# Ashby Jobs API Scraper — Salary Ranges, Seniority, No Login (`bovi/ashby-job-scraper`) Actor Scrape any Ashby HQ job board by company slug. Returns jobs with clean salary ranges, remote/hybrid/onsite type, seniority, descriptions and parse\_confidence. No proxy, no login — pure Ashby Posting API. Pay per result. - **URL**: https://apify.com/bovi/ashby-job-scraper.md - **Developed by:** [Vitalii Bondarev](https://apify.com/bovi) (community) - **Categories:** Jobs, Lead generation, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.45 / 1,000 job results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 ## Ashby Job Board Scraper — Jobs, Salary & Remote API For recruiters, talent ops, and AI pipelines that need Ashby job data with structured salary ranges — directly from the official API. **Pay per result — $1.50 / 1,000 jobs.** No API key. No login. No proxy required. Runs in Apify cloud. **Scrape any Ashby HQ job board by company slug.** Get clean job postings with salary ranges, remote/hybrid/onsite classification, seniority, descriptions, and parse_confidence — all from Ashby's official public posting API. No proxy, no login, no browser. **The ONLY Ashby scraper that returns machine-readable `salary_min_usd` and `salary_max_usd` as integers** — not just a text string. Built for salary analysis, comp benchmarking, and LLM job-matching pipelines. ### What you get Every job includes: | Field | Example | |---|---| | `title` | "Senior Software Engineer" | | `company` | "ramp" | | `location` | "New York, NY (HQ)" | | `secondary_locations` | ["Remote (US)", "Miami, FL"] | | `remote_type` | `remote` / `hybrid` / `onsite` | | `seniority` | `senior` / `mid` / `director` / ... | | `salary` | "$211.4K – $290.6K" | | `salary_min_usd` | 211400 | | `salary_max_usd` | 290600 | | `employment_type` | `full_time` / `contract` / `intern` | | `department` | "Engineering" | | `url` | jobs.ashbyhq.com link | | `posted_at` | ISO-8601 timestamp | | `description_text` | plain text | | `description_html` | raw HTML | | `parse_confidence` | 0.0–1.0 quality score | ### Why this actor Most Ashby scrapers return just title + URL. This one is different: - **Salary data** — Ashby's API returns structured compensation tiers with min/max integers. We expose both the human-readable string and the machine-readable `salary_min_usd` / `salary_max_usd` for direct filtering and analysis. - **Full remote taxonomy** — `remote_type` (`remote|hybrid|onsite`) derived from the official `workplaceType` field plus `isRemote` flag, not guessed from text. - **Secondary locations** — many Ashby jobs list multiple offices. We capture all of them in `secondary_locations`. - **Seniority inference** — title-based regex engine covering 11 canonical levels: executive, vp, director, manager, principal, staff, lead, senior, mid, entry, intern. - **Descriptions included by default** — Ashby returns full `descriptionHtml` + `descriptionPlain` in the list response. No extra per-job API calls. - **parse_confidence** — every record has a quality score (0.0–1.0) and a `warnings` list. If Ashby changes their API schema, your pipeline sees degraded confidence before it sees broken output. ### Usage 1. Find your company slug: go to the Ashby careers page → the slug is the identifier in the URL. For `jobs.ashbyhq.com/ramp` → slug is `ramp`. 2. Add slugs to the **Company slugs** input field. 3. Run — results appear in the dataset immediately as they are pushed. #### Finding Ashby slugs Any company using Ashby has a public job board at `https://jobs.ashbyhq.com/{slug}`. You can also find the slug by looking at their careers page URL on their main website. Popular Ashby companies: `ramp`, `linear`, `openai`, `retool`, `rippling`, `benchling`, `vercel`, `figma`, `notion`, `loom`, `scale`, `anduril`, `brex`. ### Input | Field | Default | Description | |---|---|---| | `companies` | `["ramp","linear","openai"]` | Ashby company slugs | | `titleKeyword` | — | Filter by title substring | | `locationKeyword` | — | Filter by location substring | | `remoteOnly` | false | Return only remote jobs | | `maxJobsPerCompany` | 50 | Cap per company (0 = unlimited) | | `includeDescriptions` | true | Include full description text + HTML | | `includeSalaryBreakdown` | true | Include `salary_min_usd`, `salary_max_usd`, `salary_currency` | ### Pricing Pay per result (job posted to dataset). First jobs free on the Apify free plan. **Worked example:** 3 companies × 50 jobs = 150 results = **$0.23**. 10 companies × 100 jobs = 1,000 results = **$1.50**. ### FAQ **Do I need an API key or proxy?** No. Ashby's Posting API is fully public — no auth, no IP restrictions, no proxy required. **What output formats are available?** JSON, JSONL, CSV, and Excel via the Apify dataset export, plus the Apify REST API. **Can I run it on a schedule?** Yes — use Apify Scheduler to refresh daily or hourly. Each run pushes the current open jobs; combine with your own dedup logic on `global_id`. **What if a company returns 0 jobs?** The actor logs a warning, records the slug in `failedCompanies`, and continues — the run never crashes. Check `OUTPUT.failedCompanies` in the key-value store for details. ### Technical notes - **Source:** Ashby official Posting API (`api.ashbyhq.com/posting-api/job-board/{slug}?includeCompensation=true`) - **No auth required** — Ashby job boards are fully public - **Rate limits** — none observed; actor respects HTTP 429 with backoff - **Reliability** — API-based (not DOM scraping) → no breakage from UI changes; `parse_confidence` signals any schema drift - **No proxy required** — Ashby API has no IP restrictions ### Output schema The dataset view shows the most useful fields. The full record also includes `global_id` (unique `ashby:{company}:{job_id}` identifier for deduplication), `apply_url`, `description_html`, `description_text`, `team`, and `scraped_at`. ### Vs competitor comparison | Feature | This scraper | Typical Ashby scrapers | |---|---|---| | `salary_min_usd` / `salary_max_usd` (integers) | Yes | No (string only) | | `secondary_locations` (multi-office) | Yes | No | | `parse_confidence` score | Yes | No | | Seniority (11 levels) | Yes | Rarely | | Official Posting API (no DOM scraping) | Yes | Yes | | Price | $1.50/1k | varies | ### Use with AI agents (MCP) This actor is MCP-compatible. Use it as a data source in n8n, Make, or any LLM agent pipeline. ```` https://mcp.apify.com/?tools=bovi/ashby-job-scraper ```` The flat JSON schema with `global_id` (`ashby::`) and `parse_confidence` makes it drop-in-ready for vector databases, RAG pipelines, and structured resume-matching workflows. Schema includes `salary_min_usd` / `salary_max_usd` as integers for direct salary-band filtering without regex. Need to cover Greenhouse, Lever, Recruitee, SmartRecruiters and Personio in the same pipeline? Use the flagship [Multi-ATS Job Scraper](https://apify.com/bovi/greenhouse-lever-ashby-job-scraper). ### Changelog - **0.1** (2026-05-31) — Initial release. Full salary breakdown, remote_type, seniority, secondary_locations, parse_confidence. ### Integrations Built for recruiters and comp-benchmarking tools pulling structured salary ranges and job specs from Ashby-powered boards — the JSON/dataset output drops into the tools you already run, no glue code: - **n8n / Make / Zapier** — trigger a run or pipe every new dataset item into 500+ apps (Google Sheets, Airtable, Slack, HubSpot, your database) with no code: [n8n](https://docs.apify.com/platform/integrations/n8n), [Make](https://docs.apify.com/platform/integrations/make), [Zapier](https://docs.apify.com/platform/integrations/zapier). - **Webhooks** — fire your own endpoint the moment a run finishes, to push results straight into your pipeline ([docs](https://docs.apify.com/platform/integrations/webhooks)). - **MCP server** — expose this actor as a tool to Claude, Cursor, or any [MCP client](https://mcp.apify.com) so an AI agent can pull this data mid-conversation ([guide](https://blog.apify.com/how-to-use-mcp/)). - **API & SDKs** — fetch the dataset as JSON, CSV, or Excel through the Apify REST API or the Python / JS SDKs. See all [Apify integrations](https://apify.com/integrations). # Actor input Schema ## `companies` (type: `array`): Ashby company slugs to scrape. The slug is the identifier in the careers URL: jobs.ashbyhq.com/{slug}. Example: for jobs.ashbyhq.com/ramp the slug is "ramp". Add one slug per line. ## `titleKeyword` (type: `string`): Keep only jobs whose title contains this text (case-insensitive). Leave empty for no filter. Example: "engineer", "marketing". ## `locationKeyword` (type: `string`): Keep only jobs whose location contains this text (case-insensitive). Leave empty for no filter. Example: "New York", "Remote". ## `remoteOnly` (type: `boolean`): When enabled, only jobs with remote_type = "remote" are returned. ## `maxJobsPerCompany` (type: `integer`): Maximum jobs to push per company after filtering. Set to 0 for no limit. Default 50 keeps trial runs cheap. ## `includeDescriptions` (type: `boolean`): Return full job description text and HTML. Ashby includes descriptions in the list response — no extra API calls needed. Turn off for smaller, faster output. ## `includeSalaryBreakdown` (type: `boolean`): In addition to the human-readable salary string, include salary_min_usd and salary_max_usd as integers for easy filtering and analysis. ## Actor input object example ```json { "companies": [ "ramp", "linear", "openai" ], "remoteOnly": false, "maxJobsPerCompany": 50, "includeDescriptions": true, "includeSalaryBreakdown": true } ```` # Actor output Schema ## `results` (type: `string`): Dataset containing Ashby Job Scraper records (title, company, location, remote\_type, seniority, salary, salary\_min\_usd, employment\_type, department, posted\_at, url, parse\_confidence). # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "companies": [ "ramp", "linear", "openai" ] }; // Run the Actor and wait for it to finish const run = await client.actor("bovi/ashby-job-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "companies": [ "ramp", "linear", "openai", ] } # Run the Actor and wait for it to finish run = client.actor("bovi/ashby-job-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "companies": [ "ramp", "linear", "openai" ] }' | apify call bovi/ashby-job-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=bovi/ashby-job-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Ashby Jobs API Scraper — Salary Ranges, Seniority, No Login", "description": "Scrape any Ashby HQ job board by company slug. Returns jobs with clean salary ranges, remote/hybrid/onsite type, seniority, descriptions and parse_confidence. No proxy, no login — pure Ashby Posting API. Pay per result.", "version": "0.1", "x-build-id": "9WOeysNR4GCVzANCS" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/bovi~ashby-job-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-bovi-ashby-job-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/bovi~ashby-job-scraper/runs": { "post": { "operationId": "runs-sync-bovi-ashby-job-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/bovi~ashby-job-scraper/run-sync": { "post": { "operationId": "run-sync-bovi-ashby-job-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "companies": { "title": "Company slugs", "type": "array", "description": "Ashby company slugs to scrape. The slug is the identifier in the careers URL: jobs.ashbyhq.com/{slug}. Example: for jobs.ashbyhq.com/ramp the slug is \"ramp\". Add one slug per line.", "items": { "type": "string" } }, "titleKeyword": { "title": "Title keyword filter", "type": "string", "description": "Keep only jobs whose title contains this text (case-insensitive). Leave empty for no filter. Example: \"engineer\", \"marketing\"." }, "locationKeyword": { "title": "Location keyword filter", "type": "string", "description": "Keep only jobs whose location contains this text (case-insensitive). Leave empty for no filter. Example: \"New York\", \"Remote\"." }, "remoteOnly": { "title": "Remote only", "type": "boolean", "description": "When enabled, only jobs with remote_type = \"remote\" are returned.", "default": false }, "maxJobsPerCompany": { "title": "Max jobs per company", "minimum": 0, "type": "integer", "description": "Maximum jobs to push per company after filtering. Set to 0 for no limit. Default 50 keeps trial runs cheap.", "default": 50 }, "includeDescriptions": { "title": "Include job descriptions", "type": "boolean", "description": "Return full job description text and HTML. Ashby includes descriptions in the list response — no extra API calls needed. Turn off for smaller, faster output.", "default": true }, "includeSalaryBreakdown": { "title": "Include salary min/max integers", "type": "boolean", "description": "In addition to the human-readable salary string, include salary_min_usd and salary_max_usd as integers for easy filtering and analysis.", "default": true } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```