# Hiring Cafe Jobs Scraper & API: Salaries, Applicants (`s_actors/hiring-cafe-scraper`) Actor

Scrape HiringCafe (hiringcafe.com) jobs from company career sites: salary per year, applicants, views and saves per job (low-competition filter), full description, company profile, apply link and ATS. Remote, seniority, visa, no agencies, job alerts.

- **URL**: https://apify.com/s_actors/hiring-cafe-scraper.md
- **Developed by:** [Superior Actors](https://apify.com/s_actors) (community)
- **Categories:** Jobs, Lead generation, AI
- **Stats:** 2 total users, 1 monthly users, 50.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.91 / 1,000 jobs

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/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 Jobs Scraper & API: Salaries and Applicants

Scrape **HiringCafe** (hiringcafe.com, formerly hiring.cafe) jobs to Excel, CSV or JSON **without login**. HiringCafe collects jobs straight from company career sites and ATS (Greenhouse, Workday, iCIMS, Lever and 40+ more), so there are no reposted ads. What sets this Actor apart:

- **How crowded each job is.** Every row has how many HiringCafe users **applied**, **viewed** and **saved** the job. Filter for **low-competition jobs**: "at most 5 applicants".
- **Salary as posted and per year.** The employer's pay range with its period (hourly, monthly, yearly) and the same range per year, ready to sort.
- **What the job asks for**, as clean fields: years of experience, degree, skills and tools, languages, certifications, clearance, visa sponsorship, benefits.
- **The employer behind the job**: size, founded, private / public / government, HQ country, funding, website, the apply link on its own career site and its ATS. Staffing agencies can be skipped.
- **Job alerts**: schedule it and get only the jobs you have not seen.

```json
{ "keywords": ["data analyst"], "locations": ["United States"], "maxApplicants": 5, "onlyWithSalary": true }
```

No HiringCafe account, no cookies, no browser extension. Use it as a **HiringCafe jobs API**: one call returns clean JSON with the fields above.

#### What you get

**One row per job.** Real example, October 2026 (data analyst, United States, newest first):

| job | company | location | salary | applicants | views | workplace | ATS |
|---|---|---|---|---|---|---|---|
| Enforcement Analyst, Agentic Alignment | Anthropic | Boston or San Francisco or Seattle or New York | $245,000 - $285,000/yr | 1 | 2 | hybrid | Greenhouse |
| Business Systems Analyst | Anthropic | San Francisco or New York City | $270,000 - $315,000/yr | 47 | 127 | hybrid | Greenhouse |
| Principal Administrative Analyst - Finance | San Bernardino County | San Bernardino, California | $125,986 - $180,440/yr | 0 | 1 | on-site | GovernmentJobs |
| Financial Analyst | Rise Baking Company | Minneapolis, Minnesota | $85,000 - $100,000/yr | 2 | 10 | on-site | ADP |
| Senior Decision Support Analyst | Highmark Health | Pennsylvania or Kansas | $34.29 - $54.25/hr | 6 | 36 | remote | Eightfold |

In our test of 100 US data analyst jobs (October 2026) all 100 had the full description, 66 a salary listed by the employer, 96 the company size, 91 the skills, and 74 had 5 applicants or fewer on HiringCafe.

| Field | Description |
|---|---|
| `jobId`, `jobUrl`, `applyUrl`, `atsSource`, `title` | The job, its HiringCafe page, the apply link on the employer's career site and the ATS it comes from |
| `companyName`, `companyWebsite`, `companyId` | The employer (for agency and job-board posts, the real employer HiringCafe names; `postedBy` = who posted it) |
| `applicants`, `views`, `saves` | Applications, views and saves of the job by HiringCafe users |
| `location`, `cities`, `states`, `countries`, `otherLocations`, `latitude`, `longitude` | Where |
| `workplaceType` | `remote`, `hybrid` or `on-site` |
| `postedDate` | When the job was published |
| `salaryText`, `salaryMin`, `salaryMax`, `salaryCurrency`, `salaryPeriod` | Pay as listed: `hour`, `week`, `month` or `year` |
| `salaryYearlyMin`, `salaryYearlyMax`, `salarySource` | Pay per year (HiringCafe's figures); `employer` = listed in the job |
| `experienceLevel`, `yearsOfExperience`, `employmentType`, `jobCategory`, `roleType` | Seniority, years required, full-time / part-time / contract / internship, category, individual contributor or manager |
| `requirementsSummary`, `skills`, `degreeRequired`, `languages`, `certifications`, `securityClearance` | What the job asks for |
| `visaSponsorship`, `benefits` | Visa sponsorship, 401(k) matching, generous PTO, parental leave, four-day week, tuition, relocation |
| `companySize`, `companyFounded`, `companyType`, `companyHqCountry`, `companyTagline`, `companyFunding`, `companyStockSymbol`, `industries` | The employer's profile |
| `isStaffingAgency`, `postedBy`, `alsoPostedOn` | Posted by an agency or a job board; on how many other sites the same job is posted |
| `description`, `descriptionHtml` | The full job description, plain text and / or HTML |
| `searchKeyword`, `searchLocation`, `searchUrl` | Which search found the job |
| `isNew`, `scrapedAt` | Job alerts: new since the last run |

Five table views: **Jobs**, **Low competition** (applicants, views, saves), **Salaries**, **Companies** and **Requirements**.

#### How it works

| Step | What happens |
|---|---|
| 1. Search | Each keyword in each location (or your pasted HiringCafe search links) with HiringCafe's own filters: date, workplace, seniority, employment type, years of experience, salary, visa sponsorship, max applicants, sort by date or salary |
| 2. Jobs | About 100 jobs per results page, up to 250 pages per search |
| 3. Filters | Staffing agencies, title words, companies, minimum yearly salary. Jobs removed here are not charged |
| 4. Description | The full description of each kept job |
| 5. Job alerts | With **Only new jobs** on, jobs from earlier runs are skipped and not charged |

HiringCafe (Cloudflare) blocks datacenter IPs, so requests go through Apify's residential proxy. Proxy traffic is included in the price.

#### Why this Actor

| | This Actor | Typical HiringCafe scraper |
|---|---|---|
| Applicants, views, saves per job | ✅ Columns + "max applicants" filter | ❌ |
| Salary per year | ✅ As listed and per year | ⚠️ Nested hourly / weekly / monthly fields |
| Flat rows for Excel | ✅ One level, five table views | ⚠️ Nested `v5_processed_job_data` |
| Staffing agencies | ✅ Skipped on request, not charged | ❌ |
| Job alerts (only new jobs) | ✅ Built in, seen jobs not charged | ⚠️ Some |
| Filtered-out jobs | ✅ Free | ❌ Charged, or not filtered |
| Price per 1 000 jobs with descriptions | ✅ $1.14 | $1.00-3.00 |

#### Pricing

Pay per event, no subscription needed. Apify Scale and Business plans pay less:

| Event | Free and Starter plans | Scale plan | Business plan |
|---|---|---|---|
| Run start | $0.001 | $0.001 | $0.001 |
| Job (with description, salary, applicants and company profile) | $0.00114 | $0.001026 | $0.000912 |

**1 000 jobs = $1.14.** Free: jobs removed by your filters, reposts, jobs already seen by a job alert. Platform usage and residential proxy are included. Set a maximum cost per run in the run options: the Actor stops there.

#### Job alerts

1. Set your search and filters, turn on **Only new jobs**, give the alert a **Monitor name**.
2. Save it as a task and add a **schedule** (every morning, with "Posted within: Past 24 hours").
3. Send the results by email, Slack, Google Sheets, Make, Zapier or **n8n** with Apify integrations.

The first run returns the current jobs; next runs return only jobs not seen before, and those are not charged.

#### Other job tools

| Actor | What it does |
|---|---|
| [LinkedIn Jobs Scraper](https://apify.com/s_actors/linkedin-jobs-scraper) | LinkedIn jobs without login: a remote filter that works, salaries from descriptions, job alerts |
| [Glassdoor Jobs Scraper](https://apify.com/s_actors/glassdoor-jobs-scraper) | Glassdoor jobs with salary ranges and all 9 company ratings, filters by work-life balance and pay ratings |
| [Wellfound Jobs Scraper](https://apify.com/s_actors/wellfound-jobs-scraper) | Startup jobs from Wellfound (AngelList): salary and equity as numbers, stage, YC, visa sponsorship, job alerts |
| [Dice Jobs Scraper](https://apify.com/s_actors/dice-jobs-scraper) | Dice.com tech jobs with W2, C2C and 1099 contract types, recruiter apply emails, visa sponsorship and reposts |
| [StepStone Jobs Scraper](https://apify.com/s_actors/stepstone-jobs-scraper) | StepStone.de and .at jobs with salary estimates for most jobs, exact matches only, English jobs in Germany |
| [XING Jobs Scraper](https://apify.com/s_actors/xing-jobs-scraper) | XING jobs in Germany, Austria and Switzerland: salaries per year, English-only jobs, more than 1,000 jobs per search |
| [Google Jobs Scraper](https://apify.com/s_actors/google-jobs-scraper) | Google Jobs results with descriptions, highlights and every apply link |

#### FAQ

**Can I use it as a HiringCafe API?** Yes. This Actor reads the same data the website shows to any visitor and returns it as JSON through the Apify API.

**What do applicants, views and saves mean?** How many HiringCafe users clicked Apply, opened or saved the job on HiringCafe. They show how much attention a job gets, not the employer's total applicants.

**How many jobs per search?** About 100 per page, up to 250 pages (~25 000 jobs) per search. For more, split by location or filters. Jobs found twice are returned once.

**Which countries?** Any country HiringCafe covers: use a city, state or country as the location ("Germany", "London", "Toronto", "India"). A state or country also includes remote jobs open to it. Salaries stay in the job's currency.

**Can I paste my HiringCafe search?** Yes: copy the address of your search on hiringcafe.com (it contains `searchState=`) into **HiringCafe search links**. All its filters are kept.

**Do I need a HiringCafe account?** No. Only pages any visitor can open are read.

#### Use with the API and AI agents

Run it from the Apify API, the JavaScript or Python client, **n8n**, Make or Zapier, or from AI agents through the [Apify MCP server](https://mcp.apify.com) (Claude, ChatGPT, Cursor). One call: `POST https://api.apify.com/v2/acts/s_actors~hiring-cafe-scraper/run-sync-get-dataset-items` with the input above returns the jobs as JSON. Set **Job description** to "None" for smaller answers.

#### Is it legal?

The Actor reads public HiringCafe job listings that anyone can open without an account, as a visitor does. It does not log in or collect personal data. Use the data according to the laws that apply to you (GDPR and similar) and HiringCafe's terms.

# Actor input Schema

## `keywords` (type: `array`):

One per line, as in the HiringCafe search box: "data analyst", "registered nurse", "python". Each keyword is searched in each location. Leave empty to get all jobs of the locations.

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

City, state or country as the HiringCafe location box finds it: "New York", "Texas", "London", "Germany", "India". A country also includes remote jobs open to it. Empty = United States.

## `maxJobsPerSearch` (type: `integer`):

Per keyword and location (and per search link). A HiringCafe page holds about 100 jobs; a search reads up to 250 pages.

## `postedWithin` (type: `string`):

HiringCafe's date filter: when the job appeared on the company's career site.

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

HiringCafe's order of results.

## `maxApplicants` (type: `integer`):

Only jobs with at most this many applications from HiringCafe users, e.g. 5 = jobs few people have applied to yet. Every row has applicants, views and saves.

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

Only these workplace types. Empty = all.

## `experienceLevels` (type: `array`):

Only these seniority levels. Empty = all.

## `employmentTypes` (type: `array`):

Only these employment types. Empty = all.

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

Only jobs asking for at most this many years in the role (jobs that do not say are kept).

## `onlyWithSalary` (type: `boolean`):

Only jobs whose pay is listed by the employer.

## `minYearlySalary` (type: `integer`):

Only jobs whose pay range reaches this amount per year, in the job's currency. Implies "Only jobs with salary".

## `visaSponsorship` (type: `boolean`):

Only jobs that mention visa sponsorship.

## `excludeStaffingAgencies` (type: `boolean`):

Skip jobs posted by staffing and recruiting agencies or job boards on behalf of another employer.

## `titleInclude` (type: `array`):

Keep only jobs whose title contains one of these words (case-insensitive), e.g. "senior", "lead".

## `titleExclude` (type: `array`):

Skip jobs whose title contains one of these words, e.g. "intern", "manager", "sales".

## `companyExclude` (type: `array`):

Skip jobs of companies whose name contains one of these words.

## `skipDuplicates` (type: `boolean`):

A job with the same title, company and location as one already in the results is skipped and not charged.

## `onlyNewJobs` (type: `boolean`):

Return only jobs not returned by earlier runs with the same monitor name. Jobs seen before are free.

## `monitorName` (type: `string`):

Separate job alert lists: runs with the same name share the jobs already seen.

## `searchUrls` (type: `array`):

hiringcafe.com (or hiring.cafe) links with ?searchState= copied from your browser: every filter of the link is kept.

## `jobUrls` (type: `array`):

Full details of specific jobs: hiringcafe.com/job/... links or their 16-character IDs.

## `radiusMiles` (type: `integer`):

For a city location: jobs within this distance (HiringCafe default 50).

## `descriptionFormat` (type: `string`):

Format of the full job description.

## `proxyConfiguration` (type: `object`):

HiringCafe (Cloudflare) blocks datacenter IPs: keep Residential. Its traffic is included in the job price.

## `maxConcurrency` (type: `integer`):

How many HiringCafe requests run at once.

## `debugLog` (type: `boolean`):

Log every failed attempt.

## Actor input object example

```json
{
  "keywords": [
    "data analyst"
  ],
  "locations": [
    "United States"
  ],
  "maxJobsPerSearch": 100,
  "postedWithin": "past3Months",
  "sortBy": "date",
  "onlyWithSalary": false,
  "visaSponsorship": false,
  "excludeStaffingAgencies": false,
  "skipDuplicates": true,
  "onlyNewJobs": false,
  "monitorName": "default",
  "radiusMiles": 50,
  "descriptionFormat": "text",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  },
  "maxConcurrency": 10,
  "debugLog": false
}
```

# Actor output Schema

## `overview` (type: `string`):

The main job fields.

## `competition` (type: `string`):

Applications, views and saves by HiringCafe users per job.

## `salaries` (type: `string`):

Listed pay as posted and per year.

## `companies` (type: `string`):

The employer behind each job: size, founded, type, website, ATS.

## `requirements` (type: `string`):

What each job asks for, as HiringCafe reads the posting.

## `all` (type: `string`):

Every field of every job.

# 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 = {
    "keywords": [
        "data analyst"
    ],
    "locations": [
        "United States"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "US"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("s_actors/hiring-cafe-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 = {
    "keywords": ["data analyst"],
    "locations": ["United States"],
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "US",
    },
}

# Run the Actor and wait for it to finish
run = client.actor("s_actors/hiring-cafe-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 '{
  "keywords": [
    "data analyst"
  ],
  "locations": [
    "United States"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}' |
apify call s_actors/hiring-cafe-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,s_actors/hiring-cafe-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/H7NBkva7tDaDsrg0L/builds/gjdVcMXjszILxqD7b/openapi.json