# Jobs.ch Search Scraper (`jobsapi/jobs-ch-jobs-search-scraper`) Actor

Scrape job listings from Jobs.ch, Switzerland's leading job board. Extract job titles, companies, locations, salary ranges, contract types, and descriptions for Swiss recruitment and job market analysis.

- **URL**: https://apify.com/jobsapi/jobs-ch-jobs-search-scraper.md
- **Developed by:** [Jobs API](https://apify.com/jobsapi) (community)
- **Categories:** Jobs, Developer tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.99 / 1,000 job details

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## Jobs.ch Search Scraper

This Actor extracts rich public job records from [jobs.ch](https://www.jobs.ch/) using bounded native HTTPS requests and Cheerio, locally or on Apify Cloud. It does not sign in, use browser fingerprinting or stealth plugins, submit applications, or fetch external application destinations.

### Modes

- `search`: query the public Jobs.ch vacancy search and enrich complete records from their detail pages.
- `single`: enrich one official public vacancy URL using `jobUrl`, `directUrl`, or `startUrl`.
- `multiple`: enrich several official public vacancy URLs using `jobUrls`, `directUrls`, or `startUrls`.

Search and detail requests are bounded by `maxPages`, `maxItems`, `maxConcurrency`, `requestTimeoutSecs`, `retries`, and `delayMillis`. Records are buffered until their detail identity, canonical URL, description, company, and location are verified. Incomplete records are never written to the dataset.

The dataset contains source-backed JSON-LD and visible-page fields, normalized locations, employment data, descriptions and sections, salary data when published, company metadata, explicit application actions when present, request receipts, and data-quality flags. An application URL is emitted only when an explicit public anchor or JSON-LD `potentialAction` supplies it.

### Local validation

```powershell
npm ci
npm test
npm run lint
npm run validate
apify validate-schema .actor\input_schema.json
apify run --purge --input-file INPUT.json
```

Use `INPUT-single.json` and `INPUT-multiple.json` for the direct-detail examples. A blocked or failed target exits non-zero, writes zero dataset rows, and records structured diagnostics in the local key-value store.

For cloud validation, deploy with `apify push` and use the three-item `INPUT.json` fixture at 512 MB with a 300-second timeout. `OUTPUT_SUMMARY`, `RUN_HEALTH`, `RUN_DIAGNOSTICS`, `RUN_SKIPS`, and `SOURCE_RECEIPTS` expose dynamic run/build/storage provenance and safe response hashes. Direct public access remains the default; proxy escalation is considered only when cloud evidence justifies it.

# Actor input Schema

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

Use search for discovery, single for one public vacancy URL, or multiple for several public vacancy URLs.

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

Job title, skill, or keyword for search mode.

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

Optional Jobs.ch location filter.

## `jobUrl` (type: `string`):

One official public Jobs.ch /<locale>/vacancies/detail/<uuid>/ URL for single mode.

## `directUrl` (type: `string`):

Alias for jobUrl.

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

Official public Jobs.ch vacancy URLs for multiple mode.

## `directUrls` (type: `array`):

Alias for jobUrls.

## `startUrl` (type: `string`):

Alias for one direct public Jobs.ch vacancy URL.

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

Aliases for direct public Jobs.ch vacancy URLs.

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

Maximum complete records to emit.

## `maxPages` (type: `integer`):

Bounded number of public search pages.

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

Maximum simultaneous detail requests.

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

Timeout per public request.

## `retries` (type: `integer`):

Bounded retries for retryable transport failures.

## `delayMillis` (type: `integer`):

Optional delay between starting detail requests.

## `salaryMin` (type: `number`):

Optional minimum salary filter.

## `salaryMax` (type: `number`):

Optional maximum salary filter.

## `jobType` (type: `string`):

Optional employment-type filter.

## Actor input object example

```json
{
  "mode": "search",
  "query": "software engineer",
  "location": "Zurich",
  "maxItems": 3,
  "maxPages": 1,
  "maxConcurrency": 3,
  "requestTimeoutSecs": 15,
  "retries": 1,
  "delayMillis": 0,
  "jobType": ""
}
```

# Actor output Schema

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

No description

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

No description

## `health` (type: `string`):

No description

## `diagnostics` (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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("jobsapi/jobs-ch-jobs-search-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("jobsapi/jobs-ch-jobs-search-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 jobsapi/jobs-ch-jobs-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,jobsapi/jobs-ch-jobs-search-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/bd8U1w710YwvwCbBQ/builds/6lPhSu8lrAGRcJGyl/openapi.json