datagrit › Jobs & salaries › Ashby Salary Scraper - Startup Job Pay Ranges

Ashby Salary Scraper - Startup Job Pay Ranges

Ashby job postings with normalized annual salary ranges, equity flags and new-since-last-run detection.

Ashby Salary Scraper reads the public job boards of companies that hire through Ashby and returns every posting as a clean record, with the published salary range converted to yearly amounts. Pay is the point: you can keep only postings with a salary, set a minimum annual pay, pick the currency of the pay range, and get equity, bonus and commission flags plus every location pay tier next to each role. Export the data as JSON, CSV or Excel, call it through the Apify API, or plug it into n8n, Make and AI agents through MCP.

Who is it for?

• Recruiters and sourcers who want a feed of new roles at fast-growing companies, filtered by team and location.
• Job seekers and career coaches who compare pay ranges across startups before negotiating.
• Compensation and HR analysts who benchmark salary bands by role, level, location and currency.
• Sales teams who use hiring as a buying signal and want to know which companies are opening roles right now.

How to use it

1. Enter the companies you want as Ashby board names or URLs. The name is the last part of the careers link: jobs.ashbyhq.com/ramp means the name is ramp. Some board names contain spaces, such as jobs.ashbyhq.com/the%20browser%20company; paste the link as it is or type the browser company.
2. Add filters if you need them: title keywords, department, team, location, fully remote only, only postings with a salary, minimum annual salary, salary currency, or how recent the posting is.
3. For a recurring feed, switch on Only postings new since my last run and schedule the Actor. Each run then returns only the matching postings it has not delivered to you before.
4. Download the dataset or fetch it from the API.

What data do you get?

Each record contains the title, department, team, employment type, primary and secondary locations with country, region and city plus one allLocations column that joins them, the workplace type and Ashby's remote flag, publication date and age, the posting and application links, and the compensation: the headline range as published with its interval and currency, the same range annualised, equity, bonus and commission flags, the salary text shown on the posting, the number of location-based pay tiers with their currencies and summaries. The full description text is available on request.

Annualising multiplies monthly pay by 12, weekly by 52, daily by 260 and hourly by 2080. Amounts stay in the currency of the headline range: the Actor does not convert currencies, so combine the minimum salary filter with the currency filter.

What the live boards looked like

Measured by us on 30 September 2026 on the live Ashby API: the openai board listed 838 postings, 677 of them with a salary; ramp listed 155 postings, 148 with a salary (144 yearly, 4 monthly ranges); zapier listed 11 postings, 9 with a USD headline range, 8 of which add a Canadian pay tier. Boards such as deel and vercel existed but had no open postings.

Remote, hybrid and on-site

Ashby sets its isRemote flag to true for hybrid roles as well: on openai all 524 Hybrid postings carried it (measured 30 September 2026). The Remote roles only switch therefore keeps workplace type Remote and drops Hybrid and on-site roles; on that day it returned 29 of 838 openai postings (24 marked Remote, 5 without a workplace type whose location says remote, such as "Bangalore - Remote").

Is it legal to scrape this data?

The Actor reads only the public job board API that Ashby offers to employers for publishing their open roles. It does not log in, bypass access controls or collect candidate data. Job postings can contain personal data such as a recruiter name in the description, so if you request descriptions you are responsible for handling them in line with applicable data protection law. This description is not legal advice.

Output fields

Every result is one flat record, so it drops straight into a spreadsheet, a database or a CRM.

Sample record

{
  "company": "ramp",
  "id": "34413f8d-26bf-4bbc-8ade-eb309a0e2245",
  "title": "Security Engineer, Cloud",
  "department": "Engineering",
  "team": "Backend",
  "employmentType": "FullTime",
  "location": "New York, NY (HQ)",
  "otherLocations": "Remote (Canada); Miami, FL",
  "allLocations": "New York, NY (HQ); Remote (Canada); Remote (US); Miami, FL; New York City, NY, USA",
  "country": "USA",
  "region": "NY",
  "city": "New York City",
  "isRemote": true,
  "workplaceType": "Hybrid",
  "publishedAt": "2026-04-07T17:12:35.753Z",
  "daysSincePublished": 175,
  "jobUrl": "https://jobs.ashbyhq.com/ramp/34413f8d-26bf-4bbc-8ade-eb309a0e2245",
  "applyUrl": "https://jobs.ashbyhq.com/ramp/34413f8d-26bf-4bbc-8ade-eb309a0e2245/application",
  "hasSalary": true,
  "salaryMin": 211400,
  "salaryMax": 290600,
  "salaryCurrency": "USD",
  "salaryInterval": "1 YEAR",
  "salaryAnnualMin": 211400,
  "salaryAnnualMax": 290600,
  "equityOffered": true,
  "bonusMentioned": false,
  "commissionMentioned": false,
  "salarySummary": "$211.4K - $290.6K",
  "payTiers": 1,
  "payTierCurrencies": "USD, CAD",
  "payTierSummaries": null,
  "descriptionText": null,
  "found": true,
  "scrapedAt": "2026-09-30T08:00:00.000Z"
}

Input

Call it from your code

Run the Actor and get the results in one request. Replace YOUR_APIFY_TOKEN with the token from your Apify account settings.

curl -X POST "https://api.apify.com/v2/acts/datagrit~ashby-salary-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"companies":["ramp"],"onlyWithSalary":true,"maxItems":50}'

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('datagrit/ashby-salary-scraper').call({
  "companies": [
    "ramp"
  ],
  "onlyWithSalary": true,
  "maxItems": 50
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.length, items[0]);

from apify_client import ApifyClient
import os

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("datagrit/ashby-salary-scraper").call(run_input={
  "companies": [
    "ramp"
  ],
  "onlyWithSalary": True,
  "maxItems": 50
})
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(len(items), items[0] if items else None)

Frequently asked questions

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