# Jobs Ch Scraper (`real-estate-api/jobs-ch-scraper`) Actor

Jobs.ch Scraper is a Python tool to extract job titles, company names, locations, salary details, and descriptions from Switzerland's leading employment portal. It exports structured job market datasets into clean CSV or JSON formats for recruitment analytics and career research.

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

## Pricing

from $2.99 / 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/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.ch Scraper — Swiss Job Listings, Company Details, and Search Results

![Jobs.ch Scraper cover](https://images.bigibyte.com/cdn-cgi/image/width=1260,height=540,fit=cover,format=webp/apify-actors-covers/jobs-ch-scraper-cover.png)

### Overview

Collect publicly available job listings from Jobs.ch, one of Switzerland's job search platforms. This actor helps you build structured Swiss job datasets containing job titles, company names, locations, publication dates, employment information, and listing metadata.

Enter a search query, optionally specify a location, set a maximum number of results, and export your dataset as JSON, CSV, Excel, or other supported Apify formats. No login is required.

### Features

- Search publicly available Jobs.ch listings by keyword.
- Narrow job searches by location.
- Collect job titles, company names, and workplace locations.
- Extract publication dates and listing identifiers.
- Capture job categories, regions, and related metadata.
- Set a maximum number of results per run.
- Export structured job data in multiple formats.
- Schedule recurring searches to refresh job datasets.

### Collection Mode

| Mode | Description |
|---|---|
| `search` | Searches job listings using a keyword and optional location, then collects matching results up to the configured maximum. |

### Input Parameters

| Parameter | Description |
|---|---|
| `mode` | Collection mode. Use `search`. |
| `query` | Keyword or job title to search for. |
| `location` | Optional location to narrow the search. |
| `maxItems` | Maximum number of successful job records to collect. Default: 100; maximum: 1,000. |
| `requestDelaySecs` | Delay between collection requests. |

### Example Input

**Search for Python jobs**

```json id="j8v3n2"
{
  "mode": "search",
  "query": "python",
  "location": "",
  "maxItems": 50,
  "requestDelaySecs": 1
}
```

**Search for jobs in a specific location**

```json id="k4m7p1"
{
  "mode": "search",
  "query": "software engineer",
  "location": "Zürich",
  "maxItems": 100,
  "requestDelaySecs": 1
}
```

### What Data Does This Actor Extract?

The actor can collect job listing fields such as:

| Field | Description |
|---|---|
| `_links` | Related listing links, including job detail pages. |
| `categories` | Job category identifiers and category paths. |
| `company_visible` | Indicates whether company information is visible. |
| `age` | Listing age value provided by the source. |
| `regions` | Geographic region identifiers and paths. |
| `slug` | Unique job listing slug. |
| `company_slug` | Company listing slug. |
| `tags` | Tags associated with the job listing. |
| `job_id` | Unique job identifier. |
| `datapool_id` | Listing data pool identifier. |
| `jobTitle` | Job title. The source title field is stored under this name. |
| `preview` | Short job listing preview. |
| `company_name` | Employer or company name. |
| `company_id` | Unique company identifier. |
| `place` | Job location. |
| `publication_date` | Date and time the job was published. |
| `scraped_at` | Date and time the record was collected. |

The availability of individual fields depends on the job listing.

### Example Output

```json id="q5w9x3"
{
  "_links": {
    "detail_en": {
      "href": "https://www.jobs.ch/en/vacancies/detail/384bbefd-1193-4545-b36f-72cdbd1ffa94/",
      "templated": false
    }
  },
  "categories": [
    {
      "lvl_0": 106,
      "path": "/98/106/175",
      "lvl_1": 175
    }
  ],
  "company_visible": true,
  "age": 108,
  "regions": [
    {
      "lvl_0": 2,
      "lvl_1": 7,
      "lvl_2": 19,
      "path": "/2/7/19"
    }
  ],
  "slug": "384bbefd-1193-4545-b36f-72cdbd1ffa94-senior-fullstack-engineer-c-angular-python-a",
  "company_slug": "8124a917-b3ed-405b-9aff-a79868fd9130-erni-schweiz-ag",
  "tags": [],
  "job_id": "384bbefd-1193-4545-b36f-72cdbd1ffa94",
  "datapool_id": "384bbefd-1193-4545-b36f-72cdbd1ffa94",
  "jobTitle": "Senior Fullstack Engineer (C#, Angular, Python) (a)",
  "preview": "Senior Fullstack Engineer (C#, Angular, Python) (a)",
  "company_name": "ERNI Schweiz AG",
  "company_id": "8124a917-b3ed-405b-9aff-a79868fd9130",
  "place": "Zürich",
  "publication_date": "2026-06-25T15:20:58+02:00",
  "scraped_at": "2026-10-26T00:00:00+00:00"
}
```

### Use Cases

- **Swiss job monitoring:** Build and refresh keyword-based job datasets.
- **Recruiting research:** Collect company names, job titles, locations, and listing details.
- **Market analysis:** Compare job opportunities across locations and categories.
- **Job trend research:** Monitor publication dates and changes in job listings.
- **Recruitment pipelines:** Export structured job data for spreadsheets and internal workflows.
- **Career opportunity discovery:** Find relevant openings across Switzerland.

### Working with Your Dataset

After the actor finishes:

1. Open the run's **Dataset** tab.
2. Review the collected job listings.
3. Export your results as JSON, CSV, Excel, or another supported format.
4. Use the exported data for recruiting research, reporting, or job monitoring workflows.

### FAQ

**Who is this actor for?**

It is designed for recruiters, analysts, researchers, and developers who want structured Jobs.ch search results.

**What can I export?**

You can export your dataset in JSON, CSV, Excel, and other supported Apify formats.

**Can I search by location?**

Yes. Provide a location alongside your search keyword to narrow the results.

**Can I run it on a schedule?**

Yes. Use Apify Schedules to run the actor automatically at your preferred interval.

**Do I need to provide login credentials?**

No. The actor collects publicly available job listings and does not require account login.

**How many job records can one run collect?**

You can configure `maxItems` to collect up to 1,000 successful job records per run.

**Why might some fields be empty?**

Some listings may not include every field. The available information depends on the data provided for each job.

### Disclaimer

This actor is an independent tool and is not affiliated with, endorsed by, sponsored by, or officially associated with Jobs.ch or JobCloud. All collected information comes from publicly available listings. Users are responsible for ensuring that their use of the collected data complies with applicable laws and regulations.

### Is Web Scraping Legal?

Collecting information that is already public is generally legal. There is no single law that bans all forms of web scraping. The limits are the usual ones: do not break into accounts, do not take private or confidential data, and be careful with personal data and copyrighted works. A site's terms can also restrict how you access it. Facts such as a public name, price, or rating are not the same thing as republishing someone's article or photo.

This actor collects information from public pages. It does not log in and it does not bypass access controls.

For a longer explanation, see Apify's article [Is web scraping legal?](https://blog.apify.com/is-web-scraping-legal/).

# Actor input Schema

## `mode` (type: `string`):

What to scrape.

## `query` (type: `string`):

Search keywords for jobs.ch public search.

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

Optional location filter (UNTESTED query param).

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

Stop after this many successful rows. Hard max is 1000.

## `requestDelaySecs` (type: `number`):

Seconds to wait before each request.

## `userAgent` (type: `string`):

User-Agent header sent with each request.

## `timeoutSecs` (type: `integer`):

Overall run budget in seconds.

## `requestTimeoutSecs` (type: `integer`):

Per-request timeout in seconds.

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

Optional proxy. Leave off unless you need it.

## Actor input object example

```json
{
  "mode": "search",
  "query": "python",
  "location": "",
  "maxItems": 100,
  "requestDelaySecs": 1,
  "userAgent": "ActorResearch/1.0",
  "timeoutSecs": 300,
  "requestTimeoutSecs": 30,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

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

Dataset rows in the overview table.

## `dataset` (type: `string`):

Full dataset for this run.

## `items` (type: `string`):

Dataset items as JSON.

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("real-estate-api/jobs-ch-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("real-estate-api/jobs-ch-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 '{}' |
apify call real-estate-api/jobs-ch-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,real-estate-api/jobs-ch-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/aIi5sehWEgDptR8BN/builds/YgpBfZDiF03bpR4db/openapi.json