Our CareerBuilder scraper services deliver clean, structured job-market intelligence in seconds, empowering you to act faster than competitors and make data-backed hiring or sales decisions. With the data from Scrapeit, you receive a ready-to-use dataset — no code, no API headaches, just reliable output dropped straight into the format you already use.
Forget rigid APIs and one-size-fits-all SaaS dashboards — Scrapeit writes a custom CareerBuilder data scraper for your exact brief. Tell us the job attributes you need, the update frequency you want and the delivery format that fits your stack; we build the crawler, host it, monitor for site changes and hand you CSV, JSON, SQL dumps or direct-to-warehouse loads on schedule.
Because every scraper is purpose-built, you avoid throttling limits, captchas and missing fields that plague off-the-shelf tools. Our engineers handle proxy rotation, anti-bot evasion, incremental diffing and quality assurance, while support stays on call 24/7. The result is zero setup on your side, predictable costs and data that lands ready for analysis — letting your analysts start modelling salaries or your CRM start enriching leads minutes after import. In other words: you ask, we scrape, you profit — no wasted sprints, no vendor lock-in, no learning curve.
Our parser captures every data point you need to rebuild a live vacancy in your own system. We extract job titles exactly as posted, normalise company names and pull company-profile URLs, and geocode the listed city and country so you can map openings geographically. Salary figures — fixed amounts or low-to-high ranges — are parsed, cleaned and tagged with currency so your analytics stay precise.
We also harvest the full textual description, responsibilities and requirements, stripping HTML but preserving list structure for NLP. The original publish date and any subsequent update date are recorded, making freshness analysis straightforward. Finally, we deliver canonical links to the apply button and direct application forms, letting you funnel candidates straight to the employer or trigger automated outreach campaigns from your ATS. Each field is time-stamped and versioned so changes in compensation, wording or location can be tracked over time.
Need richer context? The CareerBuilder.com scraper can also pull employer ratings and written reviews so you can correlate satisfaction with wage levels. Employment-type flags — full-time, part-time, contract, internship — are captured for accurate talent-pool segmentation, while industry, skill and experience tags help you slice the market by vertical.
We detect mentions of perks such as health insurance, remote allowance, stock options or on-site meals, and record them in a structured benefits table that feeds compensation-to-benefits comparisons. Contact methods are resolved as separate fields: recruiter email, platform messaging link, phone number or external ATS portal. Where visible, we log view counts or application counters to gauge listing performance. These auxiliary signals turn a raw vacancy feed into a ready-made dataset for competitiveness scoring, employer-branding analysis and targeted outreach.
Founded in 1995 and headquartered in Chicago, CareerBuilder is one of the web’s longest-standing employment marketplaces. Its mission is to “build personal success for all”, helping job seekers and employers make meaningful matches. The platform spans 60+ markets and 29 languages, positioning itself as a truly global talent hub. Beyond posting jobs, companies can mine a résumé database of 45 million profiles, run targeted ads and manage applicants in CareerBuilder’s built-in ATS. Candidates benefit from AI matching, résumé builders and a mobile app whose augmented-reality mode reveals vacancies at nearby businesses.
Unique fact: CareerBuilder was co-owned by major newspaper chains, powering the leap from print classifieds to job listings and giving it decades of market insight. Serving everyone from first-time job hunters to Fortune 500 talent teams, it functions as board, aggregator and recruiting toolkit in one.
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Developers
Customers
Pages extracted
Hours saved for our clients
Customized scraping setup for CareerBuilder — faster and cheaper than building a solution from scratch.
Data limits (rows): up to 10%
Iterations: up to 3
Custom requirements: Yes
Data lifetime: up-to-date
Data quality checks: Yes
Delivery deadline: 1-2 working days
Output formats: CSV, JSON, XLSX
Delivery options: e-mail
Full-text access to exporting listings lets you benchmark salaries across regions, see when employers raise or cut pay, and identify hot skills before they appear in official labour reports. Recruitment teams can watch competitors’ hiring bursts, auto-populate their CRM with fresh vacancies and slash data-entry costs. Analysts gain a longitudinal dataset for forecasting demand — spotting surges in GenAI, green-energy or hybrid roles months in advance. Marketers and staffing agencies can build candidate lists filtered by region, industry and pay, then trigger personalised outreach.
In short: we scrape CareerBuilder data from a public job board into a private, queryable feed of labour-market signals that powers smarter HR, sales and investment moves.
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Scrapeit is a dedicated web-scraping studio that has delivered thousands of custom crawlers for HR platforms, e-commerce giants and investment firms, transforming messy HTML into analytics-ready datasets with SLA-backed accuracy thanks to custom extractor. Our proven playbook — discovery, rapid prototype, monitored production — has powered talent-intelligence dashboards for Fortune 500 recruiters and start-ups alike, and every project comes with lifetime maintenance and human support.
It’s one of our three most-requested boards among staffing firms and HR-tech vendors.
We collect only publicly available listings and comply with robots.txt; you decide final data use.
Our rotating proxies and headless browsers stay below threshold; we also monitor for layout changes.
Via CSV, Excel, JSON or SQL if you’d like to.
Most projects ship in 5 – 7 business days; rush jobs in 48 h.
1. Make a request
You tell us which website(s) to scrape, what data to capture, how often to repeat etc.
2. Analysis
An expert analyzes the specs and proposes a lowest cost solution that fits your budget.
3. Work in progress
We configure, deploy and maintain jobs in our cloud to extract data with highest quality. Then we sample the data and send it to you for review.
4. You check the sample
If you are satisfied with the quality of the dataset sample, we finish the data collection and send you the final result.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582
