Zhaopin Jobs Scraper - Search & Vacancy Details

Collect public job search results and detailed vacancies with Zhaopin Scraper. Compare Chinese vacancies by advertised salary, education, experience and employer while retaining skills and published benefits. Choose the records you need and export them to CSV, JSON or Excel without supplying a site login.

Use the results for Chinese recruitment intelligence. Submit matching public inputs in one run, retain the original record links, and send the structured output to your recruitment spreadsheet, reporting dashboard or research database.

At a glance	Details
📥 Input	Search fields or links to the selected items; see the examples below
📤 Output	One row per job vacancy
📄 Pagination	Automatic up to maxResults for each input, when more results are available
🔐 Login required	No
⚡ Processing	Multiple inputs per run with automatic retries for temporary errors
💾 Delivery	One complete Apify dataset table; CSV, JSON and Excel export

What the Zhaopin scraper collects 💼

Collect job search results and detailed vacancies. Compare Chinese vacancies by advertised salary, education, experience and employer while retaining skills and published benefits.

Collection	What you receive
Zhaopin jobs scraper	Records containing job titles, employers, locations, published pay, skills, ready for vacancy discovery and hiring-demand research.
Zhaopin job details scraper	Records containing job titles, employers, locations, published pay, skills, ready for vacancy enrichment and candidate-requirement analysis.

Data can include:

• Record identity: Record identifiers, public links and the published job title or company name.
• Pay and compensation: Published salary or wage text, plus the amount, range, currency and pay-period fields supplied with the record.
• Employer information: Employer names, identifiers and profile links, with the company information attached to the public record.
• Location and workplace: Published workplace and location information, addresses and geographic coordinates.
• Descriptions and requirements: Published job or company descriptions, HTML and readable text where supplied and candidate requirements.
• Skills and qualifications: Required skills, experience or seniority requirements and education requirements.
• Employment and benefits: Employment and contract types and published benefits.
• Dates and hiring activity: Publication and update information, advertised openings and published application or view counts.

How to scrape Zhaopin 🚀

1. Choose Job Search in What to collect, or select another collection mode.
2. Fill in the search fields, or paste links to the items you want to collect.
3. Set the maximum results and any optional filters.
4. Start the Actor and review the collected rows.
5. Export the dataset or connect it to your application.

Zhaopin jobs scraper — input example

{
  "mode": "zhaopin-job-search",
  "keywords": "Java",
  "location": "北京",
  "maxResults": 10
}

maxResults: 10 means up to 10 results for each input. It does not guarantee that the website has that many matches. You can set the limit as low as 1.

Zhaopin job details scraper — input example

{
  "mode": "zhaopin-job-details",
  "jobUrls": [
    "https://www.zhaopin.com/jobdetail/CC175703610J40798139807.htm"
  ],
  "maxResults": 10
}

Zhaopin data fields and complete output 📦

Field group	Included data
Record identity	Record identifiers, public links and the published job title or company name.
Pay and compensation	Published salary or wage text, plus the amount, range, currency and pay-period fields supplied with the record.
Employer information	Employer names, identifiers and profile links, with the company information attached to the public record.
Location and workplace	Published workplace and location information, addresses and geographic coordinates.
Descriptions and requirements	Published job or company descriptions, HTML and readable text where supplied and candidate requirements.
Skills and qualifications	Required skills, experience or seniority requirements and education requirements.
Employment and benefits	Employment and contract types and published benefits.
Dates and hiring activity	Publication and update information, advertised openings and published application or view counts.

Each collected item is a separate row. input identifies the submitted value and result_type identifies the selected mode. All returned fields appear in one table; columns that do not apply to a mode can be empty.

A complete JSON result is shown for every collection mode below, in the same order as the input examples. Each example includes every field for its mode; text and lists are not shortened. Values are representative and can change.

Zhaopin jobs scraper — complete JSON result

{
  "result_type": "zhaopin-job-search",
  "input": "Java",
  "status": "success",
  "id": "CC399251520J40915243903",
  "url": "http://jobs.zhaopin.com/CC399251520J40915243903.htm",
  "title": "后端开发工程师",
  "company_id": "CZ399251520",
  "company_name": "广州华心市场信息咨询有限公司",
  "company_url": "http://company.zhaopin.com/CZ399251520.htm",
  "company_logo_url": "https://rd5-public.zhaopin.cn/imgs/company/43617f33782ea4a20f8f1f306dfa577f.jpg",
  "description_text": null,
  "description_html": null,
  "salary_text": "5000-10000元",
  "salary_min": null,
  "salary_max": null,
  "salary_currency": null,
  "salary_period": null,
  "location": "广州",
  "address": null,
  "latitude": null,
  "longitude": null,
  "published_at": "2026-08-10 10:45:33",
  "updated_at": null,
  "industry": "咨询服务",
  "employment_type": "全职",
  "experience": "1-3年",
  "education": "本科",
  "skills": [
    "JavaScript",
    "Python",
    "CSS",
    "Spring",
    "Hibernate",
    "Struts",
    "MySQL",
    "PostgreSQL",
    "Oracle"
  ],
  "benefits": [],
  "benefits_text": null,
  "requirements_text": null,
  "job_categories": null,
  "recruitment_count": "0",
  "applicant_count_text": null,
  "source_status": null
}

Zhaopin job details scraper — complete JSON result

{
  "result_type": "zhaopin-job-details",
  "input": "CC175703610J40798139807",
  "status": "success",
  "id": "CC175703610J40798139807",
  "url": "http://jobs.zhaopin.com/CC175703610J40798139807.htm",
  "title": "软件工程师",
  "company_id": "CZ175703610",
  "company_name": "辽宁鼎鑫汽车贸易有限公司",
  "company_url": "http://company.zhaopin.com/P2/CC1757/0361/CC175703610.htm",
  "company_logo_url": "https://storage-public.zhaopin.cn/org/logo/1700026034089237544/%E5%9B%BE%E7%89%871.png",
  "description_text": "岗位职责：\n  1.负责公司前端（Web/H5）、后端系统及小程序的日常维护，保障功能稳定运行，及时修复线上问题。\n  2.根据业务需求，参与新功能模块的设计与开发，涵盖前端交互、后端接口及小程序功能实现。\n  3.优化现有系统性能，提升用户体验，确保各端（前端、后端、小程序）协同高效\n  4.配合产品、测试团队推进项目落地，输出基础技术文档。\n  任职要求：\n  1.本科及以上学历，计算机相关专业，3 年以上全栈开发经验，有前端 + 小程序 + 后端一体化项目经验者优先；\n  2.精通前端技术栈（HTML5/CSS3/JavaScript，至少熟练掌握一种主流框架如 Vue、React），熟悉小程序开发规范与多端适配方案；\n  3.掌握至少一种后端开发语言（Java/Python/Go 等）及对应框架，具备数据库设计与优化能力；\n  4.具备良好的问题排查能力、逻辑思维能力及沟通协作能力，能独立负责中小型项目的全流程开发。",
  "description_html": "<div> <p>岗位职责：</p> <p>1.负责公司前端（Web/H5）、后端系统及小程序的日常维护，保障功能稳定运行，及时修复线上问题。</p> <p>2.根据业务需求，参与新功能模块的设计与开发，涵盖前端交互、后端接口及小程序功能实现。</p> <p>3.优化现有系统性能，提升用户体验，确保各端（前端、后端、小程序）协同高效</p> <p>4.配合产品、测试团队推进项目落地，输出基础技术文档。</p> <p>任职要求：</p> <p>1.本科及以上学历，计算机相关专业，3 年以上全栈开发经验，有前端 + 小程序 + 后端一体化项目经验者优先；</p> <p>2.精通前端技术栈（HTML5/CSS3/JavaScript，至少熟练掌握一种主流框架如 Vue、React），熟悉小程序开发规范与多端适配方案；</p> <p>3.掌握至少一种后端开发语言（Java/Python/Go 等）及对应框架，具备数据库设计与优化能力；</p> <p>4.具备良好的问题排查能力、逻辑思维能力及沟通协作能力，能独立负责中小型项目的全流程开发。</p></div>",
  "salary_text": "6000-10000元",
  "salary_min": null,
  "salary_max": null,
  "salary_currency": null,
  "salary_period": null,
  "location": "沈阳",
  "address": "沈阳德宝大厦",
  "latitude": 41.72793622312196,
  "longitude": 123.46376265246855,
  "published_at": "2026-09-17 00:10:02",
  "updated_at": null,
  "industry": "新能源/燃油整车研发制造",
  "employment_type": "全职",
  "experience": "3-5年",
  "education": "本科",
  "skills": [
    "MySQL",
    "JavaScript",
    "Spring"
  ],
  "benefits": [],
  "benefits_text": null,
  "requirements_text": null,
  "job_categories": null,
  "recruitment_count": "1",
  "applicant_count_text": null,
  "source_status": "4"
}

Images, tags and other lists stay with their parent result instead of creating extra rows. Invalid or unavailable inputs, inputs with no results, and requests that fail after all retries produce a row with status: failed. At most one failed row is saved per input; it includes error_code and error_message explaining the outcome. A normal end of pagination after collected results does not add a failed row.

Input requirements and collection settings ⚙️

Setting	What to enter
What to collect (mode)	Choose the information to collect.
Maximum results per search or link (maxResults)	Collect up to this many results for each search or link. Minimum: 1.
Job title or keywords (keywords)	For example, accountant or software engineer. Leave empty to browse all jobs. For Job Search.
Location (location)	Choose location. For Job Search.
Job listing links (jobUrls)	Paste one link per line. Example: https://www.zhaopin.com/jobdetail/CC175703610J40798139807.htm For Job Details.

Collection mode	Fields to use
Job Details	Job listing links
Job Search	Job title or keywords, Location

The result limit applies separately to each search or supplied link. Collection ends earlier when no more matching results are available.

Zhaopin scraping use cases 🎯

Hiring activity monitoring

Run repeat collections of Zhaopin listings and compare vacancy titles and original links over time to identify newly advertised roles and changes in hiring activity.

Vacancy enrichment

Turn known Zhaopin job links or supported identifiers into structured vacancy records for recruitment databases, job comparison tools and candidate research.

Advertised compensation research

Compare the compensation published in Zhaopin records. Keep the original salary text, units and available pay-period context when preparing recruitment or labour-market reports.

Skills demand analysis

Analyse the skills, experience or qualifications actually published in Zhaopin records to compare hiring requirements across role groups and prepare recruitment briefs.

Working-condition comparison

Compare the contract, schedule or benefit information published in Zhaopin records when researching how employers present their opportunities.

Pricing and saved-result behavior 💰

See the Actor's Pricing tab for the active pricing model and current rate. Store settings may change, so this README does not claim a fixed cost.

Under dataset-item pricing:

• Each collected item saved in the dataset is one result.
• Images, tags and other values attached to that item do not create additional rows.
• Automatic retry attempts do not create extra dataset rows.
• A saved failed row is also one billable dataset item, including invalid inputs, unavailable items, no results, or exhausted retries. At most one failed row is saved per input, including when some results were already collected.
• maxResults caps all saved rows for each input, including its failed row. Repeated copies of the same input are processed once. More inputs or a higher limit can produce more saved results.

Zhaopin scraper API and integrations 🔌

Replace $ACTOR_ID with the ID shown in the Actor API tab and $APIFY_TOKEN with your token.

curl -X POST "https://api.apify.com/v2/acts/$ACTOR_ID/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"mode":"zhaopin-job-search","keywords":"Java","location":"北京","maxResults":10}'

Use schedules for recurring collection, webhooks for completion notifications, and Apify integrations for Google Sheets, Make, Zapier, cloud storage, a CRM or your own application.

Reliability, retries, and public-data limits ⚠️

Temporary connection errors, timeouts and access restrictions are retried automatically, up to five attempts. Invalid inputs save a failed row without an HTTP request; confirmed unavailable items save a failed row without unnecessary retries. Exhausted retries also save a failed row. Results already collected remain available if a later request fails, and normal pagination completion adds no error row. Collection also stops after two consecutive fully processed pages add no new results, even if the website provides another cursor. Required detail lookups are completed before checking a page; new results reset the counter, and independent reply branches are checked separately. Failures while initializing the Actor, saving data or scheduling requests stop the run instead of being reported as a failed website result.

Search accepts keywords and the supported city path with kw. Choose job title or keywords, location in the input form.

Zhaopin controls which information is publicly available. Removed, private or restricted items may be unavailable, and optional values can be null or empty. A run can still fail if the results cannot be saved.

Frequently asked questions ❓

Does it require an account on Zhaopin?

No. You do not need to provide an account, password or login cookies. Only publicly available information is collected.

How does maxResults work?

It limits the number of saved results separately for every input. The minimum is 1. With maxResults set to 10, each input returns at most 10 available results. A detail lookup normally returns one record per input.

Which inputs and filters does this Actor support?

Search accepts keywords and the supported city path with kw. Choose job title or keywords, location in the input form.

When should I use Job Details instead of Job Search?

Use search to discover Zhaopin vacancies and their listing fields. Use details for a known vacancy when you need the additional description and requirements that the advertisement publishes.

Why are some fields empty?

The website may not publish that value, or the field may belong to a different collection mode. Missing values remain null or empty instead of being guessed.

Can I export the results to a spreadsheet?

Yes. Download CSV, Excel or JSON from the Apify dataset. All returned fields are included in the same results table.

Support and responsible use 🛟

For a reproducible issue, share the run ID, selected mode, result limit and a safe public example through the support channel. Never disclose access tokens, passwords or proxy credentials.

Use public Zhaopin information lawfully and responsibly. Follow applicable privacy, copyright, data-protection, contractual and platform requirements when storing, analyzing or redistributing results.