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URL: https://apify.com/shahidirfan/daijob-scraper

โ‡ฑ Daijob Scraper ยท Apify


Pricing

Pay per usage

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Scrape Japan's leading job board with the Daijob Scraper actor. This lightweight tool efficiently extracts job listings directly from Daijob. To ensure reliable access and best results, especially from outside Japan, using residential proxies is strongly recommended.

Pricing

Pay per usage

Rating

5.0

(1)

Developer

๐Ÿ‘ Shahid Irfan

Shahid Irfan

Maintained by Community

Actor stats

0

Bookmarked

16

Total users

2

Monthly active users

3 months ago

Last modified

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Daijob Jobs Scraper

Extract detailed job listings from Daijob.com for research, monitoring, and analysis. Collect rich job records including company details, role categories, location data, language requirements, salary information, working conditions, and application links in a structured dataset.


Features

  • Detailed job records โ€” Collect enriched Daijob listings with role, company, salary, language, and contract information.
  • Search and detail coverage โ€” Start from a Daijob search page, a detail page, or the default Daijob jobs feed URL and receive detailed job output.
  • Deduplicated dataset โ€” Prevent repeated jobs and return clean records without empty-value noise.
  • Location and category breakdowns โ€” Capture job type, industry, and multi-level location paths for better filtering and reporting.
  • Flexible collection size โ€” Control result volume with results_wanted and page depth with max_pages.
  • Ready for automation โ€” Export structured job data for dashboards, spreadsheets, alerts, and downstream workflows.

Use Cases

Recruitment Research

Track active multilingual and international job openings on Daijob. Build talent-market snapshots by role, company, location, and language expectations.

Market Intelligence

Monitor hiring demand across industries and regions in Japan. Compare salary visibility, hiring themes, and employer activity over time.

Job Board Analysis

Create datasets for category analysis, location clustering, and opportunity tracking. Review how positions are distributed across job types and industries.

Lead Generation

Identify companies actively hiring for bilingual, technical, and international-facing roles. Use application links and company details to support outreach workflows.

Career Opportunity Monitoring

Follow new openings that match specific search URLs or saved result pages. Collect structured detail fields for reporting or personal job tracking.


Input Parameters

ParameterTypeRequiredDefaultDescription
startUrlStringNohttps://www.daijob.com/en/jobs/feed/0/feed.atomOptional Daijob URL. Search-result URLs, detail URLs, and the default feed URL are all accepted.
collectDetailsBooleanNofalseCompatibility field retained in the input. Detailed job records are included in output.
results_wantedIntegerNo20Maximum number of jobs to collect.
max_pagesIntegerNo1Maximum number of Daijob result pages to scan for job links.
proxyConfigurationObjectNo{}Optional proxy settings for more stable collection.

Output Data

Each dataset item can include the following fields:

FieldTypeDescription
job_idStringDaijob job identifier from the detail page URL.
sourceStringSource marker for the collected job record.
localeStringPage locale, such as en.
urlStringCanonical Daijob detail page URL.
search_urlStringSearch-result page where the job was discovered.
titleStringJob title.
companyStringCompany name.
job_typesArrayOne or more Daijob role categories.
industryString or ArrayIndustry classification shown on the job page.
location_pathArrayHierarchical location path such as region, country, prefecture, and city.
locationStringHuman-readable location path.
description_textStringPlain-text job description.
description_htmlStringClean HTML version of the job description.
company_infoStringClean company information text.
working_hoursStringWorking-hours summary when available.
job_requirementsStringRequirements and qualification summary.
english_levelStringEnglish proficiency level.
japanese_levelStringJapanese proficiency level.
chinese_levelStringChinese proficiency level when available.
salaryStringSalary summary from the listing.
other_salary_descriptionStringAdditional salary and benefits details.
holidaysStringHoliday and leave information.
job_contract_periodStringContract or employment period details.
nearest_stationStringCommute and nearest-station information.
apply_urlStringDirect Daijob apply link.
like_urlStringDaijob save or like link.
detail_page_titleStringFull detail-page title text.

Usage Examples

Basic Collection

{
"results_wanted":20
}

Search URL Collection

{
"startUrl":"https://www.daijob.com/en/jobs/search_result?job_post_language=1&page=1",
"results_wanted":50,
"max_pages":3
}

Single Detail Page

{
"startUrl":"https://www.daijob.com/en/jobs/detail/1514345"
}

Higher-Volume Collection With Proxy

{
"startUrl":"https://www.daijob.com/en/jobs/search_result?job_post_language=1",
"results_wanted":100,
"max_pages":20,
"proxyConfiguration":{
"useApifyProxy":true,
"apifyProxyGroups":["RESIDENTIAL"]
}
}

Sample Output

{
"job_id":"1514711",
"source":"search-detail-html",
"locale":"en",
"url":"https://www.daijob.com/en/jobs/detail/1514711",
"search_url":"https://www.daijob.com/en/jobs/search_result?job_post_language=1&page=5",
"title":"[No experience necessary] Data center operations staff (night shift) | Access control and receiving of goods | Work location: Toyosu",
"company":"PTS Japan Co., Ltd./PTS Japan K.K",
"job_types":[
"IT (Other) - Other",
"Administrative - Other"
],
"industry":"Consulting - Other",
"location_path":[
"Asia",
"Japan",
"Tokyo"
],
"location":"Asia / Japan / Tokyo",
"description_text":"You will be responsible for nighttime operational support at a data center that operates 24 hours a day, 365 days a year...",
"description_html":"<p>You will be responsible for nighttime operational support at a data center...</p>",
"company_info":"PTS Japan is a project management consulting company...",
"working_hours":"Night Shift (12-hour shift) Example: 8:00 PM - 8:00 AM (with breaks)...",
"job_requirements":"Basic PC skills, ability to work night shifts, and an interest in IT infrastructure...",
"english_level":"Daily Conversation Level (TOEIC 475-730)",
"japanese_level":"Fluent(JLPT Level 1 or N1)",
"salary":"JPY - Japanese Yen JPY 3500K - JPY 4500K",
"other_salary_description":"Fully equipped with social insurance Full transportation allowance contract employee",
"holidays":"Approximately 14-16 days of work per month (shift work) Paid leave Bereavement leave",
"job_contract_period":"contract employee",
"nearest_station":"Data center in the Toyosu area, Koto Ward, Tokyo...",
"apply_url":"https://www.daijob.com/en/member/gotoapply/1514711"
}

Tips for Best Results

Use Relevant Daijob URLs

  • Start with working Daijob search-result URLs for focused collection.
  • Use a specific detail page when you only need one job record.
  • Keep the default URL for broad multilingual job discovery.

Balance Depth and Speed

  • Start with results_wanted: 20 for quick verification.
  • Increase max_pages when you want broader coverage from a search page.
  • Match results_wanted to your real reporting need instead of collecting unnecessary volume.

Improve Stability

  • Use residential proxies for larger collection runs.
  • Retry with a smaller page range if you only need a narrow sample.
  • Keep a stable search URL when comparing results over time.

Work With Structured Fields

  • Use job_types, industry, and location_path for grouping and filtering.
  • Use description_text for analysis and description_html when you need formatted description content.
  • Use the remaining top-level fields directly without extra nested cleanup.

Proxy Configuration

For more stable larger runs, residential proxies are recommended:

{
"proxyConfiguration":{
"useApifyProxy":true,
"apifyProxyGroups":["RESIDENTIAL"]
}
}

Integrations

Connect your dataset with:

  • Google Sheets โ€” Review job listings in a spreadsheet.
  • Airtable โ€” Build searchable recruiting or market-intelligence databases.
  • Slack โ€” Send alerts for new matching openings.
  • Webhooks โ€” Deliver datasets to custom services.
  • Make โ€” Build automated reporting and notification scenarios.
  • Zapier โ€” Trigger follow-up actions from new results.

Export Formats

  • JSON โ€” For developers and automated workflows.
  • CSV โ€” For spreadsheet analysis.
  • Excel โ€” For business reporting.
  • XML โ€” For system integrations.

Frequently Asked Questions

Can I use a Daijob search URL?

Yes. A Daijob search-result URL is the best starting point when you want a focused dataset for a specific query or filter combination.

Can I scrape a single job page?

Yes. If startUrl points to a Daijob detail page, the actor returns the structured record for that job.

How many jobs can I collect?

You can collect as many as are available within your selected page range and result limit. Increase max_pages when your search spans many result pages.

Why are some fields missing on certain jobs?

Some Daijob listings do not publish every field. When the source page does not provide a section, that field is omitted from the dataset instead of being filled with empty values.

Are duplicate jobs removed?

Yes. Jobs are deduplicated by unique listing identity before dataset output.

Does the actor include apply links?

Yes. When available, the output includes direct Daijob apply links and save links.


Support

For issues or feature requests, use the Apify Console support options for this actor.

Resources


Legal Notice

This actor is intended for legitimate data collection, research, and monitoring use cases. Users are responsible for ensuring compliance with website terms of service and applicable laws, and for using collected data responsibly.

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