The NanoScrape Greenhouse Lever Ashby Jobs Scraper is an Apify actor that extracts job listings from Greenhouse Lever Ashby Jobs. It returns 29 fields per result including title, company, location, city, description, priced at $1/1k job, with no API key or monthly subscription required.
Scrape every open job from Greenhouse, Lever and Ashby company boards: title, company, location, department, salary where stated, apply URL and full description. Filter by keyword, location and date. Pay per result.
| Field | Type | Example | Group | Fill % |
|---|---|---|---|---|
id | string | ashby-7b2865a7-2796d32a-9f7c-4008-a2c5-50dd53b0f2fe | Core | 100% |
ats_job_id | string | 2796d32a-9f7c-4008-a2c5-50dd53b0f2fe | Core | 100% |
title | string | Data Engineer, Core Experimentation | Core | 100% |
apply_url | string | https://jobs.ashbyhq.com/openai/2796d32a-9f7c-4008-a2c5-50dd53b0f2fe/application | Core | 100% |
job_url | string | https://jobs.ashbyhq.com/openai/2796d32a-9f7c-4008-a2c5-50dd53b0f2fe | Core | 100% |
company | string | OpenAI Zürich | Company | 100% |
location | string | null | Seattle | Location | 100% |
city | string | null | Seattle | Location | 85% |
country | string | null | US | Location | 100% |
country_source | string | (populated when data available) | Location | — |
additional_locations | array | null | (populated when data available) | Location | — |
description | string | null | <p style="min-height:1.5em"><strong>About the Team</strong></p><p style="min-height:1.5... | Description | 65% |
salary_min | number | null | 347000 | Salary | 35% |
salary_max | number | null | 385000 | Salary | 35% |
salary_currency | string | null | USD | Salary | 35% |
salary_period | string | null | year | Salary | 20% |
salary_text | string | null | $347K - $385K | Salary | 35% |
salary_source | string | null | stated | Salary | 35% |
employment_type | string | null | Full-time | Employment | 35% |
remote | boolean | true | Employment | 100% |
department | string | null | Applied AI | Metadata | 80% |
posted_at_text | string | null | (populated when data available) | Metadata | — |
scraped_at | string | 2026-10-28T12:38:33Z | Metadata | 100% |
ats_platform | string | ashby | Other | 100% |
language | string | null | en | Other | 65% |
workplace_type | string | null | hybrid | Other | 10% |
created_at | string | null | 2026-10-06T20:36:36Z | Other | 100% |
updated_at | string | null | (populated when data available) | Other | 65% |
hiring_organization | string | null | (populated when data available) | Other | — |
{
"maxResults": 30
}{
"id": "ashby-7b2865a7-2796d32a-9f7c-4008-a2c5-50dd53b0f2fe",
"ats_job_id": "2796d32a-9f7c-4008-a2c5-50dd53b0f2fe",
"title": "Data Engineer, Core Experimentation",
"company": "OpenAI Zürich",
"ats_platform": "ashby",
"location": "Seattle",
"department": "Applied AI",
"employment_type": "Full-time",
"remote": true,
"workplace_type": "hybrid",
"city": "Seattle",
"country": "US",
"description": "<p style=\"min-height:1.5em\"><strong>About the Team</strong></p><p style=\"min-height:1.5em\">The Statsig team at<a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://openai.com?utm_source=chatgpt.com\"> <u>OpenAI</u></a> builds and operates the experimentation platform that powers product development, measurement, and decision-making across the company. We partner closely with product, engineering, and infrastructure teams to ensure experiments are trustworthy, statistically rigorous, and scalable to the needs of frontier AI products.</p><p style=\"min-height:1.5em\">Our mission is to help teams make better decisions through reliable experimentation. We care deeply about statistical correctness, pragmatic solutions, and building systems that researchers and engineers can trust at massive scale. The team operates at the intersection of experimentation methodology, data infrastructure, causal inference, and product analytics.</p><p style=\"min-height:1.5em\">We are looking for experienced experimentation experts who want to shape the future of experimentation in the AI era.</p><p style=\"min-height:1.5em\"><strong>About the role:</strong></p><p style=\"min-height:1.5em\">We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide business decisions, product growth, and prevent bad actors. If you're passionate about working with data and are eager to create solutions with significant impact, we'd love to hear from you. This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them train new models to deliver to users. As we continue our rapid growth, we value data-driven insights, and your contributions will play a pivotal role in our trajectory. Join us in shaping the future of OpenAI!</p><p style=\"min-height:1.5em\"><strong>In this role, you will:</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse.</p></li><li><p style=\"min-height:1.5em\">Develop canonical datasets to track key product metrics including user growth, engagement, and revenue.</p></li><li><p style=\"min-height:1.5em\">Work collaboratively with various teams, including, Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions.</p></li><li><p style=\"min-height:1.5em\">Implement robust and fault-tolerant systems for data ingestion and processing.</p></li><li><p style=\"min-height:1.5em\">Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear.</p></li><li><p style=\"min-height:1.5em\">Ensure the security, integrity, and compliance of data according to industry and company standards.</p></li></ul><p style=\"min-height:1.5em\"><strong>You might thrive in this role if you:</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience(including data engineering).</p></li><li><p style=\"min-height:1.5em\">Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.</p></li><li><p style=\"min-height:1.5em\">Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS, S3).</p></li><li><p style=\"min-height:1.5em\">Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks.</p></li><li><p style=\"min-height:1.5em\">Solid understanding of Spark and ability to write, debug and optimize Spark code.</p></li></ul><p style=\"min-height:1.5em\">This role is based in Bellevue. We use a hybrid work model and value in-person collaboration for technical design, iteration, and cross-functional partnership.<br /><br /><strong>Compensation Range:</strong> $293K - $325K USD</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><strong>About OpenAI</strong></p><p style=\"min-height:1.5em\">OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. </p><p style=\"min-height:1.5em\">We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. </p><p style=\"min-height:1.5em\">For additional information, please see <a target=\"_blank\" rel=\"noopener noreferrer\" class=\"c-link c-link--underline\" href=\"https://cdn.openai.com/policies/eeo-policy-statement.pdf\"><u>OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement</u></a>.</p><p style=\"min-height:1.5em\">Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.</p><p style=\"min-height:1.5em\">To notify OpenAI that you believe this job posting is non-compliant, please submit a report through <a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA\">this form</a>. No response will be provided to inquiries unrelated to job posting compliance.</p><p style=\"min-height:1.5em\">We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this <a target=\"_blank\" rel=\"noopener noreferrer\" class=\"c-link c-link--underline\" href=\"https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241\"><u>link</u></a>.</p><p style=\"min-height:1.5em\"><a target=\"_blank\" rel=\"noopener noreferrer nofollow\" class=\"c-link\" href=\"https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf\">OpenAI Global Applicant Privacy Policy</a></p><p style=\"min-height:1.5em\">At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.</p>",
"apply_url": "https://jobs.ashbyhq.com/openai/2796d32a-9f7c-4008-a2c5-50dd53b0f2fe/application",
"job_url": "https://jobs.ashbyhq.com/openai/2796d32a-9f7c-4008-a2c5-50dd53b0f2fe",
"language": "en",
"created_at": "2026-10-06T20:36:36Z",
"updated_at": null,
"scraped_at": "2026-10-28T12:38:33Z",
"salary_text": "$347K - $385K",
"salary_min": 347000,
"salary_max": 385000,
"salary_currency": "USD",
"salary_period": "year",
"salary_source": "stated"
}Priced at $0.001 per job when you list the companies ($1.00 per 1,000), or $0.0015 per job from keyword search across companies ($1.50 per 1,000). Duplicates and filtered-out jobs are not charged. The first runs land inside Apify's $5/mo free-tier credit — pay only for what you extract, no monthly subscription.
Leave companies empty and set keywords, and the actor searches a built-in list of 10,550 companies on Greenhouse, Lever and Ashby, biggest hirers first. It answers questions like “which companies are hiring a data engineer in Germany right now” when you don't know the companies yet. Keywords are matched against the job title. Narrow the scan with countries, location, postedWithinDays and maxCompanies (default 500). With companies set (board URLs or company names), the actor reads only those boards (company mode). Both modes return the same fields; keyword search costs $0.0015 per job, company mode $0.001.
{
"keywords": ["data engineer", "product manager"],
"countries": ["DE", "CH"],
"postedWithinDays": 14,
"maxResults": 100
}Click Open on Apify above to run greenhouse-lever-ashby-jobs-scraper in your browser - no code, no install. In the Apify console you get:
To run this actor from your own code you need an Apify API token. Get one in about a minute:
Free tier: Apify credits your account with $5 of platform usage every month, no credit card required. Enough to test any actor meaningfully. How many results that covers depends on the actor's price per result.
Run this actor from any language via the Apify REST API. Replace YOUR_TOKEN with your API token and adapt the input JSON to your needs.
curl -X POST "https://api.apify.com/v2/acts/santamaria-automations~greenhouse-lever-ashby-jobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
-H "Content-Type: application/json" \
-d '{}'// npm install apify-client
import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('santamaria-automations/greenhouse-lever-ashby-jobs-scraper').call({});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);# pip install apify-client
from apify_client import ApifyClient
client = ApifyClient('YOUR_TOKEN')
run = client.actor('santamaria-automations/greenhouse-lever-ashby-jobs-scraper').call(run_input={})
items = list(client.dataset(run['defaultDatasetId']).iterate_items())
print(items)// dotnet add package Apify.Client
using Apify.Client;
var client = new ApifyClient("YOUR_TOKEN");
var run = await client.Actor("santamaria-automations/greenhouse-lever-ashby-jobs-scraper").CallAsync(new { });
var items = await client.Dataset(run.DefaultDatasetId).ListItemsAsync();// Maven: com.apify:apify-client
import com.apify.client.ApifyClient;
ApifyClient client = new ApifyClient("YOUR_TOKEN");
ActorRun run = client.actor("santamaria-automations/greenhouse-lever-ashby-jobs-scraper").call(Map.of());
List<Map<String,Object>> items = client.dataset(run.getDefaultDatasetId()).listItems();This actor is available on the Apify MCP server, so you can drive it from any MCP-compatible AI client - Claude Desktop, Claude.ai, Cursor, VS Code, LangChain, LlamaIndex, or a custom agent - without writing any code.
https://mcp.apify.com?tools=santamaria-automations/greenhouse-lever-ashby-jobs-scraperExample prompt once connected:
"Use <code>greenhouse-lever-ashby-jobs-scraper</code> to run a scrape on my target list and give me the results as a table."
Clients that support dynamic tool discovery (Claude.ai, VS Code) receive the full input schema automatically via add-actor.
Trigger this actor from your favorite automation tool. Every platform below can call the Apify API in a few clicks - no code required.
@apify/n8n-nodes-apify).santamaria-automations/greenhouse-lever-ashby-jobs-scraper.https://api.apify.com/v2/acts/santamaria-automations~greenhouse-lever-ashby-jobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.application/json.https://api.apify.com/v2/acts/santamaria-automations~greenhouse-lever-ashby-jobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, method POST, body raw JSON.https://api.apify.com/v2/acts/santamaria-automations~greenhouse-lever-ashby-jobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.steps.http.$return_value in subsequent steps.https://api.apify.com/v2/acts/santamaria-automations~greenhouse-lever-ashby-jobs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, body type JSON.Priced at $0.001 per job when you list the companies ($1.00 per 1,000), or $0.0015 per job from keyword search across companies ($1.50 per 1,000). Duplicates and filtered-out jobs are not charged. Apify's $5/month free tier covers the first runs. No monthly subscription — you only pay for what you extract.
29 fields per result. Full field catalog is listed in the 'What you can scrape' table above — includes core identifiers, descriptive text, dates, and any category-specific data.
Scraping publicly available data is generally permitted in most jurisdictions, but GDPR applies to any personal data you collect. Review your local rules and consult a lawyer for commercial use.
Every run pulls live data at execution time. Set up a schedule (daily/hourly/weekly cron) in the Apify console to keep your dataset current automatically.