JB
Job listing data
Role titles, employers, locations, job descriptions, posting dates and employment types.
Jobs & recruitment data intelligence
AI-powered jobs & recruitment data scraping
Turn public hiring activity into structured intelligence for recruitment research, talent mapping, skills analysis and workforce planning.
Public job listings offer a valuable view of market demand. We create structured datasets around roles, employers, locations, skills and posting activity so recruitment and workforce teams can see trends without manual collection.
From public pages to useful data
What is jobs & recruitment data scraping?
Public job listings offer a valuable view of market demand. We create structured datasets around roles, employers, locations, skills and posting activity so recruitment and workforce teams can see trends without manual collection.
Cigma combines tailored extraction logic with AI-assisted mapping and validation where appropriate. The objective is a dependable dataset that fits your research, commercial or operational workflow—not an unstructured collection of raw pages.
Data we extract
Build the dataset your team actually needs
Every project starts with a field map. We collect only publicly available information that is relevant to your use case, then normalize it into an agreed structure.
SK
Skills data
Required skills, qualifications, technologies, experience levels and recurring role requirements.
EM
Employer data
Public employer profiles, hiring activity and company-facing job information.
LC
Location data
Cities, regions, remote-work labels and geographic hiring signals.
SL
Salary data
Public salary or compensation ranges where the source exposes them.
TR
Trend data
Posting volume, role-family, skill and employer trend fields for analysis.
From data to decisions
Jobs & Recruitment intelligence use cases
The same public data can answer different business questions. We define collection and output around the decisions your team needs to make.
TM
Talent market mapping
Benchmark hiring activity by employer, role family, location or industry.
SI
Skills intelligence
Identify recurring requirements and emerging demand for skills or technologies.
CM
Competitor monitoring
Follow public hiring patterns at selected competitors or peer groups.
WP
Workforce planning
Use public demand signals to inform location, role and capacity research.
RM
Recruitment research
Build market datasets for sourcing, strategy and advisory work.
DA
Data enrichment
Normalize public job information into a consistent talent-market taxonomy.
AI-powered extraction
A more structured route from page to dataset
AI can help identify page context, map relevant values to defined fields and validate records against agreed rules. We use it as part of a practical workflow—not as an unsupported promise of fully autonomous collection.
- Understand the source and required field structure
- Extract relevant publicly available information
- Validate, normalize and remove duplicates where required
- Structure records to match your agreed schema
- Deliver data in the format and frequency you need
Public web sources
Custom workflows for the sources you need
We assess public job boards, employer career pages and other public hiring sources around the roles, markets and fields relevant to your research.
We do not claim support for a source until the required workflow has been assessed.
Who uses this data
Useful across specialist teams
- Recruitment and staffing businesses
- HR and workforce-planning teams
- Talent intelligence platforms
- Market research and consulting firms
- Education and training providers
- Investment and labor-market research teams
Flexible delivery
Get data in the format you need
Your delivery method should fit the people and systems using the data. We can prepare structured outputs for one-time or scheduled delivery.
- CSV, Excel, JSON and XML files
- API or database-ready delivery
- Cloud storage and custom data feeds
- One-time datasets or scheduled updates
- Field normalization based on your schema
How Cigma works
A transparent data workflow
01
Define requirements
Share the public sources, fields, geography and update frequency that matter to your team.
02
Design the workflow
We assess source feasibility and configure an extraction and data-structure approach.
03
Extract and validate
Public information is collected, normalized and checked against the agreed data rules.
04
Deliver the dataset
Receive a sample or feed in the agreed format so your team can begin using the information.
05
Monitor and update
For recurring needs, the workflow can be maintained and run on an agreed schedule.
06
Refine as you learn
Add or refine fields as your commercial, research or product questions evolve.
Explore more data intelligence
Related AI-powered web scraping solutions
Explore the AI-powered web scraping service hub or review other industry data solutions: E-commerce, Travel & Tourism, Food Delivery, Entertainment, Finance, News & Media, Real Estate.
Frequently asked questions
Jobs & Recruitment data scraping FAQs
What is jobs data scraping?
It is the structured collection of publicly available job listing, employer, skill and labor-market information.
Can data be collected from multiple job sources?
Yes. A workflow can be scoped around relevant public job boards and employer pages, subject to source feasibility.
Can recruitment data be organized by location and skill?
Yes. We can structure agreed public fields around location, role family, employer and skill taxonomies.
How is data delivered?
We can prepare agreed datasets for CSV, Excel, JSON, XML, API, database or cloud-storage delivery.
Is public web data collection legal?
Each project should be assessed individually. We focus on publicly available information while considering applicable laws, privacy requirements, contractual restrictions and website terms.
How do we get started?
Share the public sources, fields, geography and refresh frequency you need. We will help define a practical scope.