BambooHR Jobs Scraper & API | Scrape BambooHR Job Listings

Search job listings directly from BambooHR — the leading ATS for small and medium businesses worldwide. BambooHR customers span every industry: SaaS, e-commerce, healthcare, fintech, professional services, manufacturing, and more. This actor queries Jobo's BambooHR index and returns a normalized, enriched job shape — the same schema used across the broader Jobo ATS platform. Open the actor on Apify, hit Try for free, and run with the default input (queries: ["Software Engineer", "Account Manager"]). Use it to build job boards, power AI agents, run market research, or feed an HR tech product.

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What can BambooHR Jobs Scraper do?

• Search 25,000+ companies on BambooHR — the broadest SMB ATS coverage in the Jobo database
• Filter by work model, experience level, salary range, skills, and companies
• Exclude noise with negative-keyword syntax (prefix any query token with -)
• Optionally attach the full company profile — industries, funding, leadership, ratings, tech stack, H1B history
• Zero ghost jobs — listings verified daily; expired roles removed within 24 hours
• Run on Apify with scheduling, monitoring, and webhooks, and integrate with Zapier, Make, Slack, or HTTP
• Download results as JSON, CSV, or XLSX

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Input

Configure the actor on the Input tab in the Apify UI. Every field is optional; leaving them empty returns the broadest possible result set.

Search

The core of every run. queries accepts up to 5 titles or keywords (OR-ed together); adding more rarely helps — narrow with filters instead.

Parameter	Type	Description
queries	Array (≤5)	Job titles or keywords. Multiple values are OR-ed. Prefix any entry with - to exclude (["Software Engineer", "-staff"]).
locations	Array	Cities, regions, or countries. Geocoded server-side for accurate matching.

Filters

Faceted filters that narrow the result set. Salary filters work in USD; jobs without a disclosed salary are excluded when either is set.

Parameter	Type	Description
work_models	Array	remote, hybrid, onsite.
employment_types	Array	full-time, part-time, contract, internship, freelance, temporary.
experience_levels	Array	intern, entry, mid, senior, lead, executive.
skills_include	Array	Only return jobs requiring ANY of these skills. Matched against AI-extracted qualifications.
skills_exclude	Array	Exclude jobs requiring ANY of these skills.
companies_include	Array	Only return jobs from these company names.
companies_exclude	Array	Exclude jobs from these companies.
min_salary_usd	Integer	Minimum annual USD salary.
max_salary_usd	Integer	Maximum annual USD salary.
posted_after	String	ISO 8601 (2025-01-01T00:00:00Z) or relative (7 days ago, 1 month).

Company enrichment

Parameter	Type	Default	Description
include_company_details	Boolean	false	Off by default — company carries a lightweight preview. Set true to replace it with the full enriched profile (companies are de-duplicated, fetched once per run; slower, more API calls).

Pagination

Parameter	Type	Default	Description
page	Integer	1	Page number (max 20). To go deeper, refine your filters instead of paging.
page_size	Integer	50	Results per page (max 100).

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Output

Each dataset row uses Jobo Connect's normalized job shape; source is always "bamboohr". The full JSON Schema is on the Dataset Schema tab in the Apify UI.

The Output tab offers two views: BambooHR Job Listings (jobs with a lightweight company preview) and Company details (the full company profile, populated when include_company_details is enabled).

Job fields

Name	Description	Type
id	Stable Jobo job identifier	uuid
title	Raw job title	text
normalized_title	Canonical title for grouping	text
description	Full job description, HTML stripped	text
summary	2–3 sentence AI role recap	text
listing_url	Canonical listing URL on BambooHR	uri
apply_url	Direct apply URL	uri
locations	Array of {location, city, region, country, latitude, longitude} (geocoded when possible)	object[]
compensation	{min, max, currency, period}	object
employment_type	full_time / part_time / contract / internship / freelance / temporary	text
workplace_type	remote / hybrid / onsite	text
experience_level	entry / mid / senior / lead / executive	text
qualifications	must_have / preferred, each with typed skills ({name, type: hard|soft}), education, certifications	object
responsibilities	Bullet list extracted from the description	text[]
benefits	Bullet list extracted from the description	text[]
is_work_auth_required	Work authorization required	bool
is_h1b_sponsor	Employer sponsors H1B	bool
is_clearance_required	Security clearance required	bool
source	Always bamboohr	text
date_posted	When the role was posted	timestamp
valid_through	Expiry timestamp (null in most cases)	timestamp
created_at	When Jobo first indexed the job	timestamp
updated_at	Last time Jobo refreshed the job	timestamp

Company fields

company is always present. By default it carries only the preview fields below; set include_company_details: true to replace it with the full enriched profile.

Preview (always present)

Name	Description	Type
id	Stable Jobo company identifier — use as your primary key	uuid
name	Trade name	text
website	Company marketing website	text
logo_url	Hosted logo URL	text
summary	Short company blurb	text
industries	Vertical industry labels	text[]
details_url	Link to GET /api/companies/{id} for the full profile	uri

Enriched (when include_company_details is on)

Name	Description	Type
legal_name	Registered legal entity name	text
primary_industry	Main industry label	text
company_size	Headcount band, e.g. 51-200	text
revenue	Annual revenue band	text
founding_year	Year founded	text
headquarters_location	HQ city / region	text
country_code	HQ country code	text
operating_status	active / closed	text
ipo_status	private / ipo / delisted	text
company_type	for_profit / non_profit	text
stock_symbol	Ticker symbol	text
stock_exchange	Listing exchange	text
funding_stage	Latest funding stage	text
total_funding	Total funding raised	text
investors	Investor names	text[]
funding_rounds	Per-round detail (investment_type, announced_on, raised_amount, …)	object[]
founders	Founder names	text[]
leadership	{name, title, linkedin_url, avatar_url}	object[]
ratings	{source, rating, url, review_count} (Glassdoor, etc.)	object[]
press_references	{url, posted_on, title, publisher}	object[]
h1b_annual_job_counts	{year, count} H1B history	object[]
technology_list	Detected technologies	text[]
tech_stack	{name, categories}	object[]
page_rank	Domain authority score	number
leadership_display	Display tag — "Name — Title"	text[]
ratings_display	Display tag — "Glassdoor 4.3 (2.1k)"	text[]
funding_display	Display tag — "Series B · $45M"	text[]

The complete company schema (every field) is on the Dataset Schema tab and at docs.jobo.world/api-reference/companies/schema. Use company.details_url with your X-Api-Key to re-fetch a profile on demand.

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Quick-start input examples

Remote engineering roles

{
  "queries": ["Software Engineer"],
  "work_models": ["remote"],
  "page_size": 50
}

Recent sales roles (last 7 days)

{
  "queries": ["Account Executive", "Sales Manager"],
  "posted_after": "7 days ago",
  "page_size": 100
}

Skills-filtered, US-only, $90k+

{
  "queries": ["Backend Engineer"],
  "skills_include": ["JavaScript", "AWS"],
  "skills_exclude": ["PHP"],
  "locations": ["United States"],
  "min_salary_usd": 90000,
  "page_size": 100
}

Negative-keyword filter

{
  "queries": ["Software Engineer", "-staff", "-principal"],
  "experience_levels": ["mid", "senior"],
  "page_size": 50
}

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Tips & advanced options

• Pagination cap. page_size maxes at 100 and page at 20. For bulk downloads (>2k rows) use ATS Jobs Feed instead — it uses cursor pagination and pulls up to 1,000 rows per batch.
• source is always bamboohr. Every row from this actor carries "source": "bamboohr" — no filtering needed, but useful for routing when you merge datasets.
• industries empty for some companies. Industries come from Jobo's enrichment pipeline; long-tail SMBs may show industries: [].
• Geocoding is best-effort. Loose strings like "Remote" or "Worldwide" won't geocode; the raw location string is always preserved.
• Salary normalization. All salary filters work in USD; source currencies (EUR, GBP, INR, etc.) are converted server-side using current FX.
• SMB salary disclosure varies. Many BambooHR postings don't publish salaries. Setting min_salary_usd will exclude them — leave it unset for maximum coverage.

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Use cases

Industry	Use case
Job Boards	Build SMB-focused aggregators with normalized data
AI Agents	Power career chatbots and résumé-matching agents with BambooHR's broad industry mix
HR Tech	Build market-intel dashboards tracking hiring at SMBs and mid-market companies
Recruiting	Source candidates and roles at BambooHR customers across every sector
Salary Research	Benchmark compensation across BambooHR's customer base
Market Research	Track sector hiring velocity through BambooHR postings

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Is it legal to scrape BambooHR job listings?

Our scrapers are ethical and do not extract any private user data, such as email addresses, gender, or location. They only extract what the user has chosen to share publicly. We therefore believe that our scrapers, when used for ethical purposes by Apify users, are safe. However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

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FAQ

Is this actor BambooHR only, or does it cover other ATSes?

BambooHR only. Every row has "source": "bamboohr". To search BambooHR alongside Greenhouse, Lever, Workday, and 53 more platforms in one call, use ATS Jobs Search.

Should I use this actor or ATS Jobs Search?

Use this actor when you only care about BambooHR — simpler input, same output schema. Use ATS Jobs Search when you want BambooHR results alongside jobs from 56 other ATS platforms.

Should I use this actor or ATS Jobs Feed?

Use BambooHR Jobs Scraper for filtered, paginated queries (job-board UIs, AI agents, real-time lookups). Use ATS Jobs Feed for bulk download (data pipelines, full-inventory sync) — cursor pagination, 1,000 jobs per batch, built for high throughput.

Are duplicates de-duped?

Yes — Jobo Connect de-duplicates by (company + canonical title + listing URL) before returning results.

Can I filter by salary?

Yes — min_salary_usd and max_salary_usd, normalized to USD server-side. Jobs without a disclosed salary are excluded when either filter is set. Note that many BambooHR SMB postings omit salary; leave both filters unset for maximum coverage.

How often is data updated?

Jobs are verified daily across BambooHR. Expired listings are removed within 24 hours.

Where can I check if the Jobo API is up?

At jobo.world/status — the live status page for the Jobo Connect API behind this actor.

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Related actors

Actor	Best for
ATS Jobs Search	Search all 57 ATS platforms at once
ATS Jobs Feed	Bulk download for data pipelines (cursor pagination, 1k/batch)
Workable Jobs Scraper	Global SMB + mid-market
Greenhouse Jobs Scraper	US tech unicorns
Crunchbase Company Lookup	Pair with company.details_url for funding / leadership data

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Changelog

2.2

• Job description in the listing view. The full description field now appears directly in the Job Listings view.
• Company enrichment is opt-in. include_company_details now defaults to off — the listing view carries a lightweight company preview, and the Company details view holds the full profile when enabled.

2.1

• Company enrichment (opt-in). include_company_details replaces the lightweight company preview with the full company profile — funding, leadership, ratings, tech stack, H1B sponsorship, acquisitions, investors, and more — fetched once per unique company. Off by default — enable it when you need company data.
• New "Company details" output view.

2.0

• Richer per-job shape: AI-extracted qualifications (typed hard/soft skills, education, certifications), responsibilities[], benefits[], summary, and normalized_title.
• Geocoded locations[] (resolved city / region / country / lat / lon).
• New filters: salary range (min_salary_usd / max_salary_usd), skills include/exclude, companies include/exclude, work model, experience level, employment type, and negative query syntax.
• Work-authorization signals: is_work_auth_required, is_h1b_sponsor, is_clearance_required.
• Existing inputs (queries, locations, posted_after, page, page_size) are unchanged from v1.x.

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About Jobo

Jobo provides comprehensive job data infrastructure for developers and businesses. Our ATS Jobs Database powers job boards, AI agents, and HR tech platforms worldwide.

• Website: jobo.world
• Enterprise API: jobo.world/enterprise
• API status: jobo.world/status
• Support: enrico@jobo.world