CareerBuilder Scraper

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.

CareerBuilder Scraper
Solutions

CareerBuilder Scraper Services

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.

What We Scrape on CareerBuilder.com

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.

What We Scrape on CareerBuilder.com
Beyond the Basics: Extra Fields

Beyond the Basics: Extra Fields

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.

What Is CareerBuilder?

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.

Get a Quote
dev_w
25

Developers

customers
500+

Customers worldwide

pages
1 500 000 000+

Pages extracted

stime
15000+

Hours saved for our clients

Plans

Airplane

€199 / one-time

setup fee - included

Data limits100,000
Frequencyone-time
Run timeup to 5 days
Data storing7 days

Helicopter

€169 / mo

setup fee €499

Data limits250,000
Frequencymonthly
Run timeup to 5 days
Data storing14 days

Glasses

€229 / mo

setup fee €499

Data limits1,000,000
Frequencyweekly
Run timeup to 5 days
Data storing30 days

DNA

€549 / mo

setup fee €799

Data limits3,000,000
Frequency3 times daily
Run timesame day
Data storing90 days

Why Scrape CareerBuilder?

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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Learn how to use web scraping to solve data problems for your organization

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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.

What is Web Scraping and What is it Used For?

What is Web Scraping and What is it Used For?

Web scraping is a method of obtaining web data by extracting it from pages of web resources with the help of a program, that is, in automatic mode. It is used to syntactically convert web pages into more usable forms.

Web Scraping for Machine Learning

Web Scraping for Machine Learning

If you specialize in machine learning, you need to feed large amounts of data to the algorithms. Web scraping is the easiest and the most efficient method of collecting the data from all over the Internet.

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About Scrapeit

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.

FAQ

How popular is scraping CareerBuilder?

It’s one of our three most-requested boards among staffing firms and HR-tech vendors.

Is it legal?

We collect only publicly available listings and comply with robots.txt; you decide final data use.

Will CareerBuilder block me?

Our rotating proxies and headless browsers stay below threshold; we also monitor for layout changes.

How do you deliver job data?

Via CSV, Excel, JSON or SQL if you’d like to.

How long to go live?

Most projects ship in 5 - 7 business days; rush jobs in 48 h.

How does it Work?

Step 1 - Make a Request

You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.

Step 2 - Configuring Custom Web Crawlers

Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.

Step 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.

Step 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 more about you and your project information.
Which sites, which fields, how often. A couple of lines is enough.

We reply within 1 business day. No obligation.

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Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582