Job Board Keyword Signal Scanner

What's new (October 2026)

• Pay and seniority per matched posting. Each object in matched_postings now carries pay_text, pay_min, pay_max, pay_currency, and pay_period where the board publishes pay (Ashby compensation, Greenhouse pay transparency ranges, Lever salary ranges), plus seniority from title rules (founder, c_level, vp, director, head, manager, lead, senior, entry, intern, or null when the title states no level). Comes with include_job_descriptions, which stays off by default.

No price change. Existing fields and saved inputs work as before.

🔑 What can Job Board Keyword Signal Scanner do?

Give it a company domain and a role category and it tells you whether that company is hiring for those roles right now, across five ATS platforms. One flat row per domain.

Pick from twelve role categories, combine several at once, or pass your own keyword list.

📦 What you get	⚙️ Features and integrations
🎯 hiring_signal, one boolean to gate on 🗂️ Twelve role categories, or your own keywords 📊 roles_by_category and a signal_strength 🧾 34 flat fields, snake_case, one row per domain 📚 A list of domains in one run, plus full job descriptions on request	🔍 Five ATS platforms: Greenhouse, Lever, Ashby, Workday, Rippling 🗄️ Pre-indexed fallback when the live cascade misses 🔄 Change detection across runs ⬇️ Export to JSON, CSV, Excel, HTML or XML

Bought by teams whose buying signal is a specific kind of hire: an engineering scale-up, a first CFO, an ops buildout, or a GTM ramp.

🚫 If you only need GTM roles, use GTM Hiring Signal Scraper instead. It is purpose-built for that one category and costs the same per row. This actor exists for everything else, and for combining categories in one call.

💡 Why use Job Board Keyword Signal Scanner?

If you want	Read these fields
A hiring gate for any function	hiring_signal, signal_strength
How much they are hiring	matched_role_count, total_open_roles
Which function is growing	roles_by_category, department_with_most_openings, top_matched_role
Recency	most_recent_posting_date
What changed since last run	new_roles_detected, removed_roles_detected, roles_added_count, change_detected
Whether the data is live or indexed	fallback_used, fallback_source
Where to look	career_page_url, ats_platform

🗂️ The twelve categories

Pass one or more in role_categories:

Category	Covers
GTM	VP Sales, AE, SDR, RevOps, Head of Growth, CMO, CRO
Engineering	VP Engineering, CTO, Software Engineer, Staff Engineer, Engineering Manager
Finance	CFO, VP Finance, Controller, FP&A, Financial Analyst
Operations	COO, VP Operations, Chief of Staff, Business Operations, Strategy and Operations
Executive	CEO, President, Co-Founder, MD, General Manager, VP and above
Marketing	CMO, VP Marketing, Demand Gen, Product Marketing, Brand, Content, SEO
HR	CHRO, Chief People Officer, People Ops, Talent Acquisition, HRBP, Recruiter
CustomerSuccess	Chief Customer Officer, VP CS, CSM, Account Manager, Renewals, Support
Data	Chief Data Officer, VP Data, Data Engineer, ML Engineer, Data Scientist, BI Analyst
Product	CPO, VP Product, Product Manager, Product Owner, Product Ops
Legal	General Counsel, Chief Legal Officer, Corporate Counsel, Compliance, Paralegal
Design	VP Design, Head of UX, Product Designer, UX Researcher, Brand Designer
Custom	Your own list, via custom_keywords

Category names are matched case insensitively and separators are ignored, so customer_success, Customer Success and customerSuccess all reach the same category. sales resolves to GTM, people to HR, analytics to Data.

That is a fix, not a convenience. Until 2026-08-22 the lookup was an exact, case sensitive property read and anything that missed was skipped in silence, so a run asking for marketing matched no roles at all and reported no hiring signal for every company. Seven of the twelve categories above are also new on that date. categories_unresolved on every row now names anything you sent that still matches nothing, so a typo is visible rather than silent.

🗄️ The pre-indexed fallback

When the live cascade finds no ATS match, the actor falls back to a pre-indexed database covering over 175,000 companies and 54 ATS platforms. enable_fallback defaults to true.

fallback_used and fallback_source tell you which path produced the row, which matters because indexed data can be a few days behind live scraping. Set enable_fallback to false for faster runs on large lists where you are confident about ATS coverage.

📚 A list of domains in one run

Put many domains in domains instead of one in company_domain. Each domain returns its own row, in the order you sent them, and each row is one result at the same price as a single domain run. Duplicates are removed, and https://, www. and paths are stripped. company_domain still works on its own, and when you set both it is read first. max_domains (default 100, maximum 1,000) caps one run so it cannot run past the timeout.

previous_roles_detected describes one domain, so it applies only to a single domain run. On a list run it is ignored.

On a list run, the pre-indexed fallback runs for every domain the live cascade misses. That fallback is another Apify actor, and it bills your own Apify account per job item it returns, about $0.012 per item at Bronze, up to 10 items per domain, on top of this actor's price. Set enable_fallback to false on a large list to avoid that cost.

📄 Full job descriptions

Set include_job_descriptions to true and each row gets matched_postings: one object per matched role with posting_key, job_title, job_location, job_url, source_board, department, posted_at, job_description as plain text, pay (pay_text, pay_min, pay_max, pay_currency, pay_period), and seniority. The row count and the price do not change.

Board	Where the description comes from
Greenhouse, Lever, Ashby	One extra read of the board per domain
Workday	One extra read per matched role, up to max_postings_per_domain
Rippling	No description read; job_description is null
Pre-indexed fallback	No description read; job_description is null

Pay comes from the board's structured pay data only: the Ashby and Lever list reads already carry it, and Greenhouse needs one pay transparency read per matched role. Greenhouse ranges carry no period, so 1,000 or more reads as year and under 500 as hour. Workday, Rippling, and the fallback return null pay. seniority comes from title rules: "Account Manager" and similar job names stay null, and "SDR", "BDR", "Associate", and a trailing "I" read as entry.

Each description is capped at 20,000 characters. job_description_chars holds the length before the cap, and job_description_truncated says whether it was cut. A description that could not be read is null, never an empty string. max_postings_per_domain (default 25, maximum 100) caps the array; matched_postings_truncated is true when more roles matched, and matched_role_count still counts all of them. posting_key is a stable key for the posting, the same key Mamba Labs' other hiring actors compute for the same job.

▶️ Ready-to-run examples

Example	What it does
Find Companies Hiring Software Engineers	Engineering scale-up signal
New CFO Hire Detector	Finance leadership signal
Partnerships and Channel Role Scanner	Channel buildout signal
GTM and Engineering Combined Scan	Two categories in one call
Weekly Hiring Change Tracker	Momentum over time

📋 What data can Job Board Keyword Signal Scanner extract?

34 fields per domain.

Field	What it holds
hiring_signal	The boolean gate
matched_role_count, total_open_roles	Matches, and the whole board
matched_roles_detected, top_matched_role	Which roles matched
roles_by_category	Breakdown across the categories you searched
department_with_most_openings	Where the hiring is concentrated
signal_strength	Triage band
most_recent_posting_date	Freshness
categories_searched	What you asked for, echoed back
ats_platform, career_page_url	Which board answered, and where
company_name	Company identity
new_roles_detected, removed_roles_detected, roles_added_count, change_detected	Delta since your last run
fallback_used, fallback_source	Whether the row came from live scraping or the index
previous_run_date, run_date	Run bookkeeping

⚠️ Custom keywords are all treated as Tier 2 signals. signal_strength weights the built-in category keywords more heavily than anything you supply yourself, so a custom-keyword run will read lower on strength than an equivalent GTM run. Use matched_role_count rather than signal_strength when you are running your own keyword list.

⚠️ false and null mean different things on every row. false is a measurement: the actor looked and the answer was no. null is the absence of one: the actor could not look. When something it needed fails, the row comes back with degraded: true, a plain-language degradation_reason, and every field it could not measure set to null rather than to a confident false or 0. Filter on degraded before you trust a negative.

🛠️ How to find companies hiring for a role category

1. Open the Input tab and put a bare domain in company_domain, or a list in domains.
2. Set role_categories, one or several.
3. For anything the categories do not cover, add custom_keywords.
4. Click Start.
5. Filter on hiring_signal, then read roles_by_category to see where the hiring sits.

🧪 Using it in Clay

Add an Apify enrichment column and map your domain column to company_domain. Every field is a top-level key.

Combine categories in one call rather than running the actor twice. roles_by_category keeps them separable in the output.

⏱️ Tracking change over time

Pass previous_roles_detected and previous_run_date from your stored prior-run columns, and the actor returns new_roles_detected, removed_roles_detected and change_detected. Filter on roles_added_count to find companies that just opened positions.

💵 How much does it cost to scan a job board?

You are charged once per domain scanned.

Plan	Per domain	Per 1,000 domains
Free	$0.05	$50.00
Bronze	$0.0475	$47.50
Silver	$0.045	$45.00
Gold	$0.0425	$42.50

There is also an Actor start event at $0.00005, charged once per run per GB of memory.

Free Apify plans get 60 results per calendar month, resetting on the 1st. Paid plans have no monthly cap.

🛑 Your spending limit is respected. Set a maximum cost per run in Apify, or max_charge_usd on the Input tab, and the run stops before it would go over, keeping every result already charged. Each row's billable_events_json lists the events that row was charged for.

💳 A domain that matches no ATS is still billed. The actor probed five platforms and, if enabled, the pre-indexed fallback as well, and a row saying so is a real answer. When the free-tier monthly cap is reached the run exits before any scraping or paid fallback call, with an upgrade message and no result row, so it never charges you for a run it did not do.

⌨️ Input

Everything is on the Input tab.

Field	Type	Default	What it does
company_domain	string	none	Bare company domain. Optional when domains is set.
domains	array	none	A list of bare domains, one row each.
max_domains	integer	100	The most domains one run reads, up to 1,000.
role_categories	array	["GTM"]	One or more of the twelve categories above, plus Custom. Case insensitive.
custom_keywords	array	none	Your own role keywords.
previous_roles_detected	string	none	Prior run's roles, unlocks change detection.
previous_run_date	string	none	Prior run's date.
enable_fallback	boolean	true	Use the pre-indexed database when the live cascade misses.
include_job_descriptions	boolean	false	Add matched_postings with each matched role's full job description.
max_postings_per_domain	integer	25	The most matched roles in matched_postings per domain, up to 100.
max_charge_usd	number	none	Optional. The run stops before the next result that would take this run's charges over this amount, and keeps every result already charged. Leave empty to rely only on the maximum cost per run you set in Apify.

📤 Output

One flat row per domain, exportable as JSON, CSV, Excel, HTML or XML.

{
  "company_domain": "example.com",
  "company_name": "Example Inc",
  "hiring_signal": true,
  "ats_platform": "greenhouse",
  "matched_role_count": 5,
  "matched_roles_detected": ["Staff Engineer", "Engineering Manager"],
  "top_matched_role": "VP Engineering",
  "most_recent_posting_date": "2026-08-04",
  "department_with_most_openings": "Engineering",
  "total_open_roles": 18,
  "signal_strength": "high",
  "categories_searched": ["Engineering"],
  "roles_by_category": {"Engineering": 5},
  "career_page_url": "https://boards.greenhouse.io/example",
  "new_roles_detected": ["Staff Engineer"],
  "roles_added_count": 1,
  "change_detected": true,
  "fallback_used": false,
  "fallback_source": null,
  "run_date": "2026-06-18T16:18:12.670Z"
}

🧾 More fields on every row

Field	Type	What it holds
fallback_item_count	integer	How many job items the pre-indexed fallback returned for this domain before the domain assertion, or 0 when the fallback did not run.
fallback_items_dropped	integer	How many fallback items were discarded because they did not belong to the requested domain. Should be 0.
matched_postings	array	Null unless include_job_descriptions is on. One object per matched role: posting_key, job_title, job_location, job_url, source_board, department, posted_at, job_description, job_description_chars, job_description_truncated, pay_text, pay_min, pay_max, pay_currency, pay_period, seniority.
matched_postings_count	integer	Number of objects in matched_postings. Null unless include_job_descriptions is on.
matched_postings_truncated	boolean	True when more roles matched than max_postings_per_domain allowed. Null unless include_job_descriptions is on.
total_open_roles_is_floor	boolean	True when total_open_roles is a floor rather than a count, because the source returned a prefix of the board.
row_status	string	ok, degraded, error, or notice (a notice row carries a message, not a result). Present on every row.
error_reason	string	Why the row is degraded or an error, in plain words. Null on an ok row. Present on every row.
billable_events_json	string	JSON list of the pricing events this row was charged for, for example [{"event":"apify-default-dataset-item","count":1}]. Lets you reconcile a run from the dataset alone. The once per run start event is not repeated on rows.

💡 Tips

• Combine categories in one call. It costs one row either way and roles_by_category keeps them apart in the output.
• Check fallback_used before treating a posting date as live. Indexed rows can lag by a few days.
• Set enable_fallback to false on large lists where you already know your targets use a supported ATS. It is measurably faster.
• Store matched_roles_detected and run_date each time. Change detection is free once you do.

⚠️ Known limits

Workday and Rippling detection relies on career page scraping, not a clean public API, so slug mismatches can cause false negatives on some Workday domains. Greenhouse, Lever and Ashby use public APIs and are more reliable.

Roles behind authenticated career portals are not visible.

The pre-indexed fallback can be a few days stale compared with live scraping. fallback_used tells you when a row came from it.

Custom keywords are all treated as Tier 2 signals, which lowers signal_strength relative to the built-in categories.

No proxy layer by default. Heavy batch runs against the same ATS domain may get rate limited. Say so on the Issues tab if it becomes a pattern.

A fallback failure is not a run failure. If the fallback sub-call errors or times out it is caught and logged, the run continues, and the row comes back with ats_platform: "none" and fallback_used: false.

📝 Changelog

• 2026-10-28: added pay and seniority to each matched_postings object.
• 2026-10-16: removed linkedin_company_url from the output. It was always null; this actor never reads LinkedIn. To get a company's LinkedIn page, use Domain to LinkedIn URL Resolver.

❓ FAQ

How is this different from GTM Hiring Signal Scraper?

That one is scoped to GTM roles only and is purpose-built for it. This one lets you pick the category, covers five ATS platforms instead of three, and can combine categories in one call.

What happens when no ATS matches?

The pre-indexed fallback is tried when enable_fallback is true. If that also finds nothing, the row comes back with ats_platform: "none".

Can I use my own keywords?

Yes, via custom_keywords. Note they are weighted as Tier 2 in signal_strength.

Do I need to run it twice for two categories?

No. Pass both in role_categories and read roles_by_category in the output.

Does it need a proxy or an API key?

Neither.

🧩 Want other GTM data?

Mamba Labs builds a fleet of enrichment actors that share one flat output convention:

Actor	Actor ID
Account Hiring Watch	gRAZA5WBi1r6L0gy7
Agent Accessibility Auditor	anxbRv0lKrpQ1pnua
Agent to Brokerage Resolver	ePRRGLxOGyaVHO4dI
AI Answer Visibility Tracker	RJZvzKniYK4nswcMg
AI List Extractor for Any Website	D5hOdIez45M0NX5jD
AI Tooling Detector	EwkHhmqiuJgRoVEbE
Amazon Product, Price, and Stock Tracker	MtJPZoyjJ3IeqTFyo
API Deprecation and Breaking Change Monitor	pHsbS3xXUK8Jqutz5
App Store and Google Play Review Monitor	MaCMEhGrbchxQZ92G
B2B Reddit Conversation Monitor	SoDryzzsjmY3SsiyG
Bluesky Brand Presence Mapper	eLpxzP4IuXznlFVND
Bluesky Posts Scraper	KldSjS7wjoeZ7vQGm
Brand Sponsor Finder	PPgK6xrgOmvL7Nrys
Bulk WHOIS and RDAP Domain Age Lookup	MTrkG5FLU6SjqLdJY
Business PDF Field Extractor	vM7JCk0CMAx5W0oJh
Career Change Signal Engine	vX2Yga1a6wGaXaP14
Company Careers Page Jobs, 17 ATS Boards	izP0rfIgf5YaRZfIh
Company Change Event Feed	oX44rS0fkEJ3rXLWe
Company Discovery List Builder	jch0HdaZnpbMqlcGS
Company Firmographic Enricher	YlUtLWjfPpqykmB8g
Company Funding Record	OFS4Mt1gyYNtGfUbE
Company Headcount Estimator	aHC4GROnNt6kfZe5r
Company Identity Resolver	lr8fTRAmZCBZmuwwh
Company Role Email, Phone and Address Finder	4mMncKaJykiq94grz
Company Social Presence Mapper	4k6CCemkgBDz18m2h
Competitor Price, Stock, and Changelog Monitor	yxdgCbUQ4PYQWwRNU
Contact Classifier	0lGSeYJmniXhGANnO
Contractor License Search, CA, TX, WA, OR, LA	WBYK3CPI2kdeq4bP1
CRM Contact Job Change Checker	L8UbEmMJC1XYPSZOb
Domain Deliverability Checker	0tVgxI7A6o9jMlxmc
Domain to LinkedIn URL Resolver	3HtnSaqPHOg1Qg5gx
Ecommerce Platform Profiler	5G2NeYjBbQTjaTn9L
Ecommerce Store Discovery	PeHu4sLyFvQHXUUrX
Email List Verifier, Bring Your Own Key	CzVJ4NlaCKk80xpgE
Event Presence Index	WLhMy8fMDgsxdYxv5
Eventbrite Events Scraper	sgc6znyrbjOy5Yk9f
Expert Witness Finder, US and Australia	LIpwlgfE3LaQBaXd4
Facebook Posts Scraper	T6jxIeq4ua0SLXnqG
Funding and Press Signal Scanner	FS13X6dhQVgX3XOM6
GDPR Cookie Banner and Consent Checker	TrKyOS0KBoGC35nbr
GitHub Followers and Following Export	SGNxDmFb9v3tRDaFI
GitHub Organization Signal Scanner	ahF8RRpv5mzPao5CN
Google Ads Transparency Center Scraper by Domain	1eOwxhBVxzvOXAm4s
Google Maps Places Scraper	SuvHCNJ7pIuw6gn54
Google Trends Scraper	OeDzaACKmBYJXzHZk
GTM Hiring Signal Scraper	D7O1SA2EqwHGsGr1P
GTM Signals Aggregator	xKdRfnfFNkdMpFuNs
Healthcare Provider NPI Enricher	MrgbHzcpDq3mOv9Df
ICP Fit Scorer	W161DT8W4kW55dMFh
Influencer Change Monitor	d2VVgahNL6UmcLkhg
Influencer Lead List Builder	KnmByszcv135yM30G
Influencer Profile Scraper	EqEnklDVMIcB1V499
Influencer Search Across TikTok, Instagram and YouTube	tpkedmloIIWtXx6sg
Influencer Talent Agency Lookup	zCuX4Mgyg6JvXgGzd
Instagram Facebook Brand Presence Mapper	HXh65I0JBjPsunbY8
Integration and Marketplace Presence Mapper	V0guNuvM85Q61f2gj
Job Board Keyword Signal Scanner	4DvqpvhMR74NLcDDY
Job Posting Monitor	QCfICD9kOPiOdj5iI
Journalist and Media List Builder	mAfizsZC8qRoR0ecS
Launch Directory List Builder	cRq3bmvEZxZtioQ7U
Lead File Import Checker	RwlGVXTf46LqZdUgt
Legal Entity Resolver	KHFyPCDIx7CyqULYm
Link in Bio Scraper and Newsletter Detector	OorucdheTIgu7RFzK
LinkedIn Company Page Mapper	zOPm6A9JEhUGcIdFW
LinkedIn Jobs Feed	SH6N0d8cz46BhCC8B
LinkedIn Post Tracker	oiGLNPuaf5BRaz9K5
Local Business Lead Builder	qMN97aoHhsAS5bznV
Local Rank and Map Pack Tracker	gv0kyHGDIg8XscclB
Lookalike Companies from Seed Domains	e2O426WBAbLLQL4Z2
Manufacturer and Supplier Finder	Qcsdmd0lUfPzVkonh
MCP Server Change and Health Monitor	IeqjWF9U0BdDQFY08
Media URL Transcriber	Syfr7Ya3EsHgWfrB6
Meta Ad Library Ads by Company, Graph API	J1GWlSXfSGU3u8Wng
Mobile Phone Waterfall	6OOgPktf7RIa5XCOP
Multi Platform Social Posts and Comments	icFuHR1EzDvUcfCQ5
Netherlands Rental Listings	sGKGsbwoX18lFb6dR
New Hire Finder	cKuc38p4nYHNF3IW8
Newly Registered Companies, UK, Norway, Finland, France	g2WfZhWvCtc57g2Jo
News and Media Mention Monitor	gol1PPUKrsIk4QLBd
News Site Article Archive	NjcF3UD8791raFNHh
Newsletter Sponsor Tracker	qSwpqxD1TiPZpLQHv
Open Tender and RFP Finder	kPTGz6t6TFoUUyfaO
Outbound Stack Detector	v43UJC8r7qW7cBSTG
Page Finder and Extractor	TpurgcOZbVnknlaiC
Partner and Member Directory Extractor	ZX0XJPPUvnFJxeC1a
People Finder & Email Verifier	LEgloG7tWgQl4o6TD
Person LinkedIn URL Resolver	ssuyPV8LnEsL8qbnb
Person Social Footprint Mapper	jfQXa2zW9FHCJot9K
Personal Email to Company Resolver	AefT5Ye6YNPFQwJBf
Pinterest Brand Presence Mapper	d1HvjZfKhgvWsoEwn
Podcast Guest and Host Finder	o2MGSvgbSLeeXOsIo
Product Hunt Daily Launches with Maker Domains	O4VX63drWK9Y9x641
Property Owner Records	0J7ovG1iaZpQD1P0T
Prospect Engine	q9rT6v64nUJdPexOQ
Public Feature Board and Roadmap Monitor	rcHF5gj5r2Vqnry35
Publishing Frequency Tracker	TbLwaUUATdYb6wp4N
Recent Funding Rounds Feed	KueVp9MOz7iOoAgDp
Reddit Brand Presence Mapper	pKQZmDaT70SEb54bZ
Reddit Search and Thread Scraper	4Gsth5cP2Xt9V2xDN
Reporting Window Finder	uINxR7a1IW8qUTRUX
Research Topic Institutions and Authors	OH8ANqt7bCKbo72Gk
Semrush Domain Metrics	3dqa0abJrpssHtrYL
Sequencer Event Poller	S6s8Rjd61tGdrMRk4
Sequencer Lead Push	0Jv27VeWM5tSZQs9x
Shopify App Store and Chrome Web Store Listings	gaY0BzkLyN77mD3wI
Site Crawler for Links and Tables	lLLJ6JxZ4XqN8ULz0
Substack Newsletter and Posts Scraper	UEFsdwiPLmPNVy9xd
Team Page People Extractor	j8a9zX0k4mNbvDbWK
Tech Stack Signal Detector	qyd7nNyqFPelQViBx
Tennis Match Data	v3OX6zxXHZOf2yurO
Threads Posts by Keyword, Exact Match	2OT8K8RiEEWtaj2MW
Ticketmaster Event Prices	CrvPX4IwLXQX9bls1
TikTok Brand Presence Mapper	fco8FvoJcSafbeyd1
Trustpilot Reputation Enricher	3lIqfCt61j4hqE1xz
US and UK Contract Award Winners by Company	zhEtllASykOcx9hJ8
US Import Records Buyer Finder	VIMafpKF5ggOw0COU
VC and Accelerator Portfolio List Builder	chH8hrfuoqqolW06m
Website Accessibility Checker, WCAG 2.2 AA	P3jBj3FRghKEhX52z
Website Phrase and Business Model Classifier	CBuZ9k7sRwBeiKiCS
Website Traffic Rank Estimator	GnOFUzlNVIoXgeJjH
Work Email Waterfall	OT6xqTFThC0Rjf7Zj
Workplace Program Detector	Li6pPDhqbdzFz3h7G
X Brand Presence Mapper	oLOgadhHUkNAyDA3w
YouTube Channel and Video List Scraper	txaAjeBqgj5MStFE4
YouTube Channel Email Finder	IDgKZcmeeuunUbccN
YouTube Channel from Company Domain	6hSpD3kd2s2IQ4VSs
Zillow Listing Details	yG4zM0Enfsw2NefJ1

Every actor in the suite takes a domain or a company and returns one flat row, so they stack in the same Clay table without reshaping anything.

🆘 Support

Found a bug or want a category extended? Open an issue on the Issues tab. Response time is typically within 48 hours.

ℹ️ Sourcing and legal. Roles come from the public job board APIs of Greenhouse, Lever and Ashby and from public career pages on Workday and Rippling, plus a pre-indexed job database when the live cascade finds nothing. No authenticated portal is accessed. The actor returns companies, role counts and role titles, not people. You are responsible for how you use the output.

Built by Mamba Labs.