Hiring.cafe Job Listings & Salary Filter Scraper

What it returns

31 fields from the published dataset schema. Export as JSON, CSV or Excel, or read the dataset through the Apify API.

• idUnique job ID
• objectIDSearch index object ID
• sourceSource ATS (greenhouse, lever, workable, successfactors, etc.)
• boardTokenJob board token
• applyUrlApply URL (redirects to original source)
• titleJob title
• coreJobTitleCanonicalized core job title
• categoryJob category (e.g., Engineering, Data, Marketing)
• seniorityLevelSeniority (Entry, Mid, Senior, Director, Executive)
• roleTypeIndividual Contributor / People Manager
• commitmentFull Time / Part Time / Contract / etc.
• workplaceTypeRemote / Hybrid / Onsite
• workplaceCountriesCountry codes
• workplaceStatesState / region names
• workplaceCitiesCity names
• latitudePrimary geolocation latitude
• longitudePrimary geolocation longitude
• salaryMinMinimum salary (yearly, if disclosed)
• salaryMaxMaximum salary (yearly, if disclosed)
• salaryCurrencySalary currency code
• salaryFrequencySalary frequency (Yearly, Hourly, etc.)
• technicalToolsTechnologies / tools mentioned
• minYearsExperienceMinimum years of experience required (0 if not specified)
• bachelorsDegreeRequirementBachelor's degree requirement level
• companyNameHiring company name
• companyWebsiteCompany homepage URL
• companyIndustriesCompany industry tags
• companyEmployeesEmployee count (string since ranges used)
• companyHqCountryCompany HQ country code
• isExpiredWhether the listing is expired

Not in the schema among the core Greenhouse job boards fields: departments, employment, published, apply. The field matrix shows which other tools return them.

How it differs from the other Greenhouse job boards Actors

Among the 2 catalogue Actors for Greenhouse job boards with a published schema, only this one returns id, objectID, boardToken, category, seniorityLevel, roleType, commitment, workplaceType.

Pick another Actor if you need

Input

Example input

Built from the input form's published example values and defaults.

{
  "searchQueries": [
    "software engineer"
  ],
  "workplaceTypes": [
    "Remote",
    "Hybrid",
    "Onsite"
  ],
  "onlyTransparentSalaries": false,
  "minYearsExperience": 0,
  "maxYearsExperience": 20,
  "sortBy": "default",
  "seniorityLevels": [
    "No Prior Experience Required",
    "Entry Level",
    "Mid Level",
    "Senior Level",
    "Director",
    "Executive"
  ],
  "commitmentTypes": [
    "Full Time",
    "Part Time",
    "Contract",
    "Internship",
    "Temporary",
    "Seasonal",
    "Volunteer"
  ],
  "dateFetchedPastNDays": 30,
  "maxItems": 3
}

Inputs for real jobs and stated limits

From the README of the Actor's latest build, read 2026-11-13.

Remote senior engineering roles with disclosed pay

{
  "searchQueries": [
    "software engineer"
  ],
  "workplaceTypes": [
    "Remote"
  ],
  "seniorityLevels": [
    "Senior Level",
    "Director"
  ],
  "onlyTransparentSalaries": true,
  "salaryCurrency": "USD",
  "salaryFrequency": "Yearly",
  "minSalary": 150000,
  "maxItems": 100
}

Cleared roles near a specific company

{
  "searchQueries": [],
  "excludedCompanyNames": [
    "Acme Corp"
  ],
  "securityClearances": [
    "Secret",
    "Top Secret"
  ],
  "dateFetchedPastNDays": 14,
  "maxItems": 50
}

Contract/part-time roles mentioning a specific tech stack

{
  "searchQueries": [
    "data engineer"
  ],
  "commitmentTypes": [
    "Contract",
    "Part Time"
  ],
  "technologyKeywordsQuery": "airflow",
  "maxItems": 30
}

Run it from code or an AI agent

The same run through the Apify API, with the example input. You need an Apify API token; the run is billed to your account at the Store price.

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "searchQueries": [
        "software engineer"
    ],
    "workplaceTypes": [
        "Remote",
        "Hybrid",
        "Onsite"
    ],
    "onlyTransparentSalaries": False,
    "minYearsExperience": 0,
    "maxYearsExperience": 20,
    "sortBy": "default",
    "seniorityLevels": [
        "No Prior Experience Required",
        "Entry Level",
        "Mid Level",
        "Senior Level",
        "Director",
        "Executive"
    ],
    "commitmentTypes": [
        "Full Time",
        "Part Time",
        "Contract",
        "Internship",
        "Temporary",
        "Seasonal",
        "Volunteer"
    ],
    "dateFetchedPastNDays": 30,
    "maxItems": 3
}

run = client.actor("nimbryxo-studio/hiring-cafe-job-listings-and-salary-filter-scraper").call(run_input=run_input)
if run is None:
    raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
    "searchQueries": [
        "software engineer"
    ],
    "workplaceTypes": [
        "Remote",
        "Hybrid",
        "Onsite"
    ],
    "onlyTransparentSalaries": false,
    "minYearsExperience": 0,
    "maxYearsExperience": 20,
    "sortBy": "default",
    "seniorityLevels": [
        "No Prior Experience Required",
        "Entry Level",
        "Mid Level",
        "Senior Level",
        "Director",
        "Executive"
    ],
    "commitmentTypes": [
        "Full Time",
        "Part Time",
        "Contract",
        "Internship",
        "Temporary",
        "Seasonal",
        "Volunteer"
    ],
    "dateFetchedPastNDays": 30,
    "maxItems": 3
};

const run = await client.actor("nimbryxo-studio/hiring-cafe-job-listings-and-salary-filter-scraper").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

curl -X POST "https://api.apify.com/v2/actors/nimbryxo-studio~hiring-cafe-job-listings-and-salary-filter-scraper/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"searchQueries":["software engineer"],"workplaceTypes":["Remote","Hybrid","Onsite"],"onlyTransparentSalaries":false,"minYearsExperience":0,"maxYearsExperience":20,"sortBy":"default","seniorityLevels":["No Prior Experience Required","Entry Level","Mid Level","Senior Level","Director","Executive"],"commitmentTypes":["Full Time","Part Time","Contract","Internship","Temporary","Seasonal","Volunteer"],"dateFetchedPastNDays":30,"maxItems":3}'

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=nimbryxo-studio/hiring-cafe-job-listings-and-salary-filter-scraper",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

Free n8n workflow and agent skill for this tool

No code: the hiring.cafe job listings scraper n8n workflow runs this Actor with a starter input, dedupes the rows and can append them to Google Sheets. Import it from its URL into n8n.

For Claude Code, Codex, Cursor and other agents, the agent skill installs in one line:

What a run costs

The result rate falls on higher Apify plans. Each figure is the published per-result rate times the number of results.

• Every run also has a start event, charged per GB of memory (minimum one): $0.10 on Free, $0.03 on Business. At its default memory of 4 GB a run starts at $0.40 on Free. Fewer, larger runs keep this small.
• The Free plan includes $5 of monthly usage (Apify pricing, checked 2026-11-11); at the Free rate that covers at most about 5,050 results, less start events and platform usage.
• Worked example: 10,000 results in one run on the Free plan cost $10.30 ($9.90 for results + $0.40 start), plus Apify platform usage (compute), billed separately by Apify.
• Pay per event. Platform usage (compute) is billed by Apify on top of the event prices. Compare other tools in the cost estimator.

Where it fits among Greenhouse job boards routes

It ranks 2 of 2 catalogue Actors for Greenhouse job boards on the published formula (fields, price, reliability, freshness). Its line is highlighted on the map.

What people use it for

• filter job listings
• compare salary ranges
• find roles by technology

Other catalogue Actors for Greenhouse job boards

Similar Actors

Questions people ask

Sources

• Hiring.cafe Job Listings & Salary Filter Scraper on Apify Store
• Published build with input and output schema (JSON)
• Greenhouse Job Board API documentation