Grainger Data: 3 MRO Catalogs with UNSPSC, 250K Products from Cromwell
Full MRO catalogs from Grainger, Fastenal and Cromwell for a product content company: UNSPSC, EAN, every attribute and a taxonomy sheet.
Job Scraping Services
Get up-to-date job listings from Glassdoor, Indeed, ZipRecruiter, or any other platform with our job scraping services. We deliver the data in a clean, consistent format - ready for analysis, recruitment acceleration, or product use.
Plans from €169 a month · Free project assessment · Reply within 1 business day
CSV · Excel · JSON · XML · FTP · SFTP · Amazon S3 · Google Cloud
Job Market Data We Scrape12 fields
- Job Title
- Job Description
- Job Category
- Employment Type
- Date Published
- Valid Through
- Company Name
- Company URL
Delivery
API, JSON feed or CSV, XLSX and JSON files
ScheduleOne-time, monthly, weekly, daily or 3 times a day
Who Uses Our Job Scraping Services
Discuss your data needs
Staffing AgenciesRecruiting PlatformsHR Tech CompaniesJob MarketplacesTalent Intelligence TeamsLabor Market AnalystsB2B Data ProvidersEnterprise HR DepartmentsCompensation Benchmarking PlatformsAI & ML Teams
25Developers
500+Customers
1.5BPages extracted
15,000+Hours saved for our clients
Top Purposes for Job Web Data Collection
Our job scraping services collect structured vacancy data from job boards, company career pages, and recruiting platforms - whether mainstream or niche. Use this data to build products, support research, or improve internal hiring operations.
01
Talent Market Mapping
Understand demand by role, skill, location, and industry using structured vacancy data collected with a job board scraper.
02
Competitor Hiring Tracking
Use continuous monitoring to see who’s hiring, for what positions, and how often across any set of companies.
03
Salary Benchmarking
Analyze compensation ranges across roles, regions, and experience levels based on live job listings and make accurate salary comparisons.
04
Job Search Platform Enrichment
Fill your product with real, up-to-date listings - complete with metadata, filters, and structure.
05
Demand Forecasting
Track hiring trends to anticipate shifts in workforce needs, skill demand, or regional growth.
06
Unified Job Feed
Job scraping helps consolidate listings from multiple job boards into a single, structured stream or dashboard.
07
ATS / CRM Enrichment
Feed your internal tools with external vacancy data obtained through precise parsing to complete candidate or client profiles.
08
Hiring Process Optimization
Use aggregated job data to streamline recruitment workflows, reduce time-to-hire, and improve hiring efficiency across teams.
Job Market Data We Scrape
We collect structured and up-to-date job market data from leading job boards and recruitment platforms. Use this data to analyze hiring demand, track open positions, monitor competitor compensation, power job aggregators, and generate qualified leads across industries and regions.
Contact usOne record12 fields
- job_titleJob Title
- job_descriptionJob Description
- job_categoryJob Category
- employment_typeEmployment Type
- date_publishedDate Published
- valid_throughValid Through
- company_nameCompany Name
- company_urlCompany URL
- job_locationJob Location
- base_salaryBase Salary
- compensation_detailsCompensation Details
- job_posting_urlJob Posting URL
Popular Job Boards We Scrape
Global job boards 17
- Ashby scraper
- Behance scraper
- Careerjet scraper
- eFinancialCareers scraper
- Fiverr scraper
- Freelancer scraper
- Glassdoor scraper
- Google Jobs scraper
- Greenhouse scraper
- Indeed scraper
- Monster scraper
- Remote OK scraper
- Remote.co scraper
- Toptal scraper
- Upwork scraper
- We Work Remotely scraper
- Wellfound scraper
United States & Canada 10
Europe 12
Asia-Pacific 5
Pricing to Suit Any Data Extraction Project
Expertly customized web scraping services at a fraction of the cost of developing your own software.
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan detailsLatest case studies
Charter Flight Data from 12 Danish Tour Operators: a Pilot in 2 Weeks
A paid pilot for a regional airport in Scandinavia: direct charter departures from 12 Danish tour operator sites, sampled in two weeks.
bol.com Seller Data: 72,961 Sellers with KvK, VAT and Address
Every seller shop on bol.com with its trade name, business address, KvK and VAT number, collected once: 72,961 shops in 18 days.
Amazon Seller Data: 51K B2B Leads with Business Name and Address
A one-time B2B lead file from Amazon seller profiles: 51,216 sellers with business name and address, 13,366 of them in the US and Canada.
Sahibinden Land Listings: 226K Plots for Sale, Plus 86K from HepsiEmlak
Land for sale across Turkey from Sahibinden and HepsiEmlak for a land investor: 226,000 plots in the first file and 86,200 HepsiEmlak rows.
Allegro Competitor Prices: The 5 Cheapest Offers per EAN, Live in 6 Days
The five cheapest Allegro.pl offers for every EAN on a list the client uploaded each day, with delivery cost and date, running six days after sign-off.
Key Benefits of the ScrapeIt Job Scraper
Faster Launch
We launch your data collection fast - setup takes just a few days, no developers needed on your side.
Truly Scalable
Collect millions of listings from multiple sources. The system handles high volumes and complex websites without issues.
Built for Reliability
We keep scrapers running, adapt to site changes, and make sure your data arrives on time.
Cost-Effective
Get large-scale data extraction without the cost of building and maintaining tools in-house.
Hands-Free
You don’t need to hire a team - we handle scraper setup, data extraction, formatting, and delivery.
Clean, Accurate Data
Our job scraper delivers clean, complete, and ready-to-use data for your tools, dashboards, or analytics.
From our blog
Learn how to use web scraping to solve data problems for your organization
5 UK Job Sites to Scrape in 2026: From Totaljobs to Find a job
Five UK job sites worth scraping in 2026 - Totaljobs, CV-Library, Reed, Adzuna and the DWP's Find a job: what each ad shows, what only that site adds, and how to merge them without counting one vacancy twice.
Data Scraping vs Web Scraping: What Is the Difference
Data scraping is the wide term that includes documents, scans and old screens; web scraping is the part that works on websites. We compare sources, daily work, output and cost drivers, give a briefing checklist and walk through two of our projects.
How Artificial Intelligence Is Used In Web Scraping
Leveraging advances in technology, the AI-powered web scraper has skyrocketed in demand and is helping to expand capabilities by automating tedious daily tasks and speeding up data collection from thousands of websites several times over.
FAQ
Still unsure? Write to info@scrapeit.io
What is the best way to get job postings data without building scrapers?
Use a managed scraping service: we build, run and maintain the scrapers for the job boards and career pages you name, and deliver clean postings data on your schedule, with no code on your side. We cover 40+ job boards - vacancies, salary ranges, employer profiles and hiring trends - and assess any other public source for free. A one-time dataset of up to 100,000 rows costs EUR 199 and comes as CSV, Excel or JSON. Monthly plans cost from EUR 169 a month plus a one-off EUR 499 setup fee that includes the sample dataset and the first month, and can also deliver through our API or as a JSON feed. First data usually arrives in 1-10 days.
How will I receive the data?
We can export job data in CSV, Excel, JSON, JSONLines, or XML formats. Choose what works best for you - our API, a JSON feed, FTP, SFTP, Dropbox, Google Drive, Amazon S3, or direct email. An MCP server is available on request.
Is there a limit on how many job postings I can get from different platforms?
No limits. Our data extraction services scale to your needs - from thousands to millions of listings across job boards, aggregators, and employer websites.
What kind of data can you scrape?
Our web scraper collects all types of public job-related data - including job titles, descriptions, locations, salaries, company info, reviews, and tech stacks - from online job boards, career web pages, and recruiting platforms across the internet.
How do you manage my scraping project?
Our automation system runs the entire process. We build, test, and operate crawlers in our cloud environment, monitor performance through defined endpoints, and deliver structured job data on schedule.
How fast can I get data from job sites?
It depends on the number and complexity of job platforms. Most projects are completed in just a few days - our company will give you a clear timeline.
Do you offer technical support?
Yes. Our team provides professional technical support throughout the entire scraping process, taking care of any technical issues so you can focus on your main business tasks.
How do you ensure stable and accurate data collection?
Our parsers use secure proxies to extract data from job boards and career sites reliably. We apply advanced data mining techniques and maintain automated pipelines to ensure accuracy and consistency across sources.
Do I need to install or configure anything?
No setup is required on your side. Everything runs in our cloud - you define the job platforms and data fields, we handle the rest.
Can you scrape multiple job boards at the same time?
Yes. Our infrastructure is built for parallel scraping from multiple job boards and company career pages - helping you track how each brand hires and evolves.
Can we sign an NDA?
Absolutely. We're happy to sign an NDA to ensure confidentiality and protect your business interests.
How often can you deliver fresh job data from platforms?
We offer daily, weekly, or monthly delivery schedules - or a custom timeline that fits your workflow. You'll always have fresh listings from the platforms you care about.
How it works
- 1
Make a request
You share your needs, expectations, and desired timeframe. We'll suggest the best solution based on your request and budget.
- 2
We configure the crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
- 3
Collect and deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
- 4
Maintain and support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Request a quote
Tell us which sites, which fields and how often. A couple of lines is enough to start.
- We reply within 1 business day
- A sample dataset before the full run
- We sign an NDA on request
- Delivery by API, JSON feed or files