BambooHR careers pages are where electrical contractors, civil builders, insurers and startups post jobs, each on its own subdomain. Our BambooHR scraper merges them into one dataset.
Plans from €169 a month · Free project assessment · Reply within 1 business day
CSV · Excel · JSON · XML · FTP · SFTP · Amazon S3 · Google Cloud
API, JSON feed or CSV, XLSX and JSON files
ScheduleOne-time, monthly, weekly, daily or 3 times a day
BambooHR pages, filters, fields and a schedule
Built, monitored and repaired by our team
API, JSON feed or CSV, XLSX and JSON files
Each BambooHR customer has its own careers website on its own subdomain, and every one of them stands alone, so a project begins with your list of companies. We match each name to its subdomain, read every open job and every job page, and deliver the result on the cadence you set - daily, weekly or once.
We build, run and maintain the crawlers; rendering, pacing and proxy rotation are handled on our side. Free-text pay lines are parsed into numbers, employment status labels are mapped to a common set, and the original wording is kept next to every normalised value. A free assessment of your list comes first, and a sample before the first run. Plans start from EUR 169 a month, or EUR 199 for a one-time extract.
A BambooHR careers website lists the openings an employer is advertising now, and every opening is built from the same form inside BambooHR. The public page therefore carries the same set of fields for a civil contractor in British Columbia as for an electrical contractor in Pennsylvania:
We deliver the form as question labels only; nothing an applicant enters is touched.
The difficult part of BambooHR is breadth, not depth. A careers page holds a handful of openings or a few dozen, so the value comes from covering many companies: a region's contractors, a vertical, a list of accounts your sales team targets. We track each company's subdomain and keep its rows apart with a company key.
Evergreen openings need care. Some employers keep an internal position application Open indefinitely, with a date posted years in the past. We flag them, so counts of real vacancies are not inflated.
Repeat runs keyed on company and job id show when a role was added, when its pay line or location type changed and when it closed, which turns a flat BambooHR job listings export into hiring history. Some companies also embed the same list on their own website; we treat both as one source, so a role is never counted twice.
BambooHR is HR software from Draper, Utah, sold to small businesses, growing mid-market companies and larger ones: employee records, payroll, time tracking, benefits and an applicant tracking system. The last of these is what puts jobs on the public web. A company that hires through it gets a careers website at the company's BambooHR address with /careers/ appended, and each job page sits one level below it with its number.
The employers are a different crowd from typical tech job boards. A storage marketplace startup in Utah sits next to an electrical contractor in Pennsylvania, a civil construction group in British Columbia and an insurer in Jamaica, hiring for field crews, trades, sales and office roles. Their postings read that way: hourly pay, trade tickets, site names as departments.
Because every opening is created from the same BambooHR form, structure stays consistent while the vocabulary does not. One company files staff as Full-Time, another as Regular Full-Time, a third as Craft. Location type is one of In Office, Hybrid or Remote; minimum experience is a fixed level; compensation is free text the employer types. Visitors can share any opening to social networks from the page, and no account is needed to read it.
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan detailsA BambooHR careers page is the employer's own list of vacancies, so it gives hiring signals from companies too small to show up in most labour market reports.
Learn how to use web scraping to solve data problems for your organization
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.
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.
ScrapeIt is a data extraction company. We run the collection end to end and hand over the dataset in Excel, CSV, JSON or JSONLines, by e-mail, Dropbox, Google Drive, FTP or our API. For a list of small employers we keep the company list, the schedule and the field mapping on our side. Applicant data is never collected, and any personal detail inside a posting falls under GDPR.
Still unsure? Write to info@scrapeit.io
Yes. The ScrapeIt BambooHR API returns company, job title, department, location type, minimum experience and the parsed compensation line as JSON from an endpoint we host, refreshed on the schedule you set. If files suit you better, the same rows arrive as Excel or CSV, as a JSON feed or loaded into your database.
Yes. A BambooHR careers website is a page the employer publishes for job seekers, and anyone can open it. We collect only publicly available data - the openings any visitor can see on a BambooHR careers page - and we collect it legally.
We start from the companies you name or a list we agree on, find the subdomain behind each careers website and check that it is live. Each page is then read in full, including every job page, so the date posted, compensation and minimum experience come with every row.
Yes. The compensation field is free text, so we read it into minimum, maximum, currency and period - hourly or yearly - and keep the original line. Openings without pay stay in the export with those columns empty, ready for Excel or CSV filtering.
Steadily rather than hourly: the employer sets each opening to Open or closes it, pay lines are edited in place, and evergreen postings can stay up for years. A weekly run suits most lists; daily runs make sense when you use new openings as sales triggers.
You share your needs, expectations, and desired timeframe. We'll suggest the best solution based on your request and budget.
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
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.
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.
Tell us which sites, which fields and how often. A couple of lines is enough to start.
BambooHR data from €169/month. Free project assessment, reply within 1 business day.