# eChinaCities Jobs Search Scraper (`jobsapi/echinacities-jobs-search-scraper`) Actor

Discover and enrich public eChinaCities English-language jobs for China with bounded pagination.

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

## Pricing

from $2.99 / 1,000 echinacities job records

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?

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

## eChinaCities Jobs Search Scraper

Discovers jobs from eChinaCities' current public listing/search pages and enriches each record from its official public detail page. The previous `/jobs` landing-page default is replaced by the active `https://jobs.echinacities.com/` job listing.

### Input

- `url`: public eChinaCities listing, search, or job-detail URL.
- `maxItems`: maximum detail-verified jobs, from 1 to 500.
- `maxPages`: maximum listing/search pages, from 1 to 20.
- `maxRetries`: retries transient transport failures, from 0 to 5. HTTP responses are not retried.
- `requestTimeoutSecs`: per-request timeout, from 10 to 120 seconds.

### Output

The default dataset contains jobs only, including numeric ID, title, verified company, city, CNY salary, employment type, experience, posting/update dates, clean and HTML descriptions, canonical URL, and runtime provenance. `OUTPUT` contains the run summary (`status` is the Apify platform outcome; `resultStatus` is `COMPLETE`, `LIMITED`, `SKIPPED`, `DEFERRED`, `NO_DATA`, or `FAILED`) and `noDataConfirmed` indicates whether affirmative official empty-result evidence was recognized. `REQUEST_RECEIPTS` contains request evidence and diagnostics. Receipts and diagnostics stay in the key-value store and are never written as dataset rows.

The Actor uses normal direct HTTP requests without proxying, browser fingerprinting, login, or private data access. Unrecognized empty listings and incomplete/unparseable details complete with `resultStatus: DEFERRED`; `NO_DATA` is reserved for affirmative official evidence that the requested search is empty. This Actor currently recognizes no such empty-result marker, so zero-record runs are deferred unless a fatal runtime/storage/finalization error causes `FAILED`. Confirmed source denials stop requests and discard staged jobs.

# Changelog

This Actor's version history is a separate document: https://apify.com/jobsapi/echinacities-jobs-search-scraper/changelog.md

# Actor input Schema

## `url` (type: `string`):

Public eChinaCities listing, search, or job-detail URL.

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

Maximum detail-verified jobs to emit.

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

Maximum listing/search pages to inspect.

## `maxRetries` (type: `integer`):

Retries transient transport failures. HTTP responses, including access denials, are not retried.

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

Timeout in seconds for each public request.

## Actor input object example

```json
{
  "url": "https://jobs.echinacities.com/",
  "maxItems": 100,
  "maxPages": 3,
  "maxRetries": 2,
  "requestTimeoutSecs": 30
}
```

# Actor output Schema

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

No description

## `runSummary` (type: `string`):

No description

## `requestReceipts` (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/echinacities-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/echinacities-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/echinacities-jobs-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,jobsapi/echinacities-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/ihIYP5QsPoiCgUVGk/builds/2SLQZUmk6RCWaDJVE/openapi.json