# Jobs with Salary from Employer Career Sites (`jobven/jobs-with-salary`) Actor

Job postings that state a salary, collected from employer career sites and ATS boards, with skills, work location and apply URLs. Filter by salary range, title, location, skills and posting date.

- **URL**: https://apify.com/jobven/jobs-with-salary.md
- **Developed by:** [Jobven](https://apify.com/jobven) (community)
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.33 / 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

## Jobs with Salary from Employer Career Sites

Job postings that state a salary, collected directly from employer career sites and the applicant tracking systems behind them (Workday, SuccessFactors, Greenhouse, Ashby, iCIMS, Oracle and others). Every board is re-read daily. Over 1.1 million jobs with a stated salary from more than 9,200 employers.

### What you get

Each job carries:

- **Salary** as stated in the posting: minimum, maximum, currency and period (hourly, monthly, annual), plus `annualMin` and `annualMax`, the yearly pay in the same currency
- **Title** and the **full description** in Markdown, HTML or plain text
- **Company** name and website
- **Locations** with country codes, and whether the job is remote, hybrid or on-site
- **Employment type** and **experience level**
- **Skills**, benefits, industry and required language
- **Visa sponsorship** and **relocation** where the posting states them
- **Posted, listed and closed dates** (Unix seconds)
- The employer's **apply URL**
- The **platform** the posting is published on, such as `workday`, `greenhouse` or `phenom`

### How to use it

1. Set any filters: salary range, job title, description words, country, state, city, work location, employment type, experience level, skills, industry, platform, visa sponsorship, relocation and posting date.
2. Set **Maximum results**. The run stops there, or earlier when no more jobs match.
3. Run it, then download the dataset as JSON, CSV or Excel, or read it through the Apify API.

Leave every filter empty for the newest open jobs with a stated salary. Choose **Closed** under Job status for jobs that have closed.

#### Example input

```json
{
  "q": "registered nurse",
  "country": "US",
  "state": "CA",
  "minSalary": 90000,
  "postedAfter": "14 days",
  "maxResults": 500
}
```

#### Example output

**Description format** sets which description fields each job carries: `descriptionMarkdown` (the default), `description` (HTML), `descriptionPlain`, or all three.

```json
{
  "id": "4c2a9f6e-1d3b-4e8a-b7c5-9e0f1a2b3c4d",
  "title": "Registered Nurse, Emergency Department",
  "descriptionMarkdown": "## About the role\n\nYou will...",
  "locations": [{ "addressLocality": "San Diego", "addressRegion": "CA", "addressCountry": "US", "workLocation": "onsite" }],
  "remoteType": "onsite",
  "employmentType": "full_time",
  "experienceLevel": "mid",
  "salary": { "min": 98000, "max": 142000, "currency": "USD", "period": "annual", "annualMin": 98000, "annualMax": 142000 },
  "skills": { "primarySkills": ["Patient Care", "Triage"], "secondarySkills": ["Epic"], "softSkills": ["Teamwork"] },
  "industry": ["healthcare_medical"],
  "postedAt": 1792108800,
  "listedAt": 1792112400,
  "closedAt": null,
  "applyUrl": "https://careers.example.com/jobs/24680",
  "ats": "phenom",
  "status": "active",
  "companies": [{ "name": "Example Health", "website": "https://example.com" }]
}
```

#### Continue where a run stopped

When a run stops at **Maximum results** or your spending limit and more jobs match, its status message, its log and its `OUTPUT` record (Storage, Key-value store) give a **Resume from** value. Start a new run with the same filters and paste that value into **Resume from**: it picks up at the next job, with no job charged twice. A run with different filters refuses the value, and so may a run of a newer version of this actor; start a fresh run then. Jobs posted after the first run started appear in a fresh run, not a resumed one. A period such as **7 days** is counted from the day each run starts.

### Pricing

You pay per job returned, plus Apify's small fee for starting a run. A run never charges more than your spending limit: it stops when the next job would exceed it. One run returns at most 50,000 jobs; continue with **Resume from** for more.

### Filters in detail

- **Minimum salary** keeps jobs whose yearly pay reaches at least that amount: hourly, weekly and monthly pay is compared per year. Leave it at 1 for every job whose salary states a pay period.
- **Maximum salary** keeps jobs whose yearly pay starts at or below that amount.
- **Salary currency** (an ISO 4217 code such as USD, EUR or PLN) keeps jobs paying in that currency, and the amounts above are in it.
- Salaries are compared as the posting states them, in its own currency and period. Set **Country** to compare like with like, and expect hourly postings below an annual figure.
- **Job title** matches words in the title. Quote a phrase (`"data engineer"`) and put a minus before a word to exclude it (`-intern`).
- **Description contains** uses the same syntax on the full description.
- **Country** is one ISO 3166-1 alpha-2 code, such as `US`, `CA` or `GB`.
- **State or region** and **City** take several names separated by commas.
- **Skills** and **Industry** take up to 10 values each.
- **Platform** keeps jobs published on any of the platforms you choose: an applicant tracking system such as Workday or Greenhouse, or a career-site platform such as Phenom. Jobs whose platform is unknown are left out when you set it.
- **Posted after** and **Posted before** take a date (`2026-01-31`) or a period (`7 days`, `2 weeks`, `3 months`).

### FAQ

**Does every job have a salary?** Yes. Jobs whose posting states no salary are left out.

**Is the salary an estimate?** No. It is the pay the employer's posting states. `salary.annualMin` and `salary.annualMax` give the yearly equivalent in the same currency.

**How fresh is the data?** Every board is re-read daily. A job closes about 30 days after it was last listed, and its `closedAt` records when.

**Why did my run stop before Maximum results?** No more jobs matched your filters, or the next job would have gone over your spending limit. The run's status message says which, and gives a **Resume from** value when more jobs match.

# Actor input Schema

## `q` (type: `string`):

Words in the job title. Quote a phrase ("data engineer") and put a minus before a word to exclude it (-intern).

## `maxResults` (type: `integer`):

The run stops after this many jobs. You are charged per job returned.

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

Format of the job description. All returns HTML, plain text and Markdown.

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

Every job here states a salary. Raise this to keep jobs whose stated salary reaches at least this amount.

## `descriptionQuery` (type: `string`):

Words anywhere in the job description, with the same syntax as the title search.

## `country` (type: `string`):

One ISO 3166-1 alpha-2 code, such as US, CA or GB.

## `state` (type: `string`):

State, province or region, such as CA, New York or Ontario. Separate several with commas.

## `city` (type: `string`):

City names, such as San Francisco or Montreal. Separate several with commas.

## `remoteType` (type: `array`):

Keep jobs with any of these work arrangements.

## `employmentType` (type: `array`):

Keep jobs with any of these employment types.

## `experienceLevel` (type: `array`):

Keep jobs at any of these levels.

## `skills` (type: `array`):

Skills the job asks for, such as react or kubernetes.

## `industry` (type: `array`):

Keep jobs in any of these industries.

## `ats` (type: `array`):

Keep jobs published on any of these platforms: an applicant tracking system such as Workday or Greenhouse, or a career-site platform such as Phenom. Jobs whose platform is unknown are left out when you set it.

## `language` (type: `string`):

ISO 639-1 code of a language the job requires, such as fr.

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

Keep jobs whose yearly pay starts at or below this amount, in each job's own currency unless Salary currency is set.

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

One ISO 4217 code, such as USD, EUR or PLN. Keeps jobs paying in that currency, and the salary amounts above are in it.

## `hasVisaSponsorship` (type: `boolean`):

Keep only jobs that state they sponsor visas.

## `hasRelocation` (type: `boolean`):

Keep only jobs that state they offer relocation support.

## `postedAfter` (type: `string`):

Keep jobs the employer posted on or after this date, or within a period such as 7 days.

## `postedBefore` (type: `string`):

Keep jobs the employer posted before this date, or before a period ago such as 30 days.

## `status` (type: `string`):

Open jobs, or closed jobs for history.

## `resumeFrom` (type: `string`):

Continue a previous run where it stopped. When a run stops at Maximum results or your spending limit, its log and its OUTPUT record give a value for this field. Paste it here and keep the same filters. Leave empty to start from the newest jobs.

## Actor input object example

```json
{
  "q": "software engineer",
  "maxResults": 100,
  "descriptionFormat": "markdown",
  "minSalary": 1,
  "country": "US",
  "hasVisaSponsorship": false,
  "hasRelocation": false,
  "status": "active"
}
```

# Actor output Schema

## `jobs` (type: `string`):

Every job the run returned, with all fields: title, description in the requested formats, company, locations, salary, skills and apply URL.

## `summary` (type: `string`):

How many jobs the run returned, why it stopped, and resumeFrom: the value to continue in a new run, or null when no more jobs match.

# 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 = {
    "q": "software engineer",
    "maxResults": 100,
    "minSalary": 1,
    "country": "US"
};

// Run the Actor and wait for it to finish
const run = await client.actor("jobven/jobs-with-salary").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 = {
    "q": "software engineer",
    "maxResults": 100,
    "minSalary": 1,
    "country": "US",
}

# Run the Actor and wait for it to finish
run = client.actor("jobven/jobs-with-salary").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 '{
  "q": "software engineer",
  "maxResults": 100,
  "minSalary": 1,
  "country": "US"
}' |
apify call jobven/jobs-with-salary --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,jobven/jobs-with-salary"
        }
    }
}
```

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/TT5iYY6wtk0OhpsAm/builds/RACgkHjWhi7nv7mBy/openapi.json