Job & Recruitment Data Scraping

Job portals, company career pages, and selected recruitment websites carry structured information about open positions. A project can be scoped around the specific sources and fields your requirement calls for, rather than treating every job site the same way.

Collection depends on the source and the project defined for it: selected job portals, defined recruitment websites, and the fields agreed for the dataset.

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Depending on the source and project requirements, job data can include:

• Job title
• Company name
• Location
• Employment type
• Work mode (such as remote or on-site, where stated)
• Salary, where displayed
• Experience level
• Skills
• Job description and details
• Posted date
• Job URL
• Other publicly displayed recruitment fields

Which fields are available depends on what a given source publishes.

Each job posting can be represented as one record with a consistent set of fields, rather than a page of loose text. A job-level record keeps the same fields in the same place, listing after listing. That typically means source information, location, employment details, skills or experience, and dates, where a source displays them.

A project may pull listings from more than one place at once: a job board alongside a company’s own career page, for example, or several recruitment websites covering the same region.

The sources, locations, and job categories are defined by the project. Coverage reflects the sources actually selected, not every job board or career page that exists.

Job title, company name, company URL, industry, and company description, where a listing or career page displays them.

City, state or region, country, remote status, and employment type, for postings where those details are given.

Skills, qualifications, experience level, education, and responsibilities, as listed in the posting itself.

Salary or salary range, currency, and pay period, where a source publishes that information alongside the listing.

Posted date, job URL, and category, where the source displays them alongside the listing.

Once collected, job listings are organized into a structured dataset for the format the project requires. Possible delivery formats include:

• CSV
• Excel
• JSON
• API
• Database

The final structure is defined around the fields, source requirements, and how the dataset will be used downstream.

A single collection fits projects that need a defined dataset at one point in time. Common examples include:

• Job market research
• Recruitment research
• Competitor hiring research
• Job listing collection
• Employer or job posting research

Where job postings need to be checked again over time, the same sources and fields are revisited according to the schedule defined for the project, rather than as a single pull.

A single job listing can carry several distinct fields at once. The illustration below shows the types of fields that can be pulled from a listing like that and organized into a structured record. The company names, locations, salary ranges, skills, dates, and URLs shown are illustrative examples used to demonstrate the kind of data involved, not verified or current job data.

This type of project tends to support requirements such as:

• Job market research
• Recruitment research
• Employer research
• Hiring trend research
• Competitor hiring research
• Structured job databases

Before scoping the work, it helps to define:

• Target job portals or websites
• Company career pages, where applicable
• Locations
• Job categories
• Required fields
• Whether the need is one-time or recurring
• Preferred output format
• Any source-specific requirements

Once these are defined, we can review the requirement and confirm an approach for the project.

Request a Data Collection Project