🧑‍💻 Greenhouse Jobs & Lever Jobs Scraper - Ashby + 3 More ATS

Greenhouse jobs and Lever jobs from any employer's careers board, in one run: paste the board URL and get every current posting as a clean row, alongside Ashby, Recruitee, SmartRecruiters and Personio boards.

Scrape current job postings from any employer's Greenhouse, Lever, Ashby, Recruitee, SmartRecruiters or Personio careers board — paste the board URL — with title, location, department, description, pay where published and apply link, plus title, location and remote filters applied before billing. Run it once and you get the current records as a dataset — that is the default. Turn on watch mode and a scheduled run returns only what changed since the last run (see Optional: run it on a schedule).

Collect normalized public jobs from six company ATS boards and turn scheduled checks into confirmed openings, changes, closures, and reopenings.

Use with

Agencies maintaining public requisition histories; workforce vendors updating account workflows; investors and researchers preserving public hiring records; data teams replacing six adapters with one scheduled feed.

Give it the URL you already know. Put careers-board URLs in boardUrls — https://boards.greenhouse.io/<token>, https://jobs.lever.co/<site>, https://jobs.ashbyhq.com/<name>, https://<subdomain>.recruitee.com, https://careers.smartrecruiters.com/<CompanyId>, https://<account>.jobs.personio.com — and the actor resolves each to its provider and board; any other URL is refused with the list of supported forms, nothing arbitrary is fetched. You can still give targets as provider + board id. Narrow before you pay with filters: titleInclude (title contains), locationInclude (location text, any listed location or country code contains — e.g. ["London", "GB"]), remoteOnly. Filters run before a job is counted or billed. The maxItems cap fills in the order boards are listed.

Output is one job_record row per result; billing is pay-per-event, the value event being one job delta (a $0.02 start fee per run, then $0.01 per job delta plus one $0.10 source check per run that reads the source).

No login, no API key and no CAPTCHA solving are involved: the source is read logged-out.

Who buys this

• Recruiting and staffing agencies that track Greenhouse jobs and Lever jobs at target employers and need each posting's title, location and apply link.
• Sales and workforce-vendor teams using new Greenhouse jobs or Lever jobs as a hiring signal for an account.
• Investors and researchers keeping a dated record of what a company is hiring for.
• Data teams that want one feed for six ATS providers instead of six separate scrapers.

📊 Sample Output

Real rows from run fJc7arojArIGpomUL on build 0.1.50 (2026-10-02), the same input as the Quick start below — every value is as the source published it (emails masked, long text shortened):

provider	company_name	title	location_text	department	job_url
greenhouse	Stripe	Abuse Investigator	Dublin	8611 Security Analytics	https://stripe.com/jobs/search?gh_jid=8172487
greenhouse	Stripe	Abuse Investigator	Seattle, San Francisco, New York City	8611 Security Analytics	https://stripe.com/jobs/search?gh_jid=8172510
greenhouse	Stripe	Abuse Investigator	Dublin	8611 Security Analytics	https://stripe.com/jobs/search?gh_jid=8172508
greenhouse	Stripe	Abuse Research Engineer	Remote from the US	8611 Security Analytics	https://stripe.com/jobs/search?gh_jid=8172503
greenhouse	Stripe	Account Executive, AI Sales	San Francisco, CA	1654 Account Executives (AI)	https://stripe.com/jobs/search?gh_jid=8138044
greenhouse	Stripe	Account Executive, AI Startups - Grower	New York	1653 Startups - Account Executives (NA)	https://stripe.com/jobs/search?gh_jid=8204645
greenhouse	Stripe	Account Executive, Bridge	SF, NYC, SEA, CHI	1642 Product Sales - MaaS	https://stripe.com/jobs/search?gh_jid=8077887
greenhouse	Stripe	Account Executive, Bridge	LOCATION	1642 Product Sales - MaaS	https://stripe.com/jobs/search?gh_jid=8178461

The run finished with the status message: CAPPED: reason=max_items_cap_reached; observed=714; emitted=10; targets_complete=0/2; boards_reached=1/2; boards_not_read=[OpenAI] (maxItems already full — not fetched); capped=[Stripe: 10 of 714 observed]

✅ What you get

One of three record types, discriminated by record_type: job_record, job_delta, or source_receipt.

Each row is flat JSON with these fields (from the dataset schema and the sample run; a field the source does not publish for a given row is null):

• record_type (string) — Discriminator.
• run_id (string) — Apify run id that produced this item.
• provider (string) — ATS provider.
• target_key (string) — Buyer target key (companyName or boardId).
• provider_job_id (string/null) — e.g. 8172487
• composite_key (string) — provider|target_key|provider_job_id.
• company_name (string/null) — e.g. Stripe
• title (string/null) — Job title (non-null on job_record).
• job_url (string/null) — Public job URL.
• apply_url (string/null) — e.g. https://stripe.com/jobs/search?gh_jid=8172487
• locations (array/null) — e.g. ["Dublin"]
• location_text (string/null) — e.g. Dublin
• country_code (string/null) — null in every sample row
• workplace_type (string/null) — e.g. unspecified
• department (string/null) — e.g. 8611 Security Analytics
• team (string/null) — null in every sample row
• employment_type (string/null) — e.g. unknown
• language (string/null) — null in every sample row
• published_at (string/null) — null in every sample row
• updated_at (string/null) — e.g. 2026-09-25T16:45:00-04:00
• application_deadline (string/null) — null in every sample row
• description_plain (string/null) — e.g. Who we are About Stripe Stripe is a financial infrastructure platform for busine
• description_html (string/null) — e.g. <h2><strong>Who we are </strong></h2> <h3><strong>About Stripe</strong></h3> <p>
• description_truncated (boolean/null) — e.g. False
• salary_min (number/string/null) — null in every sample row
• salary_max (number/string/null) — null in every sample row
• salary_currency (string/null) — null in every sample row
• salary_interval (string/null) — null in every sample row
• salary_text (string/null) — null in every sample row
• raw (object/string/null) — null in every sample row
• raw_truncated (boolean/null) — e.g. False
• source_url (string) — Exact public request URL supporting this item.
• observed_at (string) — RFC3339 UTC time after shape validation.
• content_hash (string/null) — SHA-256 over canonical buyer-visible mutable fields.
• delta_type (string/null) — job_delta only.
• changed_fields (array/null) — Sorted changed field names on a changed delta.
• terminal (string/null) — source_receipt only.
• reason_code (string/null) — Stable terminal reason code.
• shape_canary_passed (boolean/null) — Whether the source-shape canary passed for this target.

✅ What you get

• record_type (string) — Discriminator.
• run_id (string) — Apify run id that produced this item.
• provider (string) — ATS provider.
• target_key (string) — Buyer target key (companyName or boardId).
• provider_job_id — e.g. 8172487
• composite_key (string) — provider|target_key|provider_job_id.
• company_name — e.g. Stripe
• title (string/null) — Job title (non-null on job_record).
• job_url (string/null) — Public job URL.
• apply_url — e.g. https://stripe.com/jobs/search?gh_jid=8172487
• locations — e.g. ["Dublin"]
• location_text — e.g. Dublin
• country_code — null in every sample row
• workplace_type — e.g. unspecified
• department — e.g. 8611 Security Analytics
• team — null in every sample row
• employment_type — e.g. unknown
• language — null in every sample row
• published_at — null in every sample row
• updated_at — e.g. 2026-09-25T16:45:00-04:00
• application_deadline — null in every sample row
• description_plain — e.g. <h2><strong>Who we are </strong></h2> <h3><stro
• description_html — e.g. <h2><strong>Who we are </strong></h2> <h3><stro
• description_truncated — e.g. False
• salary_min — null in every sample row
• salary_max — null in every sample row
• salary_currency — null in every sample row
• salary_interval — null in every sample row
• salary_text — null in every sample row
• raw — null in every sample row
• raw_truncated — e.g. False
• source_url (string) — Exact public request URL supporting this item.
• observed_at (string) — RFC3339 UTC time after shape validation.
• content_hash (string/null) — SHA-256 over canonical buyer-visible mutable fields.
• delta_type (string/null) — job_delta only.
• changed_fields (array/null) — Sorted changed field names on a changed delta.
• terminal (string/null) — source_receipt only.
• reason_code (string/null) — Stable terminal reason code.
• shape_canary_passed (boolean/null) — Whether the source-shape canary passed for this target.

✅ What you get

✅ What you get

• record_type (string) — Discriminator.
• run_id (string) — Apify run id that produced this item.
• provider (string) — ATS provider.
• target_key (string) — Buyer target key (companyName or boardId).
• provider_job_id — e.g. 8172508
• composite_key (string) — provider|target_key|provider_job_id.
• company_name — e.g. Stripe
• title (string/null) — Job title (non-null on job_record).
• job_url (string/null) — Public job URL.
• apply_url — e.g. https://stripe.com/jobs/search?gh_jid=8172508
• locations — e.g. ["Dublin"]
• location_text — e.g. Dublin
• country_code — null in every sample row
• workplace_type — e.g. unspecified
• department — e.g. 8611 Security Analytics
• team — null in every sample row
• employment_type — e.g. unknown
• language — null in every sample row
• published_at — null in every sample row
• updated_at — e.g. 2026-09-25T16:45:00-04:00
• application_deadline — null in every sample row
• description_plain — e.g. <h2><strong>Who we are </strong></h2> <h3><stro
• description_html — e.g. <h2><strong>Who we are </strong></h2> <h3><stro
• description_truncated — e.g. False
• salary_min — null in every sample row
• salary_max — null in every sample row
• salary_currency — null in every sample row
• salary_interval — null in every sample row
• salary_text — null in every sample row
• raw — null in every sample row
• raw_truncated — e.g. False
• source_url (string) — Exact public request URL supporting this item.
• observed_at (string) — RFC3339 UTC time after shape validation.
• content_hash (string/null) — SHA-256 over canonical buyer-visible mutable fields.
• delta_type (string/null) — job_delta only.
• changed_fields (array/null) — Sorted changed field names on a changed delta.
• terminal (string/null) — source_receipt only.
• reason_code (string/null) — Stable terminal reason code.
• shape_canary_passed (boolean/null) — Whether the source-shape canary passed for this target.

✅ What you get

• record_type (string) — Discriminator.
• run_id (string) — Apify run id that produced this item.
• provider (string) — ATS provider.
• target_key (string) — Buyer target key (companyName or boardId).
• provider_job_id — e.g. 8172508
• composite_key (string) — provider|target_key|provider_job_id.
• company_name — e.g. Stripe
• title (string/null) — Job title (non-null on job_record).
• job_url (string/null) — Public job URL.
• apply_url — e.g. https://stripe.com/jobs/search?gh_jid=8172508
• locations — e.g. ["Dublin"]
• location_text — e.g. Dublin
• country_code — null in every sample row
• workplace_type — e.g. unspecified
• department — e.g. 8611 Security Analytics
• team — null in every sample row
• employment_type — e.g. unknown
• language — null in every sample row
• published_at — null in every sample row
• updated_at — e.g. 2026-09-10T13:11:58-04:00
• application_deadline — null in every sample row
• description_plain — e.g. <h2><strong>Who we are </strong></h2> <h3><stro
• description_html — e.g. <h2><strong>Who we are </strong></h2> <h3><stro
• description_truncated — e.g. False
• salary_min — null in every sample row
• salary_max — null in every sample row
• salary_currency — null in every sample row
• salary_interval — null in every sample row
• salary_text — null in every sample row
• raw — null in every sample row
• raw_truncated — e.g. False
• source_url (string) — Exact public request URL supporting this item.
• observed_at (string) — RFC3339 UTC time after shape validation.
• content_hash (string/null) — SHA-256 over canonical buyer-visible mutable fields.
• delta_type (string/null) — job_delta only.
• changed_fields (array/null) — Sorted changed field names on a changed delta.
• terminal (string/null) — source_receipt only.
• reason_code (string/null) — Stable terminal reason code.
• shape_canary_passed (boolean/null) — Whether the source-shape canary passed for this target.

✅ What you get

• record_type (string) — Discriminator.
• run_id (string) — Apify run id that produced this item.
• provider (string) — ATS provider.
• target_key (string) — Buyer target key (companyName or boardId).
• provider_job_id — e.g. 8172510
• composite_key (string) — provider|target_key|provider_job_id.
• company_name — e.g. Stripe
• title (string/null) — Job title (non-null on job_record).
• job_url (string/null) — Public job URL.
• apply_url — e.g. https://stripe.com/jobs/search?gh_jid=8172510
• locations — e.g. ["Seattle, San Francisco, New York City"]
• location_text — e.g. Seattle, San Francisco, New York City
• country_code — null in every sample row
• workplace_type — e.g. unspecified
• department — e.g. 8611 Security Analytics
• team — null in every sample row
• employment_type — e.g. unknown
• language — null in every sample row
• published_at — null in every sample row
• updated_at — e.g. 2026-09-10T13:11:58-04:00
• application_deadline — null in every sample row
• description_plain — e.g. <h2><strong>Who we are </strong></h2> <h3><stro
• description_html — e.g. <h2><strong>Who we are </strong></h2> <h3><stro
• description_truncated — e.g. False
• salary_min — null in every sample row
• salary_max — null in every sample row
• salary_currency — null in every sample row
• salary_interval — null in every sample row
• salary_text — null in every sample row
• raw — null in every sample row
• raw_truncated — e.g. False
• source_url (string) — Exact public request URL supporting this item.
• observed_at (string) — RFC3339 UTC time after shape validation.
• content_hash (string/null) — SHA-256 over canonical buyer-visible mutable fields.
• delta_type (string/null) — job_delta only.
• changed_fields (array/null) — Sorted changed field names on a changed delta.
• terminal (string/null) — source_receipt only.
• reason_code (string/null) — Stable terminal reason code.
• shape_canary_passed (boolean/null) — Whether the source-shape canary passed for this target.

Every run also writes a RUN_RECEIPT record to its key-value store with the source checks it made and the counts it charged — diagnostics never land in the paid dataset.

⚙️ Sample inputs

1. Quick start — the Store example (this is what the sample above came from)

{
  "targets": [
    {
      "provider": "greenhouse",
      "boardId": "stripe",
      "companyName": "Stripe"
    },
    {
      "provider": "ashby",
      "boardId": "openai",
      "companyName": "OpenAI"
    }
  ],
  "watchMode": false,
  "maxItems": 10,
  "maxConcurrency": 6
}

The sample run charged exactly: 1 × $0.02 actor-start + 10 × $0.003 job-record + 0 × $0.01 job-delta + 0 × $0.10 source-check = $0.05 on the Free tier — every delivered row was billed.

2. A smaller, narrowed run

{
  "targets": [
    {
      "provider": "greenhouse",
      "boardId": "stripe",
      "companyName": "Stripe"
    },
    {
      "provider": "ashby",
      "boardId": "openai",
      "companyName": "OpenAI"
    }
  ],
  "watchMode": false,
  "maxItems": 5,
  "maxConcurrency": 6
}

Caps the run at 5 rows — about $0.17 on the Free tier ($0.02 start + $0.10 source check + 5 × $0.01).

3. Optional watch mode (changes only, for a schedule)

{
  "targets": [
    {
      "provider": "greenhouse",
      "boardId": "stripe",
      "companyName": "Stripe"
    },
    {
      "provider": "ashby",
      "boardId": "openai",
      "companyName": "OpenAI"
    }
  ],
  "watchMode": true,
  "maxItems": 10,
  "maxConcurrency": 6
}

The first run seeds a private baseline and emits zero deltas; every later run emits one row per change, billed at $0.01 each plus the $0.10 source check.

🧾 JSON sample record

One real record from run fJc7arojArIGpomUL, exactly as it lands in the dataset (emails masked, long text shortened):

{
  "record_type": "job_record",
  "schema_version": "1.0",
  "run_id": "fJc7arojArIGpomUL",
  "provider": "greenhouse",
  "target_key": "Stripe",
  "provider_job_id": "8172487",
  "composite_key": "greenhouse|Stripe|8172487",
  "company_name": "Stripe",
  "title": "Abuse Investigator",
  "job_url": "https://stripe.com/jobs/search?gh_jid=8172487",
  "apply_url": "https://stripe.com/jobs/search?gh_jid=8172487",
  "locations": [
    "Dublin"
  ],
  "location_text": "Dublin",
  "country_code": null,
  "workplace_type": "unspecified",
  "department": "8611 Security Analytics",
  "team": null,
  "employment_type": "unknown",
  "language": null,
  "published_at": null,
  "updated_at": "2026-09-25T16:45:00-04:00",
  "application_deadline": null,
  "description_plain": "Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accel",
  "description_html": "<h2><strong>Who we are </strong></h2> <h3><strong>About Stripe</strong></h3> <p><span style=\"font-weight: 400;\">Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to th",
  "description_truncated": false,
  "salary_min": null,
  "salary_max": null,
  "salary_currency": null,
  "salary_interval": null,
  "salary_text": null,
  "raw": null,
  "raw_truncated": false,
  "source_url": "https://boards-api.greenhouse.io/v1/boards/stripe/jobs?content=true",
  "observed_at": "2026-10-02T03:00:54Z",
  "content_hash": "fcb8437a91f6fd46c51689d270432d577562d08b7dbd8cb17b7bb09945d0a7d0"
}

🗂️ Provider guide — the six boards it reads

One input shape for all six. Paste the board URL in boardUrls (or give targets as provider + board id). Rows share one schema and carry provider. Real rows below are from runs on 2026-10-02 (six boards, run lQSpbr8MEq4dJqgjU; pay fields from run PprCNqs1Psd03ACSD on build 0.1.50, maxItemsPerBoard: 3); a field a provider does not publish is null/unknown, never guessed.

Greenhouse

• URL to paste: https://boards.greenhouse.io/<token> — also https://job-boards.greenhouse.io/<token> and the .eu hosts. Target form: {"provider": "greenhouse", "boardId": "<token>"}.
• Real row (Stripe): Abuse Investigator · Dublin · department 8611 Security Analytics · updated 2026-09-25T16:45:00-04:00 · https://stripe.com/jobs/search?gh_jid=8172487 · description delivered as readable text and real HTML. Stripe's board listed 713 postings.
• What Greenhouse publishes: one location string, departments, updated_at, full description. Not published: employment type, pay, posting date — delivered as unknown/null.

Lever

• URL to paste: https://jobs.lever.co/<site> — also https://jobs.eu.lever.co/<site> (region eu). Target form: {"provider": "lever", "boardId": "<site>"}.
• Real row (Palantir): Administrative Business Partner · Singapore · workplace_type: hybrid · employment_type: full_time · posted 2026-08-11T17:38:11Z · job and separate apply URLs on jobs.lever.co. 320 postings listed.
• What Lever publishes: workplace type (remote/hybrid/onsite), commitment (mapped to employment_type), team and department, a posting timestamp, description, and a salary range on the postings that carry one (salary_min/salary_max/salary_currency). The richest list of the six.

Ashby

• URL to paste: https://jobs.ashbyhq.com/<name>. Target form: {"provider": "ashby", "boardId": "<name>"}.
• Real row (OpenAI): Technical Program Manager, Compute Infrastructure · San Francisco · department Technical Program Management · employment_type: full_time · salary_text: "$257K – $335K • Offers Equity" (salary_min 257000, salary_max 335000, USD, per year) · https://jobs.ashbyhq.com/openai/8fb1615c-… with a separate /application apply URL · full description. 835 postings listed.
• What Ashby publishes: an explicit remote flag (workplace_type: remote when set), employment type when set, and compensation ranges where the company turns them on — includeCompensation (default on) fills salary_min/salary_max/salary_currency/salary_text when present.

Recruitee

• URL to paste: https://<subdomain>.recruitee.com. Target form: {"provider": "recruitee", "boardId": "<subdomain>"}.
• Real row (bunq): iOS Developer · Amsterdam, Noord-Holland, Netherlands · department Technology · https://careers.bunq.com/o/ios-developer-3 (the company's own careers domain) with /c/new apply URL · full description. 14 postings listed.
• What Recruitee publishes: location, department, the careers-site URLs, description. Not published: employment type, pay.

SmartRecruiters

• URL to paste: https://careers.smartrecruiters.com/<CompanyId>. Target form: {"provider": "smartrecruiters", "boardId": "<CompanyId>"}.
• Real row (Devoteam): Senior ServiceNow Consultant · Koerich, Capellen, Luxembourg (country_code: LU) · department Development · employment_type: full_time · released 2026-10-01T16:08:00.442Z · public posting https://jobs.smartrecruiters.com/Devoteam/744000152984328. 100 per page listed.
• What SmartRecruiters publishes: full location with remote/hybrid flags, department, employment type, release date, the public posting page. Limit: the public postings list carries no job description, so description_plain and description_html are null for this provider.

Personio

• URL to paste: https://<account>.jobs.personio.com. Target form: {"provider": "personio", "boardId": "<account>"}.
• Real row (ottonova): (Senior) Aktuar (m/w/d) mit Schwerpunkt Solvency II (20h) · offices München, Köln · department Risk Management & Actuary · employment_type: part_time · https://ottonova.jobs.personio.com/job/2573573 · description sections in the language the company wrote them (German here). 9 postings listed.
• What Personio publishes: every office, department, employment type (permanent / intern / working student … mapped), the description sections. The feed carries no posting date or pay. The public posting URL is built from the account and the job id.

Inputs that help across all six

• filters.titleInclude, filters.locationInclude, filters.remoteOnly — applied before a job is counted or billed; the status line reports how many were filtered out.
• maxItems — the run cap; boards fill it in the order listed. maxItemsPerBoard (optional) — a cap per board so every employer is represented; the status line names boards reached, boards not read because the cap was already full, and each board's N of M observed.
• includeDescriptions (default on) and includeCompensation (default on, Ashby/SmartRecruiters where published).
• watchMode (optional) — on a scheduled run, returns only jobs that opened, changed or closed since the last run.

🔧 How it works

Transport. Plain HTTPS from the Apify platform, no proxy.

Watch semantics. Snapshot mode (watchMode: false) returns a preview. Watch mode keys every record on a source-native id, stores a private baseline in a named key-value store, and on each later run emits one delta row per change (new / changed / removed). A blocked fetch is never diffed, so a source outage cannot show up as a mass removal.

Terminal states. A run ends NORMAL, CAPPED (your cap was reached), PARTIAL (something was withheld and the message says what), GENUINE_EMPTY (the source was read and truly had nothing in scope) or BLOCKED (the source refused or changed shape — the run FAILS loud and bills nothing). A zero-row run is never reported as a silent success.

Charging. Each job delta is charged at the moment it is pushed (job-delta); a row that fails to charge is not delivered, so the dataset count always equals the charged count. One source-check is charged per run that actually read the source.

🔧 How it works

Transport. Plain HTTPS from the Apify platform, no proxy.

🔧 How it works

Transport. Plain HTTPS from the Apify platform, no proxy.

🔧 How it works

Transport. Plain HTTPS from the Apify platform, no proxy.

🔧 How it works

Transport. Plain HTTPS from the Apify platform, no proxy.

🔧 How it works

Transport. Plain HTTPS from the Apify platform, no proxy.

1. What it does

Read buyer-selected public Greenhouse, Lever, Ashby, Recruitee, SmartRecruiters, and Personio boards into one schema. Snapshot mode returns current records. Watch mode seeds a private baseline and returns confirmed later deltas. Receipts separate complete, empty, partial, and blocked checks.

5. Watch mode

The first watch run seeds a private baseline and emits zero deltas. Later scheduled runs emit only confirmed changes. A job is closed only after it is absent for closureConfirmations consecutive eligible runs; partial or blocked checks never close a job. Same job = exact composite key; no fuzzy or cross-provider matching.

9. Compliance

Public logged-out sources only; no wall-defeating; no CAPTCHA/login/paywall workarounds; no candidate data; comply on objection. No login, private/licensed data, rental pricing, or always-on process. Buyers are responsible for lawful use and source terms.

Preview vs Watch mode

• Preview / snapshot (watchMode = false): returns current ATS job postings (billed per job-record). No baseline retained.
• Watch (watchMode = true, default): seeds a private baseline on the first run (zero deltas), then emits only qualified job-delta rows against it. A zero-delta poll charges one source-check per source; active runs bill via job-delta and are not double-charged. source_receipt diagnostics go to the RUN_RECEIPT key-value record and log — never the dataset. Each run charges one actor-start.

What is not done. No login, no cookie or CAPTCHA bypass, no private or personal-account data, no browser automation.

⏰ Optional: run it on a schedule

A single run returns the current records. If you also want to be told what changed over time, open the actor in Apify Console → Schedules → Create new, add this actor with input 3 above (watchMode: true) so each run returns only the changes, and pick a cadence:

• Daily — 0 7 * * * (07:00 UTC): catch changes within a day.
• Weekly — 0 7 * * 1: a Monday digest.

Each run is independent; keep the same input on the schedule so the results stay comparable. Schedules can also POST results to a webhook (Console → Integrations).

⏰ Optional: run it on a schedule

A single run returns the current records. If you also want to be told what changed over time, open the actor in Apify Console → Schedules → Create new, add this actor with the watch-mode input above (watchMode: true) so each run returns only the changes, and pick a cadence:

⏰ Optional: run it on a schedule

⏰ Optional: run it on a schedule

💰 Pricing example

Event	Free	Bronze	Silver	Gold
Actor Start (actor-start)	$0.02	$0.02	$0.02	$0.02
Job record (job-record)	$0.003	$0.0027	$0.0024	$0.002
Job delta (job-delta)	$0.01	$0.009	$0.008	$0.0067
Source check (source-check)	$0.10	$0.09	$0.08	$0.067

Worked at the live Free-tier price (watch mode, one delta per change):

• 8 job deltas: $0.02 start + $0.10 source check + 8 × $0.01 = $0.20
• 25 job deltas: $0.02 start + $0.10 source check + 25 × $0.01 = $0.37
• 1000 job deltas: $0.02 start + $0.10 source check + 1000 × $0.01 = $10.12

A run that delivers zero rows charges the $0.02 start fee plus the $0.10 source check (the source was read and reported empty). A BLOCKED run (source refused) fails loud and charges no value event. The start fee is charged once per GB of run memory; the default run memory is 512 MB.

Yield on the sample run: CAPPED: reason=max_items_cap_reached; observed=714; emitted=10; targets_complete=0/2; boards_reached=1/2; boards_not_read=[OpenAI] (maxItems already full — not fetched); capped=[Stripe: 10 of 714 obse. maxItems is a hard ceiling on what is delivered and billed, never a target.

⚖️ Legal & ToS

This actor reads public data only. It collects only what the source publishes to any visitor, identifies itself, and does not access accounts, private data or anything behind authentication. Use the output in line with the source's terms and your local law; the intended use is B2B research and monitoring.

❓ FAQ

Q: Do I need an API key or a login?
A: No. the input schema has no key field and the actor carries no secrets.

Q: Why did my run return 0 rows?
A: Read the run's status message. GENUINE_EMPTY means the source was read and had nothing in scope for your input (in watch mode the first run always seeds the baseline and returns zero deltas); BLOCKED means the source refused and the run failed without billing a value event — retry later or narrow the input. A zero-row run bills the start fee plus one source check.

Q: How many rows can one run return?
A: Up to maxItems (default 1000). Raise the cap for a bigger run; you pay per delivered row.

Q: What does watch mode remember between runs?
A: A private baseline of source-native record ids in a named key-value store. Each later run diffs the live source against it and emits only changes.

Q: How fresh is the data?
A: Every run reads the source live at run time; nothing is cached between runs except the watch baseline. Put it on a schedule for a continuous feed.

Q: What formats can I export?
A: The dataset downloads as JSON, CSV, Excel, XML or RSS from the run's Dataset tab or the Apify API, and any run can push to a webhook or integration.

Q: How is this different from the other ATS job board scrapers actors?
A: Same output shape and billing model; this one covers Greenhouse, Lever & Ashby Jobs Scraper - 6 ATS. The siblings under Related Actors cover the other sources or slices — run several on one schedule for a combined feed.

🆘 Troubleshooting

• Run FAILED with BLOCKED → the source refused the request or changed its page shape → nothing was billed beyond the start fee; retry after a while, and if it persists open an Issue with the run id.
• Status says CAPPED → your cap (maxItems) was reached → raise it for a bigger run.
• Input validation error on start → a field is outside the schema's allowed values → start from the Quick start block and change one field at a time.
• Run TIMED-OUT → a very wide request on a slow day → raise the run timeout in Run options or narrow the input; what was delivered before the timeout is still in the dataset.
• First watch run shows no deltas → expected: it seeds the baseline; changes appear from the second run.

🔗 Related Actors

• Paylocity Jobs Scraper - Any Employer Board — Scrape job postings from any Paylocity careers board: title, location, department, posting date and apply link. One record per result. Pay per result
• PCRecruiter Jobs Scraper — One structured jobrecord per LIVE job posting from a public, logged-out ATS board. Public, robots-honoured
• Polymer Hosted Jobs Scraper — One structured jobrecord per record from the official public source, logged-out. Public, robots-honoured
• Recruiterflow Careers Jobs Exporter — One structured job record per opening from employer career boards hosted by Recruiterflow — title, company, location, apply link. Keyless, logged-out…
• Teamtailor Jobs Scraper - Any Employer Board — Scrape job postings from any Teamtailor careers board: title, location, department, posting date and apply link. One record per result. Pay per resul…
• Workday Jobs Scraper — Any Employer Career Site — Scrape current job postings from any employer's public Workday career site. Paste the myworkdayjobs.com or myworkdaysite.com URL and get title, full…
• 🏢 About NexGen Watch — NexGen Watch is a catalog of more than 300 public data actors built on official sources, pay-per-result. Browse the catalog at apify.com/nexgenwatch.

⭐ Found this useful?

If this actor saved you a manual check, a quick review on the Apify Store helps other teams find it. Feature request or a source that changed? Open it from the Issues tab — every one is read.