# Zhaopin Scraper: Extract China Jobs (`getascraper/zhaopin-jobs-scraper`) Actor Scrape tech, sales, and corporate jobs from Zhaopin.com. Extract salaries, geolocations, and B2B recruiter contacts to clean CSV/JSON datasets. Drop-in for Salesforce, HubSpot, and ATS pipelines. Skip manual candidate sourcing and agency fees. $1.49 per 1,000 results. - **URL**: https://apify.com/getascraper/zhaopin-jobs-scraper.md - **Developed by:** [GetAScraper](https://apify.com/getascraper) (community) - **Categories:** Jobs, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.49 / 1,000 jobs This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ### Zhaopin Scraper: Extract Job Listings and Salary Data Across China **Pull live, structured job listings from Zhaopin in seconds.** Get job titles, salaries, required education, experience, company details, and recruiter contact info for any keyword in any city. --- ### What can you do with it? - **Track salary trends.** Monitor compensation levels across industries and experience requirements in China's major cities. - **Source recruitment leads.** Extract recruiter names and titles to build high-value B2B staffing networks. - **Analyze hiring trends.** Identify active companies and rising skill requirements in tech, finance, and other sectors. - **Feed talent research.** Plug clean, structured job rows directly into spreadsheets, BI dashboards, or RAG models. --- ### How to use it 1. Create a free Apify account. 2. Open the **Zhaopin Scraper** in the Apify Store. 3. Enter your search keyword (e.g. `Python`, `销售经理`). 4. Pick the target city (e.g., Beijing, Shanghai, Shenzhen). 5. Click **Start** and download the dataset as JSON, CSV, or Excel. --- ### Input | Field | Default | Description | | ------------ | --------------- | ---------------------------------------------------------------------- | | `query` | `Python` | The job keyword or skill to search. Supports both English and Chinese. | | `city` | `530` (Beijing) | Target city market (Beijing, Shanghai, Shenzhen, Hangzhou, etc.). | | `education` | `""` (Any) | Optional minimum education filter (Bachelor, Master, Doctor). | | `experience` | `""` (Any) | Optional required work experience filter. | | `jobType` | `""` (Any) | Optional employment type filter (Full-time, Part-time, Internship). | | `maxItems` | `100` | Maximum number of job cards to extract per query. | --- ### Output Each row represents a single job listing from Zhaopin. ```json { "jobId": "40887707613", "jobUrl": "http://www.zhaopin.com/jobdetail/CCL1516765580J40887707613.htm", "title": "Python高级后端工程师", "description": "岗位职责：1. 负责公司核心产品后端服务开发... 基于FastAPI构建高性能...", "skills": ["PostgreSQL", "SQLAlchemy", "Redis", "Django", "Python"], "locationRaw": "北京·朝阳区·酒仙桥", "cityEn": "Beijing", "district": "朝阳", "address": "北京中关村(朝阳)工业AI产业园", "latitude": 39.981367, "longitude": 116.491696, "educationEn": "Bachelor", "experienceRaw": "经验不限", "experienceMin": 0, "experienceMax": null, "salaryRaw": "1-1.5万", "salaryMin": 10000, "salaryMax": 15000, "currency": "CNY", "companyName": "烟台信界智基科技有限公司", "companySize": "20-99人", "companyIndustry": "人工智能", "companyUrl": "http://company.zhaopin.com/CZL1516765580.htm", "recruiterName": "解女士", "recruiterTitle": "人事经理", "recruiterResponseRate": "17分钟前回复 | 今日回复35次", "scrapedAt": "2026-06-10T06:02:03.905Z" } ```` #### Field reference | Field | Description | | ----------------------- | ------------------------------------------------------------------ | | `jobId` | Unique ID of the job listing. | | `jobUrl` | Direct apply link of the job listing. | | `title` | Job title or position name. | | `description` | Full text of the job description. | | `skills` | List of parsed technical skills required. | | `locationRaw` | Raw location string from Zhaopin (e.g. city and district). | | `cityEn` | Name of the city in English (Beijing, Shanghai, etc.). | | `address` | Specific work address or business park when available. | | `latitude` | Workplace latitude coordinate. | | `longitude` | Workplace longitude coordinate. | | `educationEn` | Standard English educational requirement (Bachelor, Master, etc.). | | `experienceMin` | Minimum years of required work experience (0 = Any). | | `salaryRaw` | Raw salary range string from the source (e.g., `1-1.5万`). | | `salaryMin` | Standardized minimum monthly salary in CNY. | | `salaryMax` | Standardized maximum monthly salary in CNY. | | `companyName` | Name of the hiring company. | | `companySize` | Estimated size of the company. | | `companyIndustry` | Core industry category of the employer. | | `recruiterName` | Recruiter or HR contact name. | | `recruiterTitle` | HR representative's corporate title. | | `recruiterResponseRate` | Activity frequency and response speed indicator of the recruiter. | | `scrapedAt` | ISO timestamp of when the listing was saved. | *** ### Cost Pricing is per row saved to the dataset. Empty runs cost nothing. There is no fixed fee. A single 100-card run typically saves 100 rows. You can monitor the row count live in the run console. *** ### Tips - **Run multiple queries in one go.** Since Zhaopin limits results to 100 items per search, use different keywords or cities to extract larger datasets. - **Refine with filters.** Use the education and experience filters to pinpoint senior roles or internship placements directly. - **Schedule it.** Use Apify Schedules to run daily or weekly and watch for new hiring campaigns from target employers. *** ### Disclaimers & Support - **Disclaimer:** This Actor retrieves publicly available job postings on Zhaopin. Make sure your usage complies with Zhaopin's terms of service and applicable laws. - **Support:** Open an issue from the Actor page in the Apify Console for bug reports or feature requests. # Actor input Schema ## `query` (type: `string`): The job keyword to search for (e.g. 'Python', 'FastAPI', '销售经理'). Supports both English and Chinese. ## `city` (type: `string`): Select the target city. We map these directly to Zhaopin's internal city codes. ## `education` (type: `string`): Filter listings by minimum educational requirements. ## `experience` (type: `string`): Filter listings by required experience. ## `jobType` (type: `string`): Filter listings by type of employment. ## `maxItems` (type: `integer`): The maximum number of job listings to scrape (up to 100 per unique search query). ## `proxyConfiguration` (type: `object`): Proxy settings for IP rotation and request distribution. ## Actor input object example ```json { "query": "Python", "city": "530", "education": "", "experience": "", "jobType": "", "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `results` (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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "query": "Python", "city": "530", "education": "", "experience": "", "jobType": "", "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("getascraper/zhaopin-jobs-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "query": "Python", "city": "530", "education": "", "experience": "", "jobType": "", "maxItems": 100, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("getascraper/zhaopin-jobs-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 '{ "query": "Python", "city": "530", "education": "", "experience": "", "jobType": "", "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true } }' | apify call getascraper/zhaopin-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getascraper/zhaopin-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Zhaopin Scraper: Extract China Jobs", "description": "Scrape tech, sales, and corporate jobs from Zhaopin.com. Extract salaries, geolocations, and B2B recruiter contacts to clean CSV/JSON datasets. Drop-in for Salesforce, HubSpot, and ATS pipelines. Skip manual candidate sourcing and agency fees. $1.49 per 1,000 results.", "version": "0.1", "x-build-id": "XzjwTreXe8Do6gqC5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getascraper~zhaopin-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getascraper-zhaopin-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/getascraper~zhaopin-jobs-scraper/runs": { "post": { "operationId": "runs-sync-getascraper-zhaopin-jobs-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/getascraper~zhaopin-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-getascraper-zhaopin-jobs-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", "required": [ "query" ], "properties": { "query": { "title": "Search Keyword", "type": "string", "description": "The job keyword to search for (e.g. 'Python', 'FastAPI', '销售经理'). Supports both English and Chinese.", "default": "Python" }, "city": { "title": "Job Location / City", "enum": [ "530", "538", "765", "763", "653", "801", "736", "635", "854", "639", "551", "531", "489" ], "type": "string", "description": "Select the target city. We map these directly to Zhaopin's internal city codes.", "default": "530" }, "education": { "title": "Education Required", "enum": [ "", "3", "4", "5", "6" ], "type": "string", "description": "Filter listings by minimum educational requirements.", "default": "" }, "experience": { "title": "Work Experience", "enum": [ "", "1", "2", "3", "4", "5" ], "type": "string", "description": "Filter listings by required experience.", "default": "" }, "jobType": { "title": "Employment Type", "enum": [ "", "1", "2", "3" ], "type": "string", "description": "Filter listings by type of employment.", "default": "" }, "maxItems": { "title": "Max Results", "minimum": 1, "type": "integer", "description": "The maximum number of job listings to scrape (up to 100 per unique search query).", "default": 100 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for IP rotation and request distribution.", "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 } } } } } } } } } } ```