# Expertini Jobs Scraper | Job Listings & Salaries (`bovi/expertini-jobs`) Actor

Scrape structured job postings from Expertini: title, hiring company, location, salary, employment type, posting dates and full description. Pick a country and pull the freshest feed or the full sitemap. No login, no API key.

- **URL**: https://apify.com/bovi/expertini-jobs.md
- **Developed by:** [Vitalii Bondarev](https://apify.com/bovi) (community)
- **Categories:** Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.57 / 1,000 job postings

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/docs.md):

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

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

## Expertini Jobs Scraper — Postings, Salary, Company

Scrape structured **job postings** from **Expertini**, the multi-country job-search aggregator. Pick a country, then pull the **freshest jobs** from its feed or the **full posting corpus** from its sitemaps. Every posting comes back as one clean, flat record: title, hiring company (with logo), location, salary (when disclosed), employment type, industry, posting and expiry dates, and the full job description — each tagged with a machine-readable `parse_confidence` score.

This **Expertini Jobs Scraper** is built for job-market analytics, recruitment and sourcing tools, salary-benchmarking and labour-market research that need structured postings across many countries without maintaining a fragile in-house scraper.

### What Expertini data you get

One row per job posting (`recordType: "job"`):

- **title** — the job title as listed
- **company** / **companyUrl** / **companyLogo** — the hiring organization
- **city** / **region** / **country** / **streetAddress** / **postalCode** — the job location
- **employmentType** — e.g. `Permanent`, `FULL_TIME`, `CONTRACTOR`
- **industry** — the posting's industry label
- **salaryValue** / **salaryMin** / **salaryMax** / **salaryCurrency** / **salaryUnit** — pay when the source discloses it, plus **salaryDisclosed** (a boolean — we never invent a number)
- **datePosted** / **validThrough** — when the posting went live and when it expires
- **descriptionText** — the full description as clean plain text, plus **descriptionHtml** with the original markup
- **url** — the canonical posting URL
- **jobId** — the source's posting identifier
- **pubDate** — the feed publish timestamp (feed mode)
- **parse_confidence** — `1.0` when the core hiring fields are present

### How to scrape Expertini

1. Set **Country** to the Expertini national index you want (`us`, `uk`, `de`, `ca`, `au`, `in`, …).
2. Choose **Discovery mode**:
   - **Freshest feed** — reads the country's RSS feed (newest postings, with publish dates). Fast and small.
   - **Full sitemap** — walks the site's sitemaps to reach the whole posting corpus. Use it for volume.
3. Set **Max results** to cap cost. Run. Postings stream into the dataset, each enriched from its detail page.

The actor reads each posting from Expertini's own embedded `schema.org/JobPosting` data and de-duplicates by job id.

### How much does it cost?

Pay per result — there is **no subscription**. You are billed per posting returned, so a small trial run costs cents. The actor runs on **Apify's RESIDENTIAL proxy** billed to your own Apify account — there is no extra proxy fee from us and no key to supply.

### Example output

```json
{
  "recordType": "job",
  "jobId": "senior-data-engineer-new-york-acme-corp-3722111",
  "title": "Senior Data Engineer",
  "company": "Acme Corp",
  "companyLogo": "https://github.cdn.expertini.com/images/resource/company-logo/5.webp",
  "employmentType": "FULL_TIME",
  "industry": "Information Technology",
  "city": "New York",
  "region": "New York",
  "country": "United States",
  "salaryDisclosed": true,
  "salaryMin": 120000,
  "salaryMax": 160000,
  "salaryCurrency": "USD",
  "salaryUnit": "YEAR",
  "datePosted": "2026-06-23",
  "validThrough": "2026-08-02",
  "url": "https://us.expertini.com/job/senior-data-engineer-new-york-acme-corp-3722111/",
  "parse_confidence": 1.0
}
````

### Why this Expertini Jobs Scraper

- **Reads the posting from Expertini's own data layer** — the parser walks the page's embedded `JobPosting` JSON and picks fields by their schema.org meaning, not brittle CSS class names, so it keeps working through redesigns.
- **Honest salary** — pay is reported only when the source discloses it; `salaryDisclosed` tells you which postings carry a real figure, and we never fabricate one.
- **Two discovery modes** — pull just the freshest jobs for monitoring, or the full corpus for bulk analysis, from the same actor.
- **Many countries** — switch the national index with one input field.
- **Reliable access built in** — every request is routed through Apify's RESIDENTIAL proxy for a stable egress; no key to supply.
- **Quality signal built in** — `parse_confidence` lets you trust the data and drop incomplete rows automatically.

### FAQ

**Do I need an Expertini login or API key?** No. The actor reads public Expertini pages.

**Which data does it cover?** Public job postings indexed by Expertini for the country you select.

**Can I search by keyword?** This version discovers postings by recency (feed) or by the full sitemap; results cover all roles in the chosen country. Filter the returned dataset by title/industry/location downstream.

# Actor input Schema

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

Expertini country subdomain to read, e.g. 'us', 'uk', 'de', 'ca', 'au', 'in'. Determines which national job index is scraped.

## `discovery` (type: `string`):

How to find postings. 'Freshest feed' reads the country's RSS feed (newest jobs, with publish dates) — fast and small. 'Full sitemap' walks the site's sitemaps to reach the whole posting corpus — use it for volume.

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

Maximum number of job postings to return (0 = no cap).

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

Proxy used to reach the public Expertini pages. RESIDENTIAL is the recommended default for a stable egress.

## Actor input object example

```json
{
  "country": "us",
  "discovery": "feed",
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

# Actor output Schema

## `results` (type: `string`):

Dataset of job postings (title, company, location, salary, dates, employment type, 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 = {
    "country": "us",
    "maxItems": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("bovi/expertini-jobs").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 = {
    "country": "us",
    "maxItems": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("bovi/expertini-jobs").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 '{
  "country": "us",
  "maxItems": 100
}' |
apify call bovi/expertini-jobs --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Expertini Jobs Scraper | Job Listings & Salaries",
        "description": "Scrape structured job postings from Expertini: title, hiring company, location, salary, employment type, posting dates and full description. Pick a country and pull the freshest feed or the full sitemap. No login, no API key.",
        "version": "0.1",
        "x-build-id": "RSfUL38ymxSFgnNJ1"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/bovi~expertini-jobs/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-bovi-expertini-jobs",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/bovi~expertini-jobs/runs": {
            "post": {
                "operationId": "runs-sync-bovi-expertini-jobs",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/bovi~expertini-jobs/run-sync": {
            "post": {
                "operationId": "run-sync-bovi-expertini-jobs",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                    "country": {
                        "title": "Country",
                        "type": "string",
                        "description": "Expertini country subdomain to read, e.g. 'us', 'uk', 'de', 'ca', 'au', 'in'. Determines which national job index is scraped.",
                        "default": "us"
                    },
                    "discovery": {
                        "title": "Discovery mode",
                        "enum": [
                            "feed",
                            "sitemap"
                        ],
                        "type": "string",
                        "description": "How to find postings. 'Freshest feed' reads the country's RSS feed (newest jobs, with publish dates) — fast and small. 'Full sitemap' walks the site's sitemaps to reach the whole posting corpus — use it for volume.",
                        "default": "feed"
                    },
                    "maxItems": {
                        "title": "Max results",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Maximum number of job postings to return (0 = no cap).",
                        "default": 100
                    },
                    "proxyConfiguration": {
                        "title": "Proxy configuration",
                        "type": "object",
                        "description": "Proxy used to reach the public Expertini pages. RESIDENTIAL is the recommended default for a stable egress.",
                        "default": {
                            "useApifyProxy": true,
                            "apifyProxyGroups": [
                                "RESIDENTIAL"
                            ],
                            "apifyProxyCountry": "US"
                        }
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```