InfoJobs Scraper — Spanish Job Listings & Salaries
Pricing
Pay per usage
InfoJobs Scraper — Spanish Job Listings & Salaries
Scrape job listings from InfoJobs.net, Spain's #1 job board. Search by keyword, location, and filters. Extract titles, companies, salaries, contract types, and descriptions. No login or cookies required.
Pricing
Pay per usage
Rating
0.0
(0)
Developer
Studio Amba
Actor stats
0
Bookmarked
2
Total users
1
Monthly active users
4 days ago
Last modified
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Scrape single-page in TypeScript template
A template for scraping data from a single web page in TypeScript (Node.js). The URL of the web page is passed in via input, which is defined by the input schema. The template uses the Axios client to get the HTML of the page and the Cheerio library to parse the data from it. The data are then stored in a dataset where you can easily access them.
The scraped data in this template are page headings but you can easily edit the code to scrape whatever you want from the page.
Included features
- Apify SDK - a toolkit for building Actors
- Input schema - define and easily validate a schema for your Actor's input
- Dataset - store structured data where each object stored has the same attributes
- Axios client - promise-based HTTP Client for Node.js and the browser
- Cheerio - library for parsing and manipulating HTML and XML
How it works
-
Actor.getInput()gets the input where the page URL is defined -
axios.get(url)fetches the page -
cheerio.load(response.data)loads the page data and enables parsing the headings -
This parses the headings from the page and here you can edit the code to parse whatever you need from the page
$("h1, h2, h3, h4, h5, h6").each((_i, element) => {...}); -
Actor.pushData(headings)stores the headings in the dataset
Resources
- Web scraping in Node.js with Axios and Cheerio
- Web scraping with Cheerio in 2023
- Video tutorial on building a scraper using CheerioCrawler
- Written tutorial on building a scraper using CheerioCrawler
- Integration with Zapier, Make, Google Drive, and others
- Video guide on getting scraped data using Apify API
- A short guide on how to build web scrapers using code templates:
Getting started
For complete information see this article. To run the Actor use the following command:
$apify run
Deploy to Apify
Connect Git repository to Apify
If you've created a Git repository for the project, you can easily connect to Apify:
- Go to Actor creation page
- Click on Link Git Repository button
Push project on your local machine to Apify
You can also deploy the project on your local machine to Apify without the need for the Git repository.
-
Log in to Apify. You will need to provide your Apify API Token to complete this action.
$apify login -
Deploy your Actor. This command will deploy and build the Actor on the Apify Platform. You can find your newly created Actor under Actors -> My Actors.
$apify push
Documentation reference
To learn more about Apify and Actors, take a look at the following resources:
- Apify SDK for JavaScript documentation
- Apify SDK for Python documentation
- Apify Platform documentation
- Join our developer community on Discord
Support and maintenance
This Actor is actively maintained by Studio Amba. We monitor health daily and fix breaking changes within 24 hours.
- Found a bug? Open an issue on the Issues tab — we reply within one business day.
- Need a schema change? Request it in the issues tab; most field additions ship within a week.
- Need a custom integration? Reach out via studioamba.dev for tailored scraping solutions.
About Studio Amba
We build reliable, production-grade scrapers for European websites. Our actors share a common core:
- No cookies, no login — public data only, no account management headaches
- Fast APIs over headless browsers where possible — lower cost, higher throughput
- Proactive health monitoring — we watch every actor 24/7 and ship fixes before you notice
Changelog
See commit history in the GitHub repo for a full changelog of bug fixes and schema changes.