BambooHR Jobs & Careers Scraper

Here is one real result, with every field the actor returns (the description is truncated here for readability):

{
  "id": "21",
  "title": "Paid Marketing Specialist",
  "company": "lendio",
  "department": "Marketing",
  "departmentId": "18256",
  "category": null,
  "employmentType": "Full-Time",
  "jobOpeningStatus": "Open",
  "city": "Vancouver",
  "state": "British Columbia",
  "postalCode": "V6Z 1E4",
  "country": "Canada",
  "isRemote": null,
  "locationType": "0",
  "minimumExperience": "Manager/Supervisor",
  "compensation": "$130,000",
  "salaryMin": 130000,
  "salaryMax": 130000,
  "salaryCurrency": "USD",
  "salaryPeriod": "yearly",
  "postedDate": "2026-04-07",
  "description": "About Us\n\nOur mission is simple: we want to set people free to do meaningful work...",
  "applyUrl": "https://lendio.bamboohr.com/careers/21",
  "careerBoardUrl": "https://lendio.bamboohr.com/careers",
  "source": "BambooHR",
  "observedAt": "2026-08-10T14:28:40.330Z"
}

The most complete BambooHR careers scraper available. It returns every field a BambooHR job posting exposes, including department, employment type, full location, published salary, and the complete job description, plus optional AI summary, skills, and salary-estimate add-ons and a contact-email finder, and gives you eight filters to target exactly the jobs you need.

📥 Input · 📤 Output · 💰 Pricing · ▶️ Examples

Table of contents

• What it does
• Quickstart
• Input reference
• Output reference
• Example output record
• Run via API and CLI
• Fetch results
• Billing and limits
• FAQ and troubleshooting

What it does

The actor reads the public BambooHR careers board of any company hosted at company.bamboohr.com/careers and writes one normalized record per job opening. Give it one or more company subdomains (just the subdomain, for example lendio, or the full URL). With withDetails on (the default) each job is opened to add the full description, posting date, published salary and compensation, location type, and country. Post-filters narrow by keyword, remote-only, employment type, department, location, posted-after date, and salary band. Missing source values are returned as null.

Optional paid add-ons enrich each record: an AI job-description summary, structured skills, technologies and seniority tags, a market salary estimate for jobs without a published salary, and a contact-email finder. Each add-on is billed only for the work it does.

Quickstart

Open the actor, paste this into the input, and press Run. It returns up to 10 jobs from the Lendio careers board with full details.

{
  "companies": ["lendio"],
  "maxJobs": 10,
  "withDetails": true
}

Add more subdomains to scrape several boards in one run. Use searchQuery, remoteOnly, department, or the salary filters to narrow the results. Turn withDetails off for a faster listing-only run.

Input reference

Field	Type	Required	Default	Description
companies	string[]	no	(empty)	BambooHR company subdomains. For company.bamboohr.com/careers enter company. Full URLs are accepted too.
maxJobs	integer	no	10	Maximum jobs to collect across all boards (1 to 1000000).
withDetails	boolean	no	true	Also fetch each job's full description, posting date, salary, and country. Turn off for a faster listing-only run.
searchQuery	string	no	(empty)	Keep only jobs whose title, department, or description contains this text, for example engineer, remote, sales.
remoteOnly	boolean	no	false	Keep only jobs flagged as remote.
employmentType	string	no	(any)	Keep only jobs whose employment type contains this text (case-insensitive), for example full, part, contract, intern.
department	string	no	(any)	Keep only jobs whose department contains this text (case-insensitive).
location	string	no	(any)	Keep only jobs whose city, state, or country contains this text (case-insensitive).
postedAfter	string	no	(any)	Keep only jobs posted on or after this ISO date, for example 2026-01-31.
minSalary	integer	no	(none)	Keep only jobs whose published salary maximum is at least this amount. Jobs without a published salary are kept.
maxSalary	integer	no	(none)	Keep only jobs whose published salary minimum is at most this amount. Jobs without a published salary are kept.
withJdSummary	boolean	no	false	Paid add-on. Concise 2 to 3 sentence summary of each job description. Requires a paid Apify plan. Billed only when a summary is produced.
withSkills	boolean	no	false	Paid add-on. Structured required skills, technologies/tools, and a seniority level from each description. Requires a paid Apify plan. Billed only when tags are produced.
withSalaryEstimate	boolean	no	false	Paid add-on. Market salary range for jobs without a published salary, from title, location, and description. Requires a paid Apify plan. Billed only when an estimate is produced.
enrichContacts	boolean	no	false	Paid add-on. For each result without an email, attempt to find a public business email and contact name. Billed per attempt, plus extra only when an email is found.
enrichContactsMax	integer	no	50	Cap how many results the contact add-on tries to enrich. Free Apify accounts are capped at 3.

Filters combine with logical AND.

Output reference

One dataset item per job. Types: string, integer, boolean, string[], or null when the source value is absent.

Field	Type	Description
id	string	Job opening ID within the board.
title	string	Job title.
company	string	Company subdomain the job came from.
department	string	Department name.
departmentId	string	Department ID.
category	string	Job category when present, else null.
employmentType	string	Employment type, for example Full-Time.
jobOpeningStatus	string	Opening status, for example Open.
city	string	City of the job.
state	string	State/province of the job.
postalCode	string	Postal code of the job.
country	string	Country of the job (detail only).
isRemote	boolean	Whether the job is flagged remote, or null when not stated.
locationType	string	BambooHR location-type code.
minimumExperience	string	Minimum experience level as posted.
compensation	string	Compensation text as published (detail only).
salaryMin	integer	Parsed minimum salary (detail only), or null.
salaryMax	integer	Parsed maximum salary (detail only), or null.
salaryCurrency	string	Salary currency code (detail only), or null.
salaryPeriod	string	Salary period, for example yearly (detail only).
postedDate	string	Posting date YYYY-MM-DD (detail only).
description	string	Full job description text (detail only).
applyUrl	string	Direct URL to apply to the job.
careerBoardUrl	string	URL of the company's BambooHR careers board.
source	string	Data source label. Always BambooHR.
observedAt	string	ISO 8601 timestamp of collection.
aiJdSummary	string	Job-description summary. Populated only when the AI summary add-on is on, else absent.
aiSkills	string[]	Required skills from the AI skills add-on, else absent.
aiTechnologies	string[]	Technologies/tools from the AI skills add-on, else absent.
aiSeniority	string	Seniority level from the AI skills add-on, else absent.
aiSalaryEstimateMin	integer	Estimated minimum salary from the salary-estimate add-on, else absent.
aiSalaryEstimateMax	integer	Estimated maximum salary from the salary-estimate add-on, else absent.
aiSalaryEstimateCurrency	string	Estimated salary currency, else absent.
aiSalaryEstimateBasis	string	annual or hourly basis of the estimate, else absent.
aiSalaryEstimateConfidence	string	low, medium, or high confidence of the estimate, else absent.
enrichedEmail	string	Public business email found by the contact add-on, or null.
enrichedContactName	string	Contact person name found by the add-on, or null.
enrichedJobTitle	string	Contact person job title from the add-on, or null.
enrichedEmailStatus	string	verified, likely, guessed, or not_found from the add-on.
enrichedSource	string	Where the enriched email was found, or null.
enrichedConfidence	number	Confidence score for the enriched email, or null.

AI and contact-enrichment fields are only present when their add-on is on. A failed run writes a single item with an error field and is not charged.

Example output record

Real record from a live run (input {"companies":["lendio"],"maxJobs":10,"withDetails":true}), description truncated:

{
  "id": "21",
  "title": "Paid Marketing Specialist",
  "company": "lendio",
  "department": "Marketing",
  "departmentId": "18256",
  "category": null,
  "employmentType": "Full-Time",
  "jobOpeningStatus": "Open",
  "city": "Vancouver",
  "state": "British Columbia",
  "postalCode": "V6Z 1E4",
  "country": "Canada",
  "isRemote": null,
  "locationType": "0",
  "minimumExperience": "Manager/Supervisor",
  "compensation": "$130,000",
  "salaryMin": 130000,
  "salaryMax": 130000,
  "salaryCurrency": "USD",
  "salaryPeriod": "yearly",
  "postedDate": "2026-04-07",
  "description": "About Us\n\nOur mission is simple: we want to set people free to do meaningful work...",
  "applyUrl": "https://lendio.bamboohr.com/careers/21",
  "careerBoardUrl": "https://lendio.bamboohr.com/careers",
  "source": "BambooHR",
  "observedAt": "2026-08-10T14:28:40.330Z"
}

Run via API and CLI

Start a run and wait for it to finish, then read the dataset. Replace <TOKEN> with your Apify API token.

Run synchronously and get dataset items in one call:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~bamboohr-jobs-scraper/run-sync-get-dataset-items?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"companies":["lendio"],"searchQuery":"marketing","withDetails":true,"maxJobs":25}'

Start a run asynchronously:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~bamboohr-jobs-scraper/runs?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"companies":["lendio","neon"],"remoteOnly":true,"maxJobs":100}'

Apify CLI:

apify call scrapers_lat/bamboohr-jobs-scraper \
  --input '{"companies":["lendio"],"department":"Engineering"}'

Fetch results

Every run writes to a dataset. Fetch items as JSON, CSV, or Excel by changing format:

# JSON
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=json"

# CSV
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=csv"

# Paginate large datasets
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&offset=1000&limit=1000"

<DATASET_ID> is returned as defaultDatasetId in the run object. Use offset and limit to page through large result sets. clean=true drops empty and internal fields.

Billing and limits

• Pay per result. You are charged per job returned (result event). See the pricing tab for the current per-result price.
• Add-ons billed separately. Detail fetching (details), AI summary (ai_jd_summary), AI skills (ai_skills), AI salary estimate (ai_salary_estimate), and contact enrichment (contact-search-attempt per attempt, plus contact-email-found only when an email is found) are billed only for the work they do.
• No charge on failure. If a run errors, the actor writes a single item with an error field and does not charge for it. Empty runs cost nothing.
• Spend cap respected. Set maxTotalChargeUsd on the run; once reached, the actor stops emitting and charging further billable results.
• Free Apify plans are capped at 10 records per run, 3 contact-enrichment attempts, and cannot use the AI add-ons. Upgrade for higher maxJobs and enrichment.

FAQ and troubleshooting

A run returned 0 records. Why? The subdomain has no open jobs, or your filters were too strict. Check the subdomain (open company.bamboohr.com/careers in a browser), loosen filters, or remove remoteOnly. Zero-result runs are not charged.

Which company do I enter? Just the BambooHR subdomain. For a board at lendio.bamboohr.com/careers, enter lendio. You can also paste the full URL.

Why are description, salaryMin, or country missing? Those come from each job's detail page, which is only fetched when withDetails is on. With it off, only listing-level fields are returned.

Why is salaryMin/salaryMax null? The employer did not publish a salary. Turn on withSalaryEstimate (paid) to add a market estimate for those jobs.

Why are the AI or enriched fields absent? Those add-ons are off by default and (for AI) require a paid Apify plan. Turn on withJdSummary, withSkills, withSalaryEstimate, or enrichContacts to populate them.

Is this an official BambooHR tool? No. This actor is independent and has no affiliation with BambooHR. It reads only job data that companies publish on their public BambooHR careers boards. Use it in accordance with the source terms of use.

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Independent tool, not affiliated with BambooHR. Accesses only publicly available careers-board data. Use in accordance with the source terms of use.