AiJobs.net Scraper

What does AiJobs.net Scraper do?

AiJobs.net Scraper collects public job listings from aijobs.net and saves them as structured dataset records. Enter the AiJobs.net home page, a listing URL, or a direct job URL, then optionally add a keyword and location to find relevant AI, machine learning, data, and software roles.

The output includes job titles, companies, locations, salary information, seniority, employment type, skills, tasks, perks, education, role labels, geographic breakdowns, descriptions, and application links when those details are published on the source page. Use the dataset for hiring intelligence, recruiting research, compensation benchmarking, skills analysis, job-board monitoring, or AI talent market reports.

Why use AiJobs.net Scraper?

• Targeted job discovery - Search by keyword and location, or start from a public AiJobs.net URL.
• Rich job records - Review role requirements, skills, responsibilities, perks, education, seniority, salary details, and application paths.
• Market research - Compare hiring activity across countries, states, regions, and cities.
• Recruiting workflows - Find companies hiring for specific technologies and build structured outreach lists.
• Compensation analysis - Collect published salary ranges and related salary fields when available.
• Flexible collection size - Use a small result limit for testing, or increase the limit and page depth for a larger dataset.
• Automation-ready output - Download results as JSON, CSV, Excel, XML, and other Apify dataset formats, or connect runs to downstream workflows.

What data can you extract from AiJobs.net?

The Actor removes empty values from each record. Fields can vary because job pages do not all publish the same information.

Field	Type	Description
title	String	Job title.
company	String	Hiring company name.
company_profile_url	String	Public company profile URL when available.
company_slug	String	Company slug from the public profile path.
company_id	String	Company identifier when available.
location	String	Primary job location.
locations	Array of strings	Combined location values found on the job page.
salary	String	Human-readable salary text or badge.
salary_currency	String	Salary currency from structured job data when available.
salary_unit	String	Salary period such as year or month when available.
salary_min	Number	Minimum structured salary value.
salary_max	Number	Maximum structured salary value.
salary_value	Number	Fixed structured salary value when available.
level	String	Seniority or experience-level label.
employment_type	String	Primary employment type.
employment_types	Array of strings	All employment-type labels shown on the page.
posted_ago	String	Relative posting-age text shown by AiJobs.net.
date_posted	String	Publication date from structured job data when available.
valid_through	String	Closing or validity date from structured job data when available.
skills	Array of strings	Skills and technology labels.
tasks	Array of strings	Tasks or responsibilities listed on the page.
perks	Array of strings	Perks and benefits.
education	Array of strings	Education labels or requirements.
roles	Array of strings	Related role labels.
regions	Array of strings	Region labels.
countries	Array of strings	Country labels.
states	Array of strings	State or province labels.
cities	Array of strings	City labels.
apply_url	String	Public application URL when available.
apply_path	String	Relative application path shown on the source site.
apply_id	String	Application-path identifier when available.
identifier	String	Job identifier from the source page.
description_text	String	Plain-text job description or summary.
url	String	Direct AiJobs.net job URL.
source	String	Source identifier, returned as aijobs.net.

Some records can also include structured fields such as company_url, company_logo, job_location_type, industry, direct_apply, qualifications, responsibilities, education_requirements, and experience_requirements.

How to scrape AiJobs.net data

1. Open AiJobs.net Scraper in Apify Console.
2. Enter a public AiJobs.net home, listing, or job URL.
3. Add a keyword, location, or both when you want more targeted results.
4. Set results_wanted and max_pages for the size and depth of the run.
5. Start the Actor, review the dataset preview, and download or connect the results.

When a direct job URL is provided, the Actor focuses on that job page. When a listing URL is provided, it follows available listing pages until it reaches the page limit or requested result count.

Input Parameters

Parameter	Type	Required	Default	Description
url	String	No	"https://aijobs.net/"	Public AiJobs.net home page, listing URL, or direct job URL.
keyword	String	No	"python"	Keyword used to discover matching roles, skills, or topics.
location	String	No	""	Location used to narrow results by country, state, city, or region.
results_wanted	Integer	No	20	Maximum number of job records to save. Minimum value is 1.
max_pages	Integer	No	5	Maximum number of listing pages to request. Minimum value is 1.
proxyConfiguration	Object	No	{"useApifyProxy": false}	Optional Apify Proxy configuration for collection reliability.

Usage Examples

Basic job collection

Collect the default set of jobs from the AiJobs.net home page.

{
  "url": "https://aijobs.net/",
  "results_wanted": 20,
  "max_pages": 5
}

Keyword and location search

Find data engineering roles associated with Germany and collect up to 30 matching records.

{
  "url": "https://aijobs.net/",
  "keyword": "data engineer",
  "location": "Germany",
  "results_wanted": 30,
  "max_pages": 6
}

Direct listing URL

Start from a public AiJobs.net listing or category URL when you already know the page you want to collect.

{
  "url": "https://aijobs.net/jobs/api/",
  "results_wanted": 25,
  "max_pages": 4
}

Direct job URL

Collect the details available on one public job page.

{
  "url": "https://aijobs.net/job/frontier-ai-research-lead-georgetown-university-main-campus-walsh-school-of-foreign-service-500-first-st-nw-7th-floor-74243/"
}

Sample Output

The following example shows a representative dataset item. Fields that are not published by a particular job page are omitted from that record.

{
  "title": "Senior / Lead Data Engineer (24x7 Data & AI Factory)",
  "company": "Devoteam",
  "company_profile_url": "https://aijobs.net/company/devoteam-317/",
  "company_slug": "devoteam",
  "company_id": "317",
  "location": "Kraków, Poland",
  "locations": [
    "Kraków, Poland",
    "Kraków, Lesser Poland, PL",
    "Lesser Poland, PL",
    "Poland",
    "Europe"
  ],
  "salary": "PLN 258K-370K (estimate)",
  "level": "Senior-level",
  "employment_type": "Full Time",
  "employment_types": ["Full Time"],
  "posted_ago": "17h ago",
  "skills": ["Airflow", "Apache Spark", "DBT", "Data Observability"],
  "tasks": ["Build AI models", "Build data pipelines", "Improve data observability"],
  "perks": ["Conference attendance", "Hybrid work model", "Private medical healthcare"],
  "education": ["Bachelor of Engineering", "Bachelor of Science"],
  "roles": ["Data Engineer", "Lead Data Engineer", "Senior Data Engineer"],
  "regions": ["Europe"],
  "countries": ["Poland"],
  "states": ["Lesser Poland, PL"],
  "cities": ["Kraków, Lesser Poland, PL"],
  "apply_url": "https://aijobs.net/job/1zBHEnUHQOy3wjW/apply/",
  "apply_id": "1zBHEnUHQOy3wjW",
  "identifier": "89359",
  "description_text": "Advise junior team members; Build AI models; Build data pipelines; Improve data observability; Transform data; Troubleshoot data pipelines;",
  "url": "https://aijobs.net/job/senior-lead-data-engineer-24x7-data-ai-factory-krakow-poland-89359/",
  "source": "aijobs.net"
}

Tips for Best Results

• Start small - Test with results_wanted: 20 before increasing the result count or page limit.
• Use precise keywords - Terms such as machine learning engineer, computer vision, data scientist, or MLOps usually produce more focused results than broad terms.
• Add a location - Use a country, state, city, or region to reduce unrelated results and compare local hiring demand.
• Use a suitable page limit - Increase max_pages for broader discovery, but keep it aligned with the number of results you need.
• Review source availability - Salary, application links, education, perks, and other fields only appear when the job page provides them.
• Schedule repeat runs - Daily or weekly runs can help track newly posted roles and changing hiring patterns.

Integrations

• Google Sheets - Review and share job datasets with a recruiting or research team.
• Airtable - Maintain a searchable hiring database with custom views and filters.
• Webhooks - Send completed run notifications or dataset links to another service.
• Make or Zapier - Route new job data into alerts, CRM workflows, or reporting systems.
• Apify API - Retrieve run status and dataset items from an application or scheduled workflow.

Export Formats

Apify datasets can be downloaded as JSON, CSV, Excel, XML, and other supported formats. JSON works well for application workflows, CSV and Excel work well for analysis, and XML is useful for systems that require structured feeds.

Frequently Asked Questions

Can I run the Actor with only a keyword?

Yes. Provide keyword and leave location empty when you want keyword-based job discovery across the available listings.

Can I filter jobs by location?

Yes. Add a country, state, city, region, or other location phrase through location. The Actor uses the available public location data to narrow matching records.

Can I provide a direct AiJobs.net job URL?

Yes. Set url to the public job page. The resulting record contains the details that are available on that page.

Why are some fields missing?

Some listings do not publish salary, perks, education, application details, or other fields. Missing values reflect source-page availability, and empty values are omitted from the dataset.

How many jobs can I collect?

The requested total is controlled by results_wanted, while max_pages limits how many listing pages the Actor can request. The number of available matching jobs and the source page determine the final total.

Can I run this Actor on a schedule?

Yes. Create a schedule in Apify Console to run the Actor hourly, daily, weekly, or at another interval that fits your monitoring workflow.

Is it legal to collect AiJobs.net data?

Public web data collection can be subject to website terms, privacy rules, and local laws. You are responsible for using the output lawfully, respecting applicable restrictions, and handling personal data appropriately.

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• Learn4Good Job Scraper - Collect worldwide job postings and teaching opportunities from Learn4Good.

Support

For issues, feature requests, or source-page changes, use the Issues or support options on the Actor page in Apify Console.

Legal Notice

This Actor is intended for legitimate data collection, hiring research, and market analysis. Users are responsible for complying with AiJobs.net terms, applicable laws, privacy requirements, and any restrictions related to the data they collect or redistribute.