Zhaopin Scraper - China Job Listings

What does Zhaopin Scraper do?

Zhaopin Scraper extracts structured job data from zhaopin.com — including salary data, company metadata, full descriptions, location data, and skill tags. It supports keyword search and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions and company metadata) where the source provides them.

Key features

• Incremental mode — recurring runs emit and charge only for listings that are new or whose tracked content changed. First run builds the baseline state; subsequent runs emit only new or changed records.
• Detail enrichment — full descriptions and company metadata where the source provides them.
• Compact mode — AI-agent and MCP-friendly payloads with core fields only.

What data can you extract from zhaopin.com?

Each result includes Core listing fields (jobId, title, industry, financingStage, location, district, address, and latitude, and more), detail fields when enrichment is enabled (benefits and description), and company metadata (company, companyId, companyLogo, and companySize). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions and company metadata where the source provides them.

Input

The main inputs are a search keyword and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — Job search keywords (e.g. "python", "销售"). Leave empty to browse all jobs in the selected city.
• cityId — City code (e.g. "530" for Beijing, "538" for Shanghai, "765" for Shenzhen). Defaults to Beijing. (default: "530")
• maxResults — Maximum total results. Zhaopin limits to 100 results per query (5 pages × 20). Set 0 for maximum available. (default: 25)
• includeDetails — Fetch full job details (description, company profile, address, geo coordinates, HR contact, skills, benefits). (default: true)
• descriptionMaxLength — Truncate description to N characters. 0 = no truncation. (default: 0)
• compact — Core fields only — for AI-agent and MCP workflows. (default: false)
• incrementalMode — Only return new or changed listings compared to the previous run. (default: false)
• stateKey — Identifier for the tracked universe. Use different keys for different query/city combinations.

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "developer",
  "maxResults": 50
}

Incremental tracking — Only emit jobs that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "developer",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "developer-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "query": "developer",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example job record

{
  "jobId": "4a9d0bda98b5aefe3b6b7faa1bf532c944bde53c6da104a161efcff0d1b332fa",
  "title": "python后端开发工程师",
  "company": "北京阿提拉科技有限公司",
  "companyId": 14764600,
  "companyLogo": "https://storage-public.zhaopin.cn/CompanyLogo/20150804/150542FB272A44B1A7477DC659096ACE.jpg",
  "companySize": "300-499人",
  "companyUrl": "http://company.zhaopin.com/CZ147646000.htm",
  "companyDescription": "阿提拉基本介绍 由来：阿提拉(ATTILA)是一位雄心壮志，才智超群，高超外交手腕，傲居全人类，持战神之剑，纵横无敌，握\"上帝之鞭\"的东方人，阿提拉建立的匈奴帝国是欧亚大草原上最辉煌的帝国。从勒内格鲁塞的不朽著作『草原帝国』中第一次接触到阿提拉，便被阿提拉深深吸引。2006年，开创以阿提拉为名字的科技公司，公司将借阿提拉之神剑，望最辉煌的成绩写入历史。 北京阿提拉公司成立于2006年10月30日，...",
  "industry": "计算机软件",
  "financingStage": "未融资",
  "location": "北京",
  "district": "西城",
  "address": "北京市西城区阜成门外大街2号万通金融中心A1008室",
  "latitude": "39.922733",
  "longitude": "116.354622",
  "salary": "1-1.7万",
  "salaryMin": 10001,
  "salaryMax": 17000,
  "education": "学历不限",
  "experience": "经验不限",
  "employmentType": "全职",
  "jobCategory": "软件研发",
  "recruitCount": 5,
  "skills": [
    "Python"
  ],
  "benefits": [],
  "description": "1）负责大模型应用架构设计、开发及优化工作，重点聚焦自然语言处理、对话系统、文本生成等场景；\n2）参与企业级AI项目的全周期建设，包括需求分析、模型选型、系统开发及技术落地实施；\n3）负责现有大模型应用系统的性能优化与迭代维护；\n4）深入理解业务场景需求，进行模型微调与提示词工程优化，设计效果评估体系；\n5）跟踪人工领域前沿技术动态，探索大模型和小模型在行业的训练与微调。\n2）具备1年以上NLP、...",
  "summary": "1）负责大模型应用架构设计、开发及优化工作，重点聚焦自然语言处理、对话系统、文本生成等场景；2）参与企业级AI项目的全周期建设，包括需求分析、模型选型、系统开发及技术落地实施；3）负责现有大模型应用系统的性能优化与迭代维护；4）深入理解业务场景需求，进行模型微调与提示词工程优化，设计效果评估体系；5）跟踪人工领域前沿技术动态，探索大模型和小模型在行业的训练与微调。2）具备1年以上NLP、LLM项目...",
  "hrName": "王永青",
  "hrTitle": "总经理",
  "portalUrl": "http://www.zhaopin.com/jobdetail/CC147646000J40851805014.htm",
  "postedDate": "2026-03-28T13:01:06+08:00",
  "firstPostedDate": "2026-03-28T13:01:06+08:00",
  "scrapedAt": "2026-03-28T13:08:53.032Z",
  "source": "zhaopin.com"
}

Incremental fields

When incremental: true, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED.
• firstSeenAt, lastSeenAt — ISO-8601 timestamps tracking the listing across runs.

How to scrape zhaopin.com

1. Go to Zhaopin Scraper in Apify Console.
2. Enter a search keyword.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need full descriptions, contact info, or company data.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract job data from zhaopin.com for market research and competitive analysis.
• Track salary trends across regions and categories over time.
• Monitor new and changed listings on scheduled runs without processing the full dataset every time.
• Research company hiring patterns, employer profiles, and industry distribution.
• Use structured location data for regional analysis, mapping, and geo-targeting.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.
• Analyze skill demand across listings using structured skill tags.

How much does it cost to scrape zhaopin.com?

Zhaopin Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.01 per run
• Per result: $0.002 per job record

Example costs:

• 10 results: $0.03
• 100 results: $0.21

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 100 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.21	$0.02	$0.19 (90%)	$0.60
15% — moderate broad query	$0.21	$0.04	$0.17 (81%)	$1.20
30% — high-volume aggregator	$0.21	$0.07	$0.14 (67%)	$2.10

Full re-scrape monthly cost at daily polling: $6.30. First month with incremental costs $0.79 / $1.37 / $2.24 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

FAQ

How many results can I get from zhaopin.com?

The number of results depends on the search query and available listings on zhaopin.com. Use the maxResults parameter to control how many results are returned per run.

Does Zhaopin Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Zhaopin Scraper with other apps?

Yes. Zhaopin Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Zhaopin Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Zhaopin Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode and descriptionMaxLength to keep payloads manageable for LLM context windows.

Is it legal to scrape zhaopin.com?

This actor extracts publicly available data from zhaopin.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.