Monster has run as a US job board since the 1990s and now sits under BOLD alongside CareerBuilder, which means the same posting often appears on both boards at once.
You describe the slice of Monster jobs you need: titles or keywords, locations, which country sites, and how often it should refresh. We build the crawler, run it on our infrastructure and maintain it when the markup moves. Nothing is installed on your side.
Delivery is CSV, JSON, XLSX or an API endpoint, on a schedule you set. These are scheduled crawls, not a live feed. A daily run gives you a daily snapshot, and we will state the expected lag for the cadence you pick rather than calling it real time.
Each delivery ships with a row count, a field-fill report and a note on anything the crawl could not reach in that period.
Monster answers unrecognized clients with a block page, and getting past that reliably is our work rather than yours. Anti-bot handling, proxy rotation and CAPTCHA solving come with the service, so nothing on your side has to deal with them.
A Monster posting exposes a predictable set of public fields. We take what the page actually publishes and leave a column empty rather than guessing at it.
What we leave out is as firm as what we collect. Output is limited to posting and employer data. Recruiter email addresses, direct phone numbers and other personal contact routes are excluded by default, not on request, and we do not build person-level records from these pages. Candidate profiles and resumes sit behind a Monster login, and we do not collect them.
Country sites are separate indexes. Monster runs national sites outside the United States, and they hold their own postings rather than mirroring the US board. Asia Pacific and the Middle East are a different case: Quess Corp bought that Monster business in 2018 and rebranded it as foundit in late 2022, so foundit.in and its sister sites are no longer Monster. We scope each country explicitly so nobody assumes coverage that is not there.
Duplicates come from three directions. The same advertisement can appear on Monster and CareerBuilder through the shared posting product, one employer can run near-identical listings in nearby cities, and postings are fed in from applicant tracking systems in batches. We deduplicate on the job id first, then run a configurable second pass on employer, title and location.
Closed postings stop being addressable. A Monster listing that has expired is not a stable public page you can re-fetch, so a longitudinal record has to capture each posting while it is live. We build that as an append-only history with a first-seen and last-seen date per job id.
robots.txt sets the shape of the crawl. Monster allows the plain keyword search path and disallows its paginated and faceted variants, including the recency, radius and employment-type parameters, along with the entire member profile tree. Deep coverage is therefore assembled from many narrow queries rather than walking one result set to an arbitrary depth.
Monster is a United States job board that has been online since the 1990s. That age matters: it is a name candidates still recognize, even where employers have moved budget elsewhere. Its ownership then changed twice in under a year. In September 2024 Monster and CareerBuilder were combined into a single business, with Apollo Global Management holding the controlling stake and Randstad a minority position. In June 2025 that combined business, CareerBuilder + Monster, filed for Chapter 11 and opened a court-supervised sale.
The auction did not go to the opening bidder. JobGet was the stalking horse, and BOLD outbid it. The sale transactions closed on July 31, 2025. BOLD took the job board business along with the rights to both the Monster and CareerBuilder brands. Monster Media Properties, which covers military.com and fastweb.com, went to Iron Corp U.S. Inc. Monster Government Solutions went to PartnerOne. BOLD confirmed completion on August 1, 2025 and said both boards would keep running as standalone brands. BOLD also operates Zety, LiveCareer, MyPerfectResume and FlexJobs.
Two things follow for anyone buying Monster data. monster.com is still live and still carries current postings, so the index is real and worth crawling. But the edge of the brand moved. military.com and fastweb.com are no longer Monster properties, and the government HR software sits with a different owner now. Our Monster scraper targets monster.com and nothing else unless you ask for more.
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Monster is not the largest US index and we will not sell it as one. It earns its place for narrower reasons.
The employer mix skews to established firms. Staffing agencies, healthcare systems, logistics operators and long-established regional employers keep posting on Monster after they have stopped paying for newer boards. If your market map is built only from the high-traffic aggregators, those employers are underweighted in it.
Overlap with CareerBuilder is now measurable. Monster's own employer pricing page states that a posting is published to Monster, CareerBuilder and a partner network. Crawling both boards and matching on employer, title and location tells you which listings are one advertisement and which are two separate campaigns.
The ownership change is a research question in itself. Posting volume, employer mix and listing freshness on Monster in 2026 are not what they were in 2023. If you are tracking where US job advertising went after the Chapter 11 sale, Monster data is direct evidence rather than commentary.
None of this needs personal data. Every use above runs on postings and employers, which is the only thing we deliver.
Learn how to use web scraping to solve data problems for your organization
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.
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.
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.
ScrapeIt is a managed scraping team. We build the crawlers, run them, repair them when a site changes, and hand over clean data. You maintain no code and no proxies.
We are not affiliated with Monster or BOLD and we do not claim to be. We work only with data Monster publishes to the open web, we respect its robots.txt, and we do not attempt to defeat bot protection or reach anything behind a login.
No. There is no public API for reading Monster job listings as a data buyer. Monster runs partner programs, but they are written for employers, staffing firms, applicant tracking vendors and media sites that want to post jobs or display listings on their own pages. None of them is a bulk feed of postings for analysis. If you want structured Monster data, scraping the public pages is the route, and that is what we operate.
No. Output is limited to posting and employer data. Recruiter emails, direct phone numbers and other personal contact routes are excluded by default rather than on request, and we do not assemble person-level records. Under the GDPR, information identifying a named recruiter is personal data, so we keep it out of the dataset entirely.
No. Monster's resume database and candidate profiles sit behind a login, and the site's robots.txt disallows the member profile tree, including the resume upload and resume assessment paths. We do not collect them and we do not offer them. Our Monster scraping covers public job postings only.
As current as the schedule you choose. We run scheduled crawls, not a live stream. Daily, weekly and monthly runs are all normal, and higher frequencies are possible for narrow slices. We state the expected lag for your cadence before the project starts. Listings that close between runs are marked with a last-seen date rather than silently dropped.
You can, and we would rather say so up front. Both boards now sit under BOLD, and Monster's employer pricing page states that a posting is published to Monster, CareerBuilder and a partner network. If we crawl only Monster you get one row per Monster posting, keyed on the job UUID. If we crawl both, we can keep the two rows and flag the match, or collapse them into one, whichever suits your analysis.
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.
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