# Greenhouse, Lever & Ashby Job Scraper API 💰 $0.95/1K (`blackfalcondata/greenhouse-scraper`) Actor

Scrape job listings from Greenhouse, Lever, Ashby, Recruitee, SmartRecruiters and Personio career sites in one actor — no monthly fee, $0.95/1K. Get salary, location and full job descriptions, plus incremental new/changed tracking across every board.

- **URL**: https://apify.com/blackfalcondata/greenhouse-scraper.md
- **Developed by:** [Black Falcon Data](https://apify.com/blackfalcondata) (community)
- **Categories:** Jobs, Lead generation, MCP servers
- **Stats:** 31 total users, 6 monthly users, 96.6% runs succeeded, 4 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $0.95 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

### What does Greenhouse, Lever & Ashby Job Scraper API do?

Greenhouse, Lever & Ashby Job Scraper pulls structured job listings from six applicant-tracking systems into one shared output schema. Covered platforms are Greenhouse (greenhouse.io), Lever, Ashby, Recruitee, SmartRecruiters, and Personio. Each record carries salary data, apply URLs, company metadata, location, and full descriptions. Paste any board URL or a bare Greenhouse token — the right platform is auto-detected. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time.

**New to Apify?** [Sign up free](https://console.apify.com/sign-up?fpr=1h3gvi) and use the included $5 monthly platform credit to test this actor.

### Key features

- **🧩 Multi-ATS coverage** — One actor spans Greenhouse, Lever, Ashby, Recruitee, SmartRecruiters, and Personio. Mix companies on different ATSs in one run — each board URL is auto-routed and normalised into a single shared output schema.
- **📋 Detail enrichment** — toggle two-stage scraping: first collect listings, then enrich each with full description + detail-page-only fields. Off by default to keep runs fast; flip on when you need the deep payload.
- **🔗 Paste-mode** — paste any greenhouse.io URL straight from your browser — single-listing pages, search-results URLs, or category SEO URLs. Mix freely with keyword and IDs in the same run; results dedupe by ID.
- **🔔 Notifications** — Telegram, Slack, Discord, WhatsApp Cloud API, and generic webhook out of the box. Pair with incremental for daily new-listing alerts without pipeline glue.
- **📦 Compact mode** — compact mode — schema-stable feed for downstream HRIS / aggregator ingestion. Sized for LLM context windows when piping into resume- matching pipelines.
- **📧 Email + phone extraction** — best-effort regex extraction of contact emails and phone numbers from descriptions — emitted as `extractedEmails[]` and `extractedPhones[]` on every record.
- **🔌 MCP connectors** — export your results into Notion via Apify's MCP connectors — a clean run-summary page, no glue code. Opt-in via the App connector field; deterministic field-mapping, no AI. Built on Apify's connector framework, so more destinations open up as their catalog grows.
- **♻️ Incremental mode** — recurring runs emit only listings that changed since the last run on this ATS — schema-stable diffs ready for downstream pipeline ingestion. Saves 80–95% on monitoring.
- **🧩 Structured job content** — postings are parsed into `qualifications`, `responsibilities` and `benefits` when the description uses headings for them, plus a `skills` list mined from the requirement text. `experienceLevel` and `industry` fill on the platforms that publish them, and salary fills wherever the board exposes a range. Fields stay `null` rather than guessed when a posting does not state them.

### What data can you extract from Greenhouse, Lever & Ashby?

Each result includes core job fields (`jobId`, `globalId`, `title`, `company`, `location`, `department`, `team`, `employmentType`), a derived `seniority` level, and the source ATS (`atsSource`, `postedVia`). Salary fields (`salaryMin`, `salaryMax`, `salaryCurrency`) fill where the platform exposes them. Detail enrichment adds full descriptions (`description`, `descriptionHtml`, `descriptionMarkdown`) and application questions. In standard mode every field is present — unavailable values are returned as `null`, never omitted. In compact mode, only the core fields are returned.

### Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

- **`boardTokens`** — Company boards to scrape. A bare token (e.g. 'airbnb') is treated as a Greenhouse board. For Lever or Ashby, paste the board URL (e.g. 'https://jobs.lever.co/spotify' or 'https://jobs.ashbyhq.com/ramp').
- **`presetLists`** — Scrape a curated bundle of well-known company boards (spans Greenhouse, Lever, and Ashby). Combine with your own boards above.
- **`startUrls`** — Paste board URLs, Greenhouse (boards.greenhouse.io, job-boards.greenhouse.io), Lever (jobs.lever.co), or Ashby (jobs.ashbyhq.com).
- **`query`** — Filter jobs by keyword, matched against the job title. Separate several terms with a comma or with OR to match any of them, for example: engineer OR developer. Quote a phrase to match it exactly.
- **`searchDescription`** — By default search terms are matched against the job title only. Enable this to also match the full job description. Broader, but it returns roles that merely mention your keyword. (default: `false`)
- **`location`** — Filter jobs by location, e.g. 'London' or 'Remote'. Separate several locations with OR to match any of them, for example: London OR Berlin. A comma is never a separator, so 'London, UK' is treated as one place, not two. Common city aliases are matched automatically in both directions (Bangalore/Bengaluru, NYC/New York, SF/San Francisco, and more).
- **`department`** — Filter by department name (substring match, e.g. 'Engineering').
- **`remoteOnly`** — Keep only jobs whose location indicates remote or work from home. (default: `false`)
- **`recentWindowDays`** — Keep only jobs posted within this many days. Leave at 0 for no date filter. Jobs without a posting date are always kept. (default: `0`)
- **`maxResults`** — Maximum total results across all boards (0 = unlimited). Memory auto-sizes to the run: 256 MB for up to 500 results, 512 MB for 501 or more. (default: `0`)
- **`maxJobsPerCompany`** — Cap results per company/board (0 = unlimited). Useful for an even sample across many boards instead of a few large ones dominating. (default: `0`)
- **`includeDetails`** — Fetch pay transparency and application questions per job (slower, one extra request per job). (default: `false`)
- ...and 22 more parameters

### Input examples

**Basic board scrape** — Pull every open role from one or more company boards.

→ Full payload per result — all standard fields populated where the source provides them.

```json
{
  "boardTokens": [
    "airbnb",
    "stripe",
    "discord"
  ],
  "maxResults": 50
}
```

**Keyword + location filter** — Narrow a board scrape to roles matching a keyword query and location.

→ Only listings whose title/content match the query and whose location matches.

```json
{
  "boardTokens": [
    "stripe"
  ],
  "query": "engineer",
  "location": "Remote",
  "maxResults": 50
}
```

**Incremental tracking** — Only emit jobs that changed since the previous run with this `stateKey`.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set `emitUnchanged: true` to include unchanged records as well.

```json
{
  "boardTokens": [
    "airbnb",
    "stripe",
    "discord"
  ],
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "greenhouse-tracker"
}
```

**Compact output for AI agents** — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

```json
{
  "boardTokens": [
    "airbnb",
    "stripe",
    "discord"
  ],
  "maxResults": 50,
  "compact": true
}
```

### Output

Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

### Example job record

```json
{
  "jobId": "gh-7732569",
  "globalId": "greenhouse:airbnb:7732569",
  "greenhouseId": 7732569,
  "internalJobId": 3393194,
  "title": "(Contract) Senior Data Scientist, Platform Inference - MarTech DS Measurement",
  "seniority": "senior",
  "company": "Airbnb",
  "location": "United States",
  "department": "Data Science",
  "offices": [
    "United States"
  ],
  "description": "Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every co...",
  "descriptionHtml": "<div class="content-intro"><p><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Airbnb was born in 2007 when two hosts welcomed three gues...",
  "descriptionMarkdown": "Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every co...",
  "qualifications": "5+ years of industry experience in a quantitative analysis role with a Master’s degree in a quantitative field (computer science, statistics etc.), or 2+ years of experience with a Ph.D. Deep, hands-o...",
  "responsibilities": "Marketing Mix Modeling: Design, build, and maintain MMM models that estimate incremental channel contributions, including prior elicitation, adstock/saturation modeling, validation, and sensitivity an...",
  "skills": [
    "Python",
    "SQL",
    "Data Science",
    "Statistics",
    "Experimentation"
  ],
  "contentHash": "fc6e51b2766f6a4fe57c6b04a2b43ed96c0f32962cc0374e82b44a6f782cdf2d",
  "employmentType": "Contract",
  "workplaceType": "Remote",
  "isRemote": true,
  "url": "https://careers.airbnb.com/positions/7732569?gh_jid=7732569",
  "applyUrl": "https://careers.airbnb.com/positions/7732569?gh_jid=7732569",
  "requisitionId": "CW",
  "language": "en",
  "salaryMin": 140,
  "salaryMax": 150,
  "salaryCurrency": "USD",
  "salaryPeriod": "hourly",
  "questions": [
    {
      "label": "First Name",
      "type": "input_text",
      "required": true
    },
    {
      "label": "Last Name",
      "type": "input_text",
      "required": true
    },
    {
      "label": "Email",
      "type": "input_text",
      "required": true
    },
    {
      "label": "Phone",
      "type": "input_text",
      "required": true
    },
    {
      "label": "Resume/CV",
      "type": "input_file",
      "required": true
    },
    "... 12 more items"
  ],
  "metadata": [
    {
      "name": "Is this job part of ACC?",
      "value": false
    },
    {
      "name": "Workplace Type",
      "value": "Remote"
    }
  ],
  "postedDate": "2026-03-18T13:37:03-04:00",
  "updatedAt": "2026-05-21T12:02:33-04:00",
  "scrapedAt": "2026-08-22T16:32:59.837Z",
  "portalUrl": "https://boards.greenhouse.io/airbnb",
  "source": "greenhouse.io",
  "postedVia": "Greenhouse",
  "atsSource": "greenhouse",
  "sourceBoardToken": "airbnb",
  "isRepost": false,
  "contactEmail": "reasonableaccommodations@airbnb.com",
  "extractedEmails": [
    "reasonableaccommodations@airbnb.com"
  ]
}
```

### Incremental fields

When incremental mode is on, each record also carries:

- `changeType` — one of `NEW`, `UPDATED`, `UNCHANGED`, `REAPPEARED`, `EXPIRED`. Default output covers `NEW` / `UPDATED` / `REAPPEARED`; set `emitUnchanged: true` or `emitExpired: true` to opt into the others.
- `firstSeenAt`, `lastSeenAt` — ISO-8601 timestamps tracking the listing across runs.
- `isRepost`, `repostOfId`, `repostDetectedAt` — populated when a new listing matches the tracked content of a previously expired one. Set `skipReposts: true` to drop detected reposts from the output.

### How to scrape Greenhouse, Lever & Ashby

1. Go to [Greenhouse, Lever & Ashby Job Scraper API](https://apify.com/blackfalcondata/greenhouse-scraper?fpr=1h3gvi) in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set `maxResults` to control how many results you need.
4. Enable `includeDetails` if you need full descriptions, contact info, company data.
5. Click **Start** and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

### Use cases

- Extract job data from Greenhouse, Lever & Ashby for market research and competitive analysis.
- Track salary trends across regions and categories over time.
- Monitor new and changed jobs on scheduled runs without processing the full dataset every time.
- Build outreach lists using contact details and apply URLs from listings.
- Research company hiring patterns, employer profiles, and industry distribution.
- Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
- Export clean, structured data to dashboards, spreadsheets, or data warehouses.
- Analyze skill demand across listings using structured skill tags.

### How much does it cost to scrape Greenhouse, Lever & Ashby?

Greenhouse, Lever & Ashby Job Scraper API uses [pay-per-event](https://docs.apify.com/platform/actors/paid-actors/pay-per-event) pricing. You pay a small fee when the run starts and then for each result that is actually produced.

- **Run start:** $0.005 per run
- **Per result:** $0.00095 per job record

Example costs:

- 10 results: **$0.014**
- 25 results: **$0.029**
- 100 results: **$0.1**
- 200 results: **$0.2**
- 500 results: **$0.48**

#### Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of jobs that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 250 jobs per run, daily polling (30 runs/month). Costs scale linearly with the number of jobs.

| Churn rate | Full re-scrape run cost | Incremental run cost | Savings vs full re-scrape | Monthly cost after baseline |
|---|---:|---:|---:|---:|
| 5% — stable niche query | $0.24 | $0.02 | $0.23 (93%) | $0.51 |
| 15% — moderate broad query | $0.24 | $0.04 | $0.20 (83%) | $1.22 |
| 30% — high-volume aggregator | $0.24 | $0.08 | $0.17 (69%) | $2.29 |

Full re-scrape monthly cost at the same cadence: $7.27. First month with incremental costs $0.73 / $1.42 / $2.45 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

### FAQ

#### How many results can I get from Greenhouse, Lever & Ashby?

The number of results depends on the search query and available jobs on Greenhouse, Lever & Ashby. Use the `maxResults` parameter to control how many results are returned per run.

#### Does Greenhouse, Lever & Ashby Job Scraper API support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed jobs on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

#### Can I integrate Greenhouse, Lever & Ashby Job Scraper API with other apps?

Yes. Greenhouse, Lever & Ashby Job Scraper API works with Apify's [integrations](https://apify.com/integrations?fpr=1h3gvi) to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

#### Can I use Greenhouse, Lever & Ashby Job Scraper API with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the [Apify API](https://docs.apify.com/api/v2). Client libraries are available for JavaScript, Python, and other languages.

#### Can I use Greenhouse, Lever & Ashby Job Scraper API through an MCP Server?

Yes. Apify provides an [MCP Server](https://apify.com/apify/actors-mcp-server?fpr=1h3gvi) that lets AI assistants and agents call this actor directly. Use compact mode, `descriptionMaxLength`, a single `descriptionFormat`, and `excludeEmptyFields` to keep payloads manageable for LLM context windows.

#### Is it legal to scrape Greenhouse, Lever & Ashby?

This actor extracts publicly available data from Greenhouse, Lever & Ashby. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

#### Your feedback

If you have questions, need a feature, or found a bug, please [open an issue](https://apify.com/blackfalcondata/greenhouse-scraper/issues?fpr=1h3gvi) on the actor's page in Apify Console. Your feedback helps us improve.

### You might also like

- [Actiris \[Just 💰$1.5\] — Brussels Public Jobs](https://apify.com/blackfalcondata/actiris-scraper?fpr=1h3gvi) — 💰 $1.5 per 1,000 jobs. Scrape actiris.brussels — the official Brussels public employment service.
- [AMS Austria — Public Employment Service Jobs](https://apify.com/blackfalcondata/ams-austria-job-scraper?fpr=1h3gvi) — Scrape jobs.ams.at — Austria's official AMS public employment portal (branded alle jobs) with live.
- [APEC.fr Scraper - French Executive Jobs](https://apify.com/blackfalcondata/apec-scraper?fpr=1h3gvi) — 💰 $0.8 per 1,000 jobs, platform usage included. Scrape apec.fr French executive listings — every.
- [Arbeitsagentur \[Just 💰$0.45\] — German Federal Jobs](https://apify.com/blackfalcondata/arbeitsagentur-jobs-feed?fpr=1h3gvi) — 💰 from $0.45 per 1,000 jobs. Scrape arbeitsagentur.de — Germany's official public employment.
- [Arbetsförmedlingen \[Just 💰$3\] — Sweden Public Jobs](https://apify.com/blackfalcondata/arbetsformedlingen-scraper?fpr=1h3gvi) — 💰 $3 per 1,000 jobs. Scrape arbetsformedlingen.se (Platsbanken) — Sweden's official employment.
- [Bayt — MENA Jobs with Salary & Skills](https://apify.com/blackfalcondata/bayt-scraper?fpr=1h3gvi) — Scrape bayt.com — the leading Middle East job board across UAE · Saudi Arabia · Qatar · Egypt & 9.
- [BestJobs.eu \[Just 💰$1.5\] — Romania Job Board](https://apify.com/blackfalcondata/bestjobs-eu-scraper?fpr=1h3gvi) — 💰 $1.5 per 1,000 jobs. Scrape bestjobs.eu — a leading Romanian job board — export salary ranges ·.
- [Bumeran \[Just 💰$1\] — LATAM Jobs (7 Countries)](https://apify.com/blackfalcondata/bumeran-scraper?fpr=1h3gvi) — 💰 $1 per 1,000 jobs. Scrape Bumeran Group across LATAM — Argentina · Chile · Ecuador · Mexico ·.

### Getting started with Apify

New to Apify? [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=1h3gvi) — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click **Start** — export results as JSON, CSV, or Excel

Need more later? [See Apify pricing](https://apify.com/pricing?fpr=1h3gvi).

### Disclaimer

This actor accesses only publicly available data on greenhouse.io. You are responsible for how you use the extracted data — in particular any personal information such as names, phone numbers, or email addresses — and for complying with Greenhouse, Lever & Ashby Job Scraper API's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction.

This actor is not affiliated with, endorsed by, or connected to Greenhouse, Lever & Ashby Job Scraper API.

### Search keywords

greenhouse scraper, greenhouse api, apify greenhouse, greenhouse data extraction, greenhouse, lever & ashby job scraper api scraper, greenhouse, lever & ashby job scraper api api, apify greenhouse, lever & ashby job scraper api, greenhouse, lever & ashby job scraper api data extraction, greenhouse.io scraper, greenhouse.io data, greenhouse.io api, job listings scraper, recruitment data, hiring data, job board scraper.

# Actor input Schema

## `boardTokens` (type: `array`):

Company boards to scrape. A bare token (e.g. 'airbnb') is treated as a Greenhouse board. For Lever or Ashby, paste the board URL (e.g. 'https://jobs.lever.co/spotify' or 'https://jobs.ashbyhq.com/ramp').

## `presetLists` (type: `array`):

Scrape a curated bundle of well-known company boards (spans Greenhouse, Lever, and Ashby). Combine with your own boards above.

## `startUrls` (type: `array`):

Paste board URLs, Greenhouse (boards.greenhouse.io, job-boards.greenhouse.io), Lever (jobs.lever.co), or Ashby (jobs.ashbyhq.com).

## `query` (type: `string`):

Filter jobs by keyword, matched against the job title. Separate several terms with a comma or with OR to match any of them, for example: engineer OR developer. Quote a phrase to match it exactly.

## `searchDescription` (type: `boolean`):

By default search terms are matched against the job title only. Enable this to also match the full job description. Broader, but it returns roles that merely mention your keyword.

## `location` (type: `string`):

Filter jobs by location, e.g. 'London' or 'Remote'. Separate several locations with OR to match any of them, for example: London OR Berlin. A comma is never a separator, so 'London, UK' is treated as one place, not two. Common city aliases are matched automatically in both directions (Bangalore/Bengaluru, NYC/New York, SF/San Francisco, and more).

## `department` (type: `string`):

Filter by department name (substring match, e.g. 'Engineering').

## `remoteOnly` (type: `boolean`):

Keep only jobs whose location indicates remote or work from home.

## `recentWindowDays` (type: `integer`):

Keep only jobs posted within this many days. Leave at 0 for no date filter. Jobs without a posting date are always kept.

## `maxResults` (type: `integer`):

Maximum total results across all boards (0 = unlimited). Memory auto-sizes to the run: 256 MB for up to 500 results, 512 MB for 501 or more.

## `maxJobsPerCompany` (type: `integer`):

Cap results per company/board (0 = unlimited). Useful for an even sample across many boards instead of a few large ones dominating.

## `includeDetails` (type: `boolean`):

Fetch pay transparency and application questions per job (slower, one extra request per job).

## `descriptionMaxLength` (type: `integer`):

Truncate the plain-text description to N characters. 0 = no truncation. This trims `description` only; to shrink the payload, use Description format to drop the HTML and Markdown variants.

## `compact` (type: `boolean`):

Return only core fields (for AI-agent/MCP workflows).

## `incrementalMode` (type: `boolean`):

Only return new or changed jobs since last run.

## `stateKey` (type: `string`):

Custom key for incremental state (default: auto-generated from board tokens).

## `skipReposts` (type: `boolean`):

Skip jobs detected as reposts of previously seen jobs (cross-run detection via content hash).

## `telegramToken` (type: `string`):

Telegram bot token from @BotFather. Required for Telegram notifications.

## `telegramChatId` (type: `string`):

Telegram chat or channel ID where alerts are sent (e.g. "-100123456789" for a private group, or "@yourchannel").

## `discordWebhookUrl` (type: `string`):

Discord incoming webhook URL. Get one from Server Settings → Integrations → Webhooks.

## `slackWebhookUrl` (type: `string`):

Slack incoming webhook URL. Create at api.slack.com/messaging/webhooks.

## `whatsappPhoneNumberId` (type: `string`):

WhatsApp Business phone number ID from Meta Business Manager (NOT the phone number itself, the numeric ID shown next to your business number). Free service-conversation messages within 24 hours of last user-initiated contact.

## `whatsappAccessToken` (type: `string`):

Meta Cloud API access token with `whatsapp_business_messaging` scope. Get a permanent token from a system user in Meta Business Manager.

## `whatsappTo` (type: `string`):

Recipient phone in E.164 format (e.g. +919876543210). Recipient must have messaged your business number within the last 24 hours, outside that window, free-form text is rejected by Meta.

## `webhookUrl` (type: `string`):

Generic webhook URL that receives a JSON POST with the full job payload + run metadata. Universal escape hatch for n8n / Make / Zapier / your own backend.

## `webhookHeaders` (type: `object`):

Optional headers (e.g. {"Authorization": "Bearer xyz"}) sent with the webhook POST.

## `notificationLimit` (type: `integer`):

Maximum number of jobs included in each notification message (1–20). Excess jobs are still in the dataset; notifications get a summary line.

## `notifyOnlyChanges` (type: `boolean`):

When Incremental Mode is on, only send notifications for NEW / UPDATED / REAPPEARED jobs. Has no effect outside incremental mode.

## `descriptionFormat` (type: `string`):

Pick a single description representation. `all` keeps every variant; `text` / `html` / `markdown` drop the others.

## `excludeEmptyFields` (type: `boolean`):

Drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards.

## `appConnector` (type: `string`):

Optional. Pick a connected app under Settings → API & Integrations to receive your results. Notion is supported today (a run-summary page); other MCP connectors are best-effort as Apify expands its catalog.

## `mcpIssueTeam` (type: `string`):

Only when the connected app is an issue tracker: the team (name or ID) the summary issue is created under, if that app requires one.

## `emitUnchanged` (type: `boolean`):

When incremental mode is on, also emit listings whose content has not changed since the last run.

## `emitExpired` (type: `boolean`):

When incremental mode is on, also emit listings that were seen before but are no longer found.

## Actor input object example

```json
{
  "boardTokens": [
    "airbnb",
    "stripe",
    "discord"
  ],
  "searchDescription": false,
  "remoteOnly": false,
  "recentWindowDays": 0,
  "maxResults": 50,
  "maxJobsPerCompany": 0,
  "includeDetails": false,
  "descriptionMaxLength": 0,
  "compact": false,
  "incrementalMode": false,
  "skipReposts": false,
  "notificationLimit": 5,
  "notifyOnlyChanges": false,
  "descriptionFormat": "all",
  "excludeEmptyFields": false,
  "emitUnchanged": false,
  "emitExpired": false
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "boardTokens": [
        "airbnb",
        "stripe",
        "discord"
    ],
    "searchDescription": false,
    "remoteOnly": false,
    "maxResults": 50,
    "descriptionFormat": "all",
    "excludeEmptyFields": false
};

// Run the Actor and wait for it to finish
const run = await client.actor("blackfalcondata/greenhouse-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "boardTokens": [
        "airbnb",
        "stripe",
        "discord",
    ],
    "searchDescription": False,
    "remoteOnly": False,
    "maxResults": 50,
    "descriptionFormat": "all",
    "excludeEmptyFields": False,
}

# Run the Actor and wait for it to finish
run = client.actor("blackfalcondata/greenhouse-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "boardTokens": [
    "airbnb",
    "stripe",
    "discord"
  ],
  "searchDescription": false,
  "remoteOnly": false,
  "maxResults": 50,
  "descriptionFormat": "all",
  "excludeEmptyFields": false
}' |
apify call blackfalcondata/greenhouse-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,blackfalcondata/greenhouse-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/E8S1k79WIZ8hNficI/builds/KqvsvdQoGRRrpn8WR/openapi.json