# Hiring.Cafe \[$1💰] Powerful Filters + Deep Job Data (`abotapi/hiring-cafe-scraper`) Actor

From $1/1K. Unlock powerful Hiring.Cafe job data extraction. Use advanced filters or URLs to get 100+ fields per job, including salary, company insights, and benefits. Fast, scalable, and built for serious data collection. Only $1 for Gold discount.

- **URL**: https://apify.com/abotapi/hiring-cafe-scraper.md
- **Developed by:** [AbotAPI](https://apify.com/abotapi) (community)
- **Categories:** Jobs, Automation, Developer tools
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 results

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/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

## Hiring.Cafe Jobs Scraper

Extract structured job listings from Hiring.Cafe at scale. 100+ fields per job including salary, company funding data, benefits, certifications, and geo coordinates.

### Why This Scraper?

**Fast.** Each API call returns ~150 jobs. Scrape 500 jobs in under 30 seconds, 1,000 jobs in under a minute (after initial Cloudflare solve). Results are pushed incrementally so you can start processing before the run finishes.

**More Filters.** Employment type, seniority level, salary transparency, and date range filters that no other Hiring.Cafe scraper on Apify offers.

**Direct Job URLs.** Paste `/viewjob/` links alongside search URLs to scrape individual listings with full data.

**Total Count.** Shows how many jobs match your search before scraping begins.

### How It Works

#### Option 1: Search by URL

Paste one or more search URLs from hiring.cafe. Go to [hiring.cafe](https://hiring.cafe), apply your filters, then copy the URL from the address bar.

You can also paste direct job URLs (`/viewjob/...`) to scrape individual listings.

#### Option 2: Search by Filters

Use keyword, location, and advanced filters without building URLs.

```json
{
  "keyword": "python developer",
  "location": "United States",
  "workplaceType": "Remote",
  "commitmentType": "Full Time",
  "seniorityLevel": "Senior Level",
  "salaryTransparentOnly": true,
  "maxItems": 500
}
````

### Filter Options

| Filter | Options | Default | Competitors |
|--------|---------|---------|-------------|
| Keyword | Any text | (empty) | All have |
| Location | Country or city | (worldwide) | All have |
| Workplace Type | Remote, Hybrid, Onsite, Any | Any | All have |
| **Employment Type** | Full Time, Part Time, Contract, Internship, Any | Any | **Only us** |
| **Seniority Level** | Entry, Mid, Senior, No Experience, Any | Any | **Only us** |
| **Posted Within** | 1 to 365 days | 30 | **Only us** |
| **Salary Transparent** | true or false | false | **Only us** |

> **Note:** Hiring.Cafe uses relevance based search. Keyword and employment type are hard filters. Workplace type and seniority level influence ranking but are soft filters. For precise filtering, use URL mode with a hiring.cafe URL where you applied filters directly on the website.

### Output Structure (100+ fields)

Output preserves the native Hiring.Cafe nested format, fully compatible with other Hiring.Cafe scrapers on Apify.

#### Top Level Fields

`id`, `board_token`, `source`, `apply_url`, `job_url`, `requisition_id`, `is_expired`

#### Job Info

`title`, `job_title_raw`, `description` (full HTML)

#### Job Details (91 fields)

| Category | Sample Fields |
|----------|---------------|
| Title and Summary | core\_job\_title, requirements\_summary, job\_category |
| Skills | technical\_tools\[], licenses\_or\_certifications\[] |
| Education | bachelors, masters, doctorate degree requirement, fields\_of\_study\[] |
| Experience | min\_industry\_and\_role\_yoe, min\_management\_and\_leadership\_yoe |
| Employment | commitment\[], role\_type, seniority\_level, workplace\_type |
| Location | formatted\_workplace\_location, workplace\_cities, states, countries\[] |
| Compensation | yearly, monthly, weekly, hourly min and max compensation, currency |
| Benefits | visa\_sponsorship, 401k\_matching, four\_day\_work\_week, retirement\_plan |
| Work Conditions | physical\_labor\_intensity, travel\_requirement, shift\_work |
| Languages | language\_requirements\[], num\_language\_requirements |

#### v5\_processed\_company\_data (19 fields)

`name`, `homepage_uri`, `industries[]`, `nb_employees`, `year_founded`, `hq_country`, `organization_type`, `latest_funding_type`, `latest_funding_amount`, `investors[]`, `stock_exchange`, `stock_symbol`

#### Geoloc

`lat`, `lon`

### Example Output

```json
{
  "id": "lever___example___12345",
  "source": "lever",
  "board_token": "example",
  "apply_url": "https://jobs.lever.co/example/12345",
  "job_url": "https://hiring.cafe/viewjob/abc123xyz",
  "is_expired": false,
  "job_information": {
    "title": "Backend Engineer",
    "description": "<p>Job description HTML content...</p>"
  },
  "v5_processed_job_data": {
    "core_job_title": "Backend Engineer",
    "commitment": ["Full Time"],
    "seniority_level": "Mid Level",
    "workplace_type": "Remote",
    "formatted_workplace_location": "New York, New York, United States",
    "yearly_min_compensation": 120000,
    "yearly_max_compensation": 160000,
    "listed_compensation_currency": "USD",
    "is_compensation_transparent": true,
    "technical_tools": ["Node.js", "PostgreSQL", "AWS"],
    "visa_sponsorship": false,
    "company_name": "Example Inc"
  },
  "v5_processed_company_data": {
    "name": "Example Inc",
    "nb_employees": 200,
    "year_founded": 2018,
    "hq_country": "US",
    "organization_type": "Private",
    "latest_funding_type": "Series A",
    "latest_funding_amount": 15000000
  },
  "_geoloc": [{"lat": 40.7128, "lon": -74.006}]
}
```

### Input Options

| Field | Description | Default |
|-------|-------------|---------|
| Start URLs | Search URLs or job URLs from hiring.cafe | |
| Keyword | Job title, skills, or company name | |
| Location | Country or city | (worldwide) |
| Workplace Type | Remote, Hybrid, Onsite, Any | Any |
| Employment Type | Full Time, Part Time, Contract, Internship, Any | Any |
| Seniority Level | Entry, Mid, Senior, Any | Any |
| Posted Within | Days since posted (1 to 365) | 30 |
| Salary Transparent | Only jobs with disclosed salary | false |
| Max Jobs | Maximum listings to scrape | 1000 |

### Tips

The total count shows before scraping so you know the search size upfront.

You can combine `/viewjob/` URLs with search URLs in a single run.

For precise location filtering, apply your filters on hiring.cafe first, then paste the URL into Start URLs.

# Actor input Schema

## `startUrls` (type: `array`):

Hiring.cafe search URLs (?searchState=…) or direct job URLs (/viewjob/…). If set, all filter fields below are ignored.

## `keyword` (type: `string`):

Job title, skills, or company (e.g., 'python developer', 'data scientist'). Only used when Start URLs are empty.

## `location` (type: `string`):

Country or city name (e.g., 'United States', 'London', 'Germany'). Leave empty for worldwide.

## `workplaceType` (type: `string`):

Filter by workplace arrangement.

## `commitmentType` (type: `string`):

Filter by employment commitment type.

## `seniorityLevel` (type: `string`):

Filter by experience level.

## `postedWithinDays` (type: `integer`):

Only return jobs posted within this many days. Default 30.

## `salaryTransparentOnly` (type: `boolean`):

When enabled, only returns jobs with salary information disclosed.

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

Maximum number of jobs to scrape. Each API page returns ~150 jobs. Set 0 for unlimited.

## `proxy` (type: `object`):

Datacenter proxies work and are cheapest. Residential as fallback.

## Actor input object example

```json
{
  "startUrls": [],
  "keyword": "software engineer",
  "workplaceType": "Any",
  "commitmentType": "Any",
  "seniorityLevel": "Any",
  "postedWithinDays": 30,
  "salaryTransparentOnly": false,
  "maxItems": 20,
  "proxy": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

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

No description

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

No description

## `companies` (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 = {
    "startUrls": [],
    "keyword": "software engineer",
    "location": "",
    "workplaceType": "Any",
    "commitmentType": "Any",
    "seniorityLevel": "Any",
    "maxItems": 20,
    "proxy": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("abotapi/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 = {
    "startUrls": [],
    "keyword": "software engineer",
    "location": "",
    "workplaceType": "Any",
    "commitmentType": "Any",
    "seniorityLevel": "Any",
    "maxItems": 20,
    "proxy": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("abotapi/hiring-cafe-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "startUrls": [],
  "keyword": "software engineer",
  "location": "",
  "workplaceType": "Any",
  "commitmentType": "Any",
  "seniorityLevel": "Any",
  "maxItems": 20,
  "proxy": {
    "useApifyProxy": true
  }
}' |
apify call abotapi/hiring-cafe-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=abotapi/hiring-cafe-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Hiring.Cafe [$1💰] Powerful Filters + Deep Job Data",
        "description": "From $1/1K. Unlock powerful Hiring.Cafe job data extraction. Use advanced filters or URLs to get 100+ fields per job, including salary, company insights, and benefits. Fast, scalable, and built for serious data collection. Only $1 for Gold discount.",
        "version": "0.1",
        "x-build-id": "bSO3NMYTj3UXIT4ON"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/abotapi~hiring-cafe-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-abotapi-hiring-cafe-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/abotapi~hiring-cafe-scraper/runs": {
            "post": {
                "operationId": "runs-sync-abotapi-hiring-cafe-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/abotapi~hiring-cafe-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-abotapi-hiring-cafe-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "properties": {
                    "startUrls": {
                        "title": "Start URLs",
                        "type": "array",
                        "description": "Hiring.cafe search URLs (?searchState=…) or direct job URLs (/viewjob/…). If set, all filter fields below are ignored.",
                        "items": {
                            "type": "object",
                            "required": [
                                "url"
                            ],
                            "properties": {
                                "url": {
                                    "type": "string",
                                    "title": "URL of a web page",
                                    "format": "uri"
                                }
                            }
                        }
                    },
                    "keyword": {
                        "title": "Keyword",
                        "type": "string",
                        "description": "Job title, skills, or company (e.g., 'python developer', 'data scientist'). Only used when Start URLs are empty."
                    },
                    "location": {
                        "title": "Location",
                        "type": "string",
                        "description": "Country or city name (e.g., 'United States', 'London', 'Germany'). Leave empty for worldwide."
                    },
                    "workplaceType": {
                        "title": "Workplace Type",
                        "enum": [
                            "Any",
                            "Remote",
                            "Hybrid",
                            "Onsite"
                        ],
                        "type": "string",
                        "description": "Filter by workplace arrangement.",
                        "default": "Any"
                    },
                    "commitmentType": {
                        "title": "Employment Type",
                        "enum": [
                            "Any",
                            "Full Time",
                            "Part Time",
                            "Contract",
                            "Internship"
                        ],
                        "type": "string",
                        "description": "Filter by employment commitment type.",
                        "default": "Any"
                    },
                    "seniorityLevel": {
                        "title": "Seniority Level",
                        "enum": [
                            "Any",
                            "No Prior Experience Required",
                            "Entry Level",
                            "Mid Level",
                            "Senior Level"
                        ],
                        "type": "string",
                        "description": "Filter by experience level.",
                        "default": "Any"
                    },
                    "postedWithinDays": {
                        "title": "Posted Within (Days)",
                        "minimum": 1,
                        "maximum": 365,
                        "type": "integer",
                        "description": "Only return jobs posted within this many days. Default 30.",
                        "default": 30
                    },
                    "salaryTransparentOnly": {
                        "title": "Transparent Salary Only",
                        "type": "boolean",
                        "description": "When enabled, only returns jobs with salary information disclosed.",
                        "default": false
                    },
                    "maxItems": {
                        "title": "Maximum jobs",
                        "type": "integer",
                        "description": "Maximum number of jobs to scrape. Each API page returns ~150 jobs. Set 0 for unlimited.",
                        "default": 1000
                    },
                    "proxy": {
                        "title": "Proxy configuration",
                        "type": "object",
                        "description": "Datacenter proxies work and are cheapest. Residential as fallback.",
                        "default": {
                            "useApifyProxy": true
                        }
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```