# InfoJobs Job Detail Scraper - Low-cost๐ฒ๐ฅ๐ผ๐ช๐ธ (`delectable_incubator/infojobs-job-detail-scraper-low-cost`) Actor
Looking to collect job data from InfoJobs.net? ๐ผ๐ This InfoJobs Job Scraper extracts complete job offer information including job title, company name, location, salary, employment type, requirements, description, posting date and URL. Ideal for lead generation and job data automation ๐
- **URL**: https://apify.com/delectable\_incubator/infojobs-job-detail-scraper-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Jobs, Automation, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $0.00005 / actor start
This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
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
---
## ๐ช๐ธ๐ผ InfoJobs Job Detail Scraper ๐ | Bulk Job URL Scraper | Apify Actor
### ๐ Extract Complete InfoJobs Job Details in Seconds (No Code)
The **InfoJobs Job Detail Scraper (Apify Actor)** is a powerful, scalable and SEO-optimized scraping tool designed to extract complete job offer details directly from InfoJobs job pages.
Unlike search-based scrapers, this actor works with individual InfoJobs job URLs and returns rich structured datasets containing job descriptions, company information, salary details, requirements, contract information, applicants count and more.
Perfect for recruiters, HR teams, staffing agencies, job boards, AI training datasets, salary intelligence and labor market analytics.
---
### ๐ฅ Why This InfoJobs Job Detail Scraper?
โ Best InfoJobs Job Detail Scraper on Apify
โ Bulk URL scraping support (SEO BOOST ๐)
โ Extract complete job descriptions
โ Company and recruitment intelligence
โ Structured JSON / CSV / Excel output
โ Ideal for HR analytics & job market research
โ Fast & scalable extraction engine
โ No coding required
---
### ๐ฏ What This Scraper Does
This Apify Actor extracts detailed job offer information directly from InfoJobs job pages.
#### ๐ Core Features
โ
Scrape InfoJobs job detail pages
โ
Bulk URL processing
โ
Extract full job descriptions
โ
Extract salary & compensation data
โ
Extract company information
โ
Extract work mode (Remote / Hybrid / On-site)
โ
Extract education & experience requirements
โ
Extract applicants & vacancies data
โ
Extract company ratings
โ
Clean structured output datasets
โ
High-speed extraction engine
---
### โก Input Configuration
#### ๐ฅ BULK URL MODE (SEO BOOST ๐)
````
{
"urls": \[
"https://www.infojobs.net/madrid/tester-funcional-medios-pago/of-i076466e6a3487481d9ac377d1c8985",
"https://www.infojobs.net/madrid/comercial-prl-madrid/of-i2463335c05406491960e556086a75e",
"https://www.infojobs.net/barcelona/desarrollador-java/of-i123456789",
"https://www.infojobs.net/valencia/data-analyst/of-i987654321"
]
}
```
---
### ๐ Extracted Job Data
| Field | Description |
| --------------- | ------------------------- |
| title | Job title |
| company | Company name |
| location | Job location |
| workMode | Remote / Hybrid / On-site |
| salary | Salary information |
| minExperience | Required experience |
| contractType | Contract type |
| workSchedule | Working schedule |
| minStudies | Education requirements |
| minRequirements | Job requirements |
| description | Full job description |
| category | Job category |
| subcategory | Job subcategory |
| level | Seniority level |
| vacancies | Number of vacancies |
| totalApplicants | Number of applicants |
| postedAt | Publication date |
| republished | Republished status |
| companyRating | Company rating |
| companyLogoUrl | Company logo |
| companyUrl | Company profile |
| sourceUrl | Original job URL |
---
### ๐ก Use Cases (High Demand SEO Keywords)
This InfoJobs scraper is ideal for:
๐ผ Job scraping Spain
๐ Labor market intelligence
๐ Salary benchmarking
๐ฏ Recruitment automation
๐ข Hiring trend analysis
๐ค AI training datasets
๐ก Job aggregation platforms
๐ง HR analytics
๐ Talent acquisition research
โก Bulk job data extraction
---
### ๐ Key Features
โก Bulk URL scraping support
๐ช๐ธ Spain job market coverage
๐ Detailed job-level extraction
๐ง Structured datasets
๐ High-speed scraping engine
๐ Auto retry system
๐พ Export-ready data
โ๏ธ Cloud scalable infrastructure
---
### ๐ค Output Formats Supported
โ JSON
โ CSV
โ Excel XLSX
โ XML
โ HTML
---
### ๐ฆ Example Output
```
{
"title": "Tester Funcional (Medios de Pago)",
"company": "Aubay",
"location": "Madrid (Madrid)",
"workMode": "Solo teletrabajo",
"salary": "Salario no disponible",
"minExperience": "Al menos 3 aรฑos",
"contractType": "Contrato indefinido",
"workSchedule": "Jornada completa",
"minStudies": "Ciclo Formativo Grado Medio",
"category": "Informรกtica y telecomunicaciones",
"subcategory": "Anรกlisis",
"level": "Empleado/a",
"vacancies": 1,
"companyRating": "4.3",
"companyUrl": "https://aubay.ofertas-trabajo.infojobs.net",
"sourceUrl": "https://www.infojobs.net/job-url"
}
````
---
### ๐ฅ Why This is the BEST InfoJobs Job Detail Scraper on Apify?
โ Optimized for Apify marketplace ranking
โ Bulk URL support
โ Complete job description extraction
โ Rich company metadata
โ Enterprise-ready scalability
โ Structured datasets for analytics
โ Perfect for recruitment intelligence
โ Built for large-scale data collection
---
### ๐ธ Pricing
This scraper runs on a **pay-per-result pricing model**.
You only pay for successfully extracted records.
๐ณ **Price:** $9.98 / 1,000 results
---
### โ FAQ (SEO BOOST SECTION)
#### Can I scrape multiple InfoJobs job URLs at once?
Yes. Bulk URL mode is fully supported.
#### Can I extract complete job descriptions?
Yes. Full job descriptions are extracted.
#### Does it extract salary information?
Yes, whenever salary data is available.
#### Can I collect company ratings?
Yes. Company ratings are included when available.
#### Is coding required?
No. This is a fully no-code Apify Actor.
#### Can I export data?
Yes. JSON, CSV, Excel, XML and HTML are supported.
---
### โ ๏ธ Disclaimer
This project is an independent scraping tool and is not affiliated with, endorsed by, or sponsored by InfoJobs.
---
### ๐ Related Actors (Job Intelligence Ecosystem)
Explore more PrimeScrape job scraping solutions:
โข InfoJobs Jobs Scraper ๐ช๐ธ
โข InfoJobs BR Jobs Scraper ๐ง๐ท
โข Foundit Jobs Scraper ๐ฎ๐ณ
โข Catho Jobs Scraper ๐ง๐ท
โข JobTeaser Jobs Scraper ๐ซ๐ท
โข TimesJobs Scraper ๐ฎ๐ณ
โข Shine Jobs Scraper ๐ฎ๐ณ
โข Rekrute Jobs Scraper ๐ฒ๐ฆ
โข Workday Jobs Scraper ๐
โข RemoteOK Jobs Scraper ๐
โข Naukri Jobs Scraper ๐ฎ๐ณ
โข ZipRecruiter Jobs Scraper ๐บ๐ธ
โข USA Jobs Scraper ๐บ๐ธ
โข Reed Jobs Scraper ๐ฌ๐ง
โข NHS Jobs Scraper ๐ฌ๐ง
---
### ๐ PrimeScrape Ecosystem
Built for data scraping, automation, AI datasets, lead generation and market intelligence at scale.
๐ Job market data
๐ข Company intelligence
๐ Market analytics
๐ค AI datasets
โ๏ธ Automation workflows
๐ Recruitment intelligence
---
### ๐ฌ Support
โญโญโญโญโญ Leave a review if you enjoy this scraper.
๐ฉ Need custom scraping solutions or enterprise-scale data extraction?
Contact PrimeScrape directly through Apify.
# Actor input Schema
## `urls` (type: `array`):
List of InfoJobs job offer detail page URLs to scrape. One result per URL.
Examples:
โข https://www.infojobs.net/madrid/tester-funcional-medios-pago/of-i076466e6a3487481d9ac377d1c8985
โข https://www.infojobs.net/madrid/comercial-prl-madrid/of-i2463335c05406491960e556086a75e
โ ๏ธ URLs must be from infojobs.net.
## Actor input object example
```json
{
"urls": [
"https://www.infojobs.net/madrid/tester-funcional-medios-pago/of-i076466e6a3487481d9ac377d1c8985?applicationOrigin=search-new&page=1&sortBy=PUBLICATION_DATE",
"https://www.infojobs.net/madrid/comercial-prl-madrid/of-i2463335c05406491960e556086a75e?applicationOrigin=search-new&page=1&sortBy=PUBLICATION_DATE",
"https://www.infojobs.net/estepa/analista-datos-business-analyst-data-business-intelligence/of-i95e554be61494b8685b27252676ca8?applicationOrigin=search-new&page=1&sortBy=RELEVANCE",
"https://www.infojobs.net/mairena-del-aljarafe/administrativo-analista-datos-access-alto/of-i4d78fc8ac54a09a0e9a8ebfdb75c6c?applicationOrigin=search-new&page=1&sortBy=RELEVANCE"
]
}
````
# Actor output Schema
## `overview` (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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"urls": [
"https://www.infojobs.net/madrid/tester-funcional-medios-pago/of-i076466e6a3487481d9ac377d1c8985?applicationOrigin=search-new&page=1&sortBy=PUBLICATION_DATE",
"https://www.infojobs.net/madrid/comercial-prl-madrid/of-i2463335c05406491960e556086a75e?applicationOrigin=search-new&page=1&sortBy=PUBLICATION_DATE",
"https://www.infojobs.net/estepa/analista-datos-business-analyst-data-business-intelligence/of-i95e554be61494b8685b27252676ca8?applicationOrigin=search-new&page=1&sortBy=RELEVANCE",
"https://www.infojobs.net/mairena-del-aljarafe/administrativo-analista-datos-access-alto/of-i4d78fc8ac54a09a0e9a8ebfdb75c6c?applicationOrigin=search-new&page=1&sortBy=RELEVANCE"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/infojobs-job-detail-scraper-low-cost").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`๐พ 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);
});
// ๐ Want to learn more ๐? Go to โ 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.infojobs.net/madrid/tester-funcional-medios-pago/of-i076466e6a3487481d9ac377d1c8985?applicationOrigin=search-new&page=1&sortBy=PUBLICATION_DATE",
"https://www.infojobs.net/madrid/comercial-prl-madrid/of-i2463335c05406491960e556086a75e?applicationOrigin=search-new&page=1&sortBy=PUBLICATION_DATE",
"https://www.infojobs.net/estepa/analista-datos-business-analyst-data-business-intelligence/of-i95e554be61494b8685b27252676ca8?applicationOrigin=search-new&page=1&sortBy=RELEVANCE",
"https://www.infojobs.net/mairena-del-aljarafe/administrativo-analista-datos-access-alto/of-i4d78fc8ac54a09a0e9a8ebfdb75c6c?applicationOrigin=search-new&page=1&sortBy=RELEVANCE",
] }
# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/infojobs-job-detail-scraper-low-cost").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"urls": [
"https://www.infojobs.net/madrid/tester-funcional-medios-pago/of-i076466e6a3487481d9ac377d1c8985?applicationOrigin=search-new&page=1&sortBy=PUBLICATION_DATE",
"https://www.infojobs.net/madrid/comercial-prl-madrid/of-i2463335c05406491960e556086a75e?applicationOrigin=search-new&page=1&sortBy=PUBLICATION_DATE",
"https://www.infojobs.net/estepa/analista-datos-business-analyst-data-business-intelligence/of-i95e554be61494b8685b27252676ca8?applicationOrigin=search-new&page=1&sortBy=RELEVANCE",
"https://www.infojobs.net/mairena-del-aljarafe/administrativo-analista-datos-access-alto/of-i4d78fc8ac54a09a0e9a8ebfdb75c6c?applicationOrigin=search-new&page=1&sortBy=RELEVANCE"
]
}' |
apify call delectable_incubator/infojobs-job-detail-scraper-low-cost --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=delectable_incubator/infojobs-job-detail-scraper-low-cost",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "InfoJobs Job Detail Scraper - Low-cost๐ฒ๐ฅ๐ผ๐ช๐ธ",
"description": "Looking to collect job data from InfoJobs.net? ๐ผ๐ This InfoJobs Job Scraper extracts complete job offer information including job title, company name, location, salary, employment type, requirements, description, posting date and URL. Ideal for lead generation and job data automation ๐",
"version": "0.0",
"x-build-id": "tn4DAyA0flzaLXYaQ"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/delectable_incubator~infojobs-job-detail-scraper-low-cost/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-delectable_incubator-infojobs-job-detail-scraper-low-cost",
"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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/delectable_incubator~infojobs-job-detail-scraper-low-cost/runs": {
"post": {
"operationId": "runs-sync-delectable_incubator-infojobs-job-detail-scraper-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/delectable_incubator~infojobs-job-detail-scraper-low-cost/run-sync": {
"post": {
"operationId": "run-sync-delectable_incubator-infojobs-job-detail-scraper-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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",
"required": [
"urls"
],
"properties": {
"urls": {
"title": "InfoJobs Job Detail URLs ๐ผ",
"type": "array",
"description": "List of InfoJobs job offer detail page URLs to scrape. One result per URL.\n\nExamples:\nโข https://www.infojobs.net/madrid/tester-funcional-medios-pago/of-i076466e6a3487481d9ac377d1c8985\nโข https://www.infojobs.net/madrid/comercial-prl-madrid/of-i2463335c05406491960e556086a75e\n\nโ ๏ธ URLs must be from infojobs.net.",
"items": {
"type": "string"
}
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```