero",
  "searchLocation": "madrid",
  "jobId": "3a0bbfc92f491bb3587bfd551bbbee",
  "title": "CAMARERO/A RESTAURANTE MAJADAHONDA",
  "company": "EL UROGALLO",
  "location": "Majadahonda",
  "salaryMin": 1500,
  "salaryMax": 1700,
  "salaryCurrency": "EUR",
  "salaryInterval": "month",
  "salaryBasis": "gross",
  "contractType": "Contrato indefinido",
  "workday": "Jornada completa",
  "workplaceType": "Presencial",
  "remote": false,
  "description": "El Urogallo, reconocida empresa asturiana de hostelería, en expansión, no ha dejado de crecer y evolucionar desde 1996, apostando firmemente por la gastronomía …",
  "postedAt": "2026-09-30T14:44:10.000Z",
  "isPromoted": true,
  "jobUrl": "https://www.infojobs.net/majadahonda/camarero-restaurante-majadahonda/of-i3a0bbfc92f491bb3587bfd551bbbee",
  "companyUrl": "https://elurogallo.ofertas-trabajo.infojobs.net",
  "companyLogo": "https://multimedia-logos.infojobs.net/image/upload/f0/f0c01dc5-8041-46bc-86e2-040c74e3fbb9",
  "isNewSinceLastRun": false
}
```

### Get only the new jobs every morning (3 steps)

1. Open this Actor in Apify Console, fill in your searches, set **What to return** to **Only jobs that are new since the last run**, and click **Save as a new task**.
2. On the task, add a **Schedule** — for example daily at 07:00.
3. Open the task's **Integrations** tab and connect **Slack**, **email**, **Google Sheets** (or Zapier / Make / a webhook). Each morning you get only the new jobs.

You pay only for the new jobs plus $0.01 per run, so a quiet day costs about a cent. When you export by hand, pick the **Jobs** view: 13 tidy columns, title first, instead of every raw field.

### Pricing

**$0.80 per 1,000 jobs**, plus $0.01 per run. Closed-job rows and errors are free. With **Only jobs that are new since the last run**, a daily schedule only pays for the new ones.

### For AI agents

For a fast answer call with `{"searches": ["camarero"], "maxJobsPerSearch": 20}` — a few seconds. The defaults (up to 200 jobs) can take about a minute, which is longer than many agent tool timeouts. Each row has `type`: `job`, `closed` or `error`. `isNewSinceLastRun: null` means "no previous run to compare with".

### More job scrapers from northbell

Job sites: [SEEK](https://apify.com/northbell/seek-jobs-scraper) · [JobStreet](https://apify.com/northbell/jobstreet-jobs-scraper) · [JobsDB](https://apify.com/northbell/jobsdb-jobs-scraper) · [Instahyre](https://apify.com/northbell/instahyre-jobs-scraper) · [Reed](https://apify.com/northbell/reed-jobs-scraper) · [InfoJobs](https://apify.com/northbell/infojobs-jobs-scraper) · [XING](https://apify.com/northbell/xing-jobs-scraper) · [Dice](https://apify.com/northbell/dice-jobs-scraper) · [HelloWork](https://apify.com/northbell/hellowork-jobs-scraper) · [Computrabajo](https://apify.com/northbell/computrabajo-jobs-scraper) · [Foundit](https://apify.com/northbell/foundit-jobs-scraper) · [jobs.ch](https://apify.com/northbell/jobs-ch-scraper) · [jobup.ch](https://apify.com/northbell/jobup-ch-scraper) · [Arbeitsagentur](https://apify.com/northbell/arbeitsagentur-jobs-scraper) · [Arbeitnow](https://apify.com/northbell/arbeitnow-jobs-scraper).

Company career pages with exact new/closed tracking: [Greenhouse](https://apify.com/northbell/greenhouse-jobs-scraper) · [Lever](https://apify.com/northbell/lever-jobs-scraper) · [Workday](https://apify.com/northbell/workday-jobs-scraper) · [AI companies](https://apify.com/northbell/ai-jobs-scraper).

# Actor input Schema

## `searches` (type: `array`):

One search per line, the same words you would type on InfoJobs — e.g. "camarero". Many searches in one run cost one start fee.

## `startUrls` (type: `array`):

Or paste search result URLs from InfoJobs — set any filters on the site first, then copy the address, e.g. https://www.infojobs.net/jobsearch/search-results/list.xhtml?keyword=contable\&provinceIds=33. Each URL is its own search.

## `location` (type: `string`):

A Spanish province, e.g. "Madrid", "Barcelona", "Valencia". Leave empty for all of Spain.

## `postedWithinDays` (type: `integer`):

Only jobs posted in the last N days. Leave empty for all.

## `workArrangements` (type: `array`):

Same as the teletrabajo filter on InfoJobs.

## `output` (type: `string`):

Schedule this Actor daily and pick "Only new" to get a cheap new-jobs feed. The first run returns everything (there is nothing to compare with yet).

## `titleKeywords` (type: `string`):

Comma-separated. Keep jobs whose title contains any of these, e.g. "senior, lead".

## `locationKeywords` (type: `string`):

Comma-separated. Filters the returned jobs by their location text.

## `withSalaryOnly` (type: `boolean`):

Keep only jobs whose salary could be read as a number.

## `remoteOnly` (type: `boolean`):

Keep only jobs the site marks as remote.

## `trackChanges` (type: `boolean`):

Remembers which jobs each search returned, so the next run can mark new ones (and closed ones, when the whole search fits in Max jobs).

## `maxJobsPerSearch` (type: `integer`):

Caps what you pay for: $0.80 per 1,000 jobs. Newest first on InfoJobs.

## Actor input object example

```json
{
  "searches": [
    "camarero",
    "python"
  ],
  "output": "all",
  "withSalaryOnly": false,
  "remoteOnly": false,
  "trackChanges": true,
  "maxJobsPerSearch": 50
}
```

# Actor output Schema

## `all` (type: `string`):

No description

## `jobs` (type: `string`):

No description

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searches": [
        "camarero",
        "python"
    ],
    "maxJobsPerSearch": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("northbell/infojobs-jobs-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "searches": [
        "camarero",
        "python",
    ],
    "maxJobsPerSearch": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("northbell/infojobs-jobs-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "searches": [
    "camarero",
    "python"
  ],
  "maxJobsPerSearch": 50
}' |
apify call northbell/infojobs-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,northbell/infojobs-jobs-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/RxjCcRzGdUyarZRi7/builds/iRMNg64mZkAteCksc/openapi.json