# Hiring.cafe Job Listings & Salary Filter Scraper (`nimbryxo-studio/hiring-cafe-job-listings-and-salary-filter-scraper`) Actor

Pull job postings aggregated by hiring.cafe and narrow them by salary range, seniority, workplace type, security clearance, required tech stack, and company.

- **URL**: https://apify.com/nimbryxo-studio/hiring-cafe-job-listings-and-salary-filter-scraper.md
- **Developed by:** [Nimbryxo-studio](https://apify.com/nimbryxo-studio) (community)
- **Categories:** Jobs, Automation, Developer tools
- **Features:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.49 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Hiring.cafe Job Listings & Salary Filter Scraper

Hiring.cafe aggregates job postings pulled directly from Greenhouse, Lever, Workable, Workday, SuccessFactors, BambooHR, and thousands of other applicant-tracking systems and company career pages. This actor queries that aggregated index and returns structured job records, so you can filter on dimensions — salary band, security clearance, required tech stack — that most job boards don't expose in their own search UI.

### What this actor does

- Runs one or more keyword searches against hiring.cafe's job index and collects matching postings.
- Narrows results by workplace type, seniority, commitment type, years of experience, security clearance, and salary range/currency/frequency.
- Matches separately against job title text, job description text, parsed technology tags, and parsed requirement bullets, so you can target precise phrasing rather than a single blended search box.
- Includes company-level filters (whitelist/blacklist by name or keyword, industry include/exclude) so you can scope a run to or away from specific employers.
- Returns one record per job with company, compensation, and location detail; fields the source doesn't provide for a given job are left out of that record.

### Output per job

- `id` – unique hiring.cafe job ID.
- `objectID` – search-index object ID for the posting.
- `source` – originating ATS (e.g. greenhouse, lever, workable, successfactors).
- `boardToken` – job board token used by the source ATS.
- `applyUrl` – link back to the original listing on the source ATS.
- `title` – job title as posted.
- `coreJobTitle` – hiring.cafe's canonicalized version of the title.
- `category` – job category, e.g. Engineering, Data, Marketing.
- `seniorityLevel` – seniority classification, e.g. Entry Level, Senior Level, Director.
- `roleType` – Individual Contributor or People Manager.
- `commitment` – Full Time, Part Time, Contract, Internship, Temporary, Seasonal, or Volunteer.
- `workplaceType` – Remote, Hybrid, or Onsite.
- `workplaceCountries` – country codes where the role is based.
- `workplaceStates` – state or region names where the role is based.
- `workplaceCities` – city names where the role is based.
- `latitude` / `longitude` — primary geolocation of the listed workplace, when hiring.cafe provides one.
- `salaryMin` / `salaryMax` — disclosed compensation range, omitted when the posting does not publish a transparent salary.
- `salaryCurrency` – currency code for the disclosed range.
- `salaryFrequency` – pay period for the disclosed range (Yearly, Monthly, Weekly, Daily, Hourly).
- `technicalTools` – technologies/tools mentioned in the posting.
- `minYearsExperience` – minimum years of experience parsed from the posting.
- `bachelorsDegreeRequirement` – degree requirement level, when stated.
- `companyName` – hiring company name.
- `companyWebsite` – company homepage URL.
- `companyIndustries` – industry tags for the hiring company.
- `companyEmployees` – employee-count bucket for the hiring company.
- `companyHqCountry` – country code of the company's headquarters.
- `isExpired` – whether hiring.cafe has marked the listing expired.
- `scrapedAt` – ISO 8601 timestamp of when this actor fetched the record.

### Input

| Field | Type | Default | Description |
|---|---|---|---|
| `searchQueries` | Array of strings | – | Keywords searched against hiring.cafe (e.g. `"software engineer"`). Leave empty for unfiltered results. |
| `workplaceTypes` | Array (select) | `["Remote","Hybrid","Onsite"]` | Restrict to these workplace types. |
| `locations` | Array | – | Location filter: plain strings (`"San Francisco"`, `"United States"`) or objects with `label`, `value`, `countryCode`, `stateCode`, `city`, `lat`, `lng`. Empty = global. |
| `jobTitleQuery` | String | – | Only jobs whose title contains this phrase. |
| `jobDescriptionQuery` | String | – | Only jobs whose description contains this phrase. |
| `technologyKeywordsQuery` | String | – | Match against parsed technology tags (e.g. `python`, `kubernetes`). |
| `requirementsKeywordsQuery` | String | – | Match against parsed requirement bullets. |
| `companyNames` | Array of strings | – | Only return jobs from these companies. |
| `excludedCompanyNames` | Array of strings | – | Exclude jobs from these companies. |
| `companyKeywords` | Array of strings | – | Substring match against company name (include). |
| `excludedCompanyKeywords` | Array of strings | – | Substring match against company name (exclude). |
| `industries` | Array of strings | – | Only companies in these industries. |
| `excludedIndustries` | Array of strings | – | Exclude companies in these industries. |
| `salaryCurrency` | String (select) | `""` (any) | Currency used to evaluate `minSalary`/`maxSalary`. |
| `salaryFrequency` | String (select) | `""` (any) | Pay period used to evaluate `minSalary`/`maxSalary`. |
| `minSalary` | Integer | – | Lower compensation bound, combined with currency + frequency. |
| `maxSalary` | Integer | – | Upper compensation bound. |
| `onlyTransparentSalaries` | Boolean | `false` | Drop jobs that don't publish a salary range. |
| `minYearsExperience` | Integer | `0` | Only jobs requiring at least this many years of experience. |
| `maxYearsExperience` | Integer | `20` | Only jobs requiring at most this many years of experience. |
| `securityClearances` | Array (select) | – | Only jobs requiring one of these clearance levels (e.g. `Secret`, `Top Secret`). |
| `sortBy` | String (select) | `"default"` | Result order: `default` (relevance), `newest`, `oldest`, `salary_high_to_low`, `salary_low_to_high`. |
| `seniorityLevels` | Array (select) | `["No Prior Experience Required", "Entry Level", "Mid Level", "Senior Level", "Director", "Executive"]` | Restrict to these seniority levels. |
| `commitmentTypes` | Array (select) | `["Full Time", "Part Time", "Contract", "Internship", "Temporary", "Seasonal", "Volunteer"]` | Restrict to these commitment types. |
| `dateFetchedPastNDays` | Integer | `30` | Only include jobs fetched within the last N days. |
| `maxItems` | Integer | `50` | Maximum number of jobs to return across all queries. |

#### Example: remote senior engineering roles with disclosed pay

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

#### Example: cleared roles near a specific company

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

#### Example: contract/part-time roles mentioning a specific tech stack

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

### Browser and network behavior

HiringCafe is protected by Cloudflare. The actor uses a direct headful browser first and
falls back to a residential proxy only when the direct browser is blocked. No proxy is
required for a successful local run.

### Use cases

- **Talent intelligence** – track hiring velocity for a role, company, or region over time.
- **Compensation benchmarking** – aggregate disclosed salary ranges by role, seniority, and location.
- **Remote-work research** – isolate `workplaceTypes: ["Remote"]` postings to study the remote-first job market.
- **ATS/tooling market share** – group results by `source` to see which applicant-tracking systems dominate hiring.
- **Skills-demand tracking** – aggregate `technicalTools` across postings to spot which technologies are rising in demand.
- **Targeted job alerts** – run narrow filters (keyword + location + seniority) on a schedule to catch new matching postings.

### FAQ

**Does this cover jobs outside the US?**
Yes. hiring.cafe aggregates listings globally; use `locations`, `workplaceCountries` in the output, or leave `locations` empty for worldwide results.

**Why are salary fields missing on some jobs?**
Many postings do not disclose compensation. The actor omits salary fields for non-transparent postings instead of emitting `0`. Set `onlyTransparentSalaries` to `true` to keep only listings that publish a range.

**What's the difference between `seniorityLevel` and `minYearsExperience`?**
`seniorityLevel` is hiring.cafe's categorical tag (e.g. `Mid Level`, `Senior Level`). `minYearsExperience` is the numeric minimum years parsed from the job description text, and may be `0` when the posting doesn't state a number.

**How do `searchQueries` and the other text filters interact?**
`searchQueries` is the general keyword search hiring.cafe runs against the whole posting. `jobTitleQuery`, `jobDescriptionQuery`, `technologyKeywordsQuery`, and `requirementsKeywordsQuery` are additional, more targeted filters applied on top of that search.

**Can I pull postings from one employer only?**
Yes, set `companyNames` to that employer's name (or use `companyKeywords` for a partial match). Use `excludedCompanyNames`/`excludedCompanyKeywords` to do the opposite.

**Does `dateFetchedPastNDays` reflect the original posting date?**
No — it reflects when hiring.cafe's own index last fetched the listing, which is the freshness signal the source provides.

**Are expired listings included?**
hiring.cafe's active search only surfaces current postings, so `isExpired` is normally `false`; the field is kept in the output for completeness.

**Is this affiliated with hiring.cafe?**
No. This actor is an independent tool that queries hiring.cafe's public job search and is not affiliated with or endorsed by hiring.cafe.

# Actor input Schema

## `searchQueries` (type: `array`):

Keywords to search on hiring.cafe (e.g., 'software engineer', 'data scientist'). Empty array or empty string returns unfiltered results.

## `workplaceTypes` (type: `array`):

Filter by workplace type. Defaults to all three.

## `locations` (type: `array`):

Filter to jobs in these locations. Pass plain strings like \["San Francisco", "London", "United States"] OR objects with {label, value, countryCode, stateCode, city, lat, lng}. Empty list = global (all locations). Hiring.cafe matches both city names and country names.

## `jobTitleQuery` (type: `string`):

Filter to jobs whose TITLE contains this phrase. More precise than the general search query.

## `jobDescriptionQuery` (type: `string`):

Filter to jobs whose DESCRIPTION contains this phrase.

## `technologyKeywordsQuery` (type: `string`):

Match against the parsed tech-stack tags (e.g. python, react, kubernetes).

## `requirementsKeywordsQuery` (type: `string`):

Match against parsed requirement bullets.

## `companyNames` (type: `array`):

Only return jobs from these companies. Empty = all companies.

## `excludedCompanyNames` (type: `array`):

Exclude jobs from these companies.

## `companyKeywords` (type: `array`):

Substring match on company name.

## `excludedCompanyKeywords` (type: `array`):

Substring match on company name; exclude these.

## `industries` (type: `array`):

Filter to companies in these industries.

## `excludedIndustries` (type: `array`):

Exclude companies in these industries.

## `salaryCurrency` (type: `string`):

Filter salary thresholds against this currency. Empty = any.

## `salaryFrequency` (type: `string`):

Pay period for salary thresholds.

## `minSalary` (type: `integer`):

Lower bound for compensation. Combined with currency + frequency.

## `maxSalary` (type: `integer`):

Upper bound for compensation.

## `onlyTransparentSalaries` (type: `boolean`):

Exclude jobs that dont publish a salary range.

## `minYearsExperience` (type: `integer`):

Filter to jobs requiring at least this many years experience.

## `maxYearsExperience` (type: `integer`):

Filter to jobs requiring at most this many years experience.

## `securityClearances` (type: `array`):

Filter by clearance level. Empty = all jobs.

## `sortBy` (type: `string`):

Result ordering.

## `seniorityLevels` (type: `array`):

Filter by seniority level.

## `commitmentTypes` (type: `array`):

Filter by employment commitment.

## `dateFetchedPastNDays` (type: `integer`):

Only include jobs fetched within the last N days.

## `maxItems` (type: `integer`):

Maximum number of jobs to return across all queries.

## Actor input object example

```json
{
  "searchQueries": [
    "software engineer"
  ],
  "workplaceTypes": [
    "Remote",
    "Hybrid",
    "Onsite"
  ],
  "locations": [],
  "salaryCurrency": "",
  "salaryFrequency": "",
  "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
}
```

# Actor output Schema

## `jobs` (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 = {
    "searchQueries": [
        "software engineer"
    ],
    "workplaceTypes": [
        "Remote",
        "Hybrid",
        "Onsite"
    ],
    "locations": [],
    "onlyTransparentSalaries": false,
    "maxItems": 3
};

// Run the Actor and wait for it to finish
const run = await client.actor("nimbryxo-studio/hiring-cafe-job-listings-and-salary-filter-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 = {
    "searchQueries": ["software engineer"],
    "workplaceTypes": [
        "Remote",
        "Hybrid",
        "Onsite",
    ],
    "locations": [],
    "onlyTransparentSalaries": False,
    "maxItems": 3,
}

# Run the Actor and wait for it to finish
run = client.actor("nimbryxo-studio/hiring-cafe-job-listings-and-salary-filter-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 '{
  "searchQueries": [
    "software engineer"
  ],
  "workplaceTypes": [
    "Remote",
    "Hybrid",
    "Onsite"
  ],
  "locations": [],
  "onlyTransparentSalaries": false,
  "maxItems": 3
}' |
apify call nimbryxo-studio/hiring-cafe-job-listings-and-salary-filter-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,nimbryxo-studio/hiring-cafe-job-listings-and-salary-filter-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/JJdosa9DRCovihtJD/builds/CK5WU0UkfDmmrJ4AO/openapi.json