Daijob Scraper
Pricing
Pay per usage
Daijob Scraper
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

Shahid Irfan
Actor stats
0
Bookmarked
5
Total users
0
Monthly active users
2 days 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 — Collect enriched Daijob listings with role, company, salary, language, and contract information.
- Search and detail coverage — Start from a Daijob search page, a detail page, or the default Daijob jobs feed URL and receive detailed job output.
- Deduplicated dataset — Prevent repeated jobs and return clean records without empty-value noise.
- Location and category breakdowns — Capture job type, industry, and multi-level location paths for better filtering and reporting.
- Flexible collection size — Control result volume with
results_wantedand page depth withmax_pages. - Ready for automation — 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
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
startUrl | String | No | https://www.daijob.com/en/jobs/feed/0/feed.atom | Optional Daijob URL. Search-result URLs, detail URLs, and the default feed URL are all accepted. |
collectDetails | Boolean | No | false | Compatibility field retained in the input. Detailed job records are included in output. |
results_wanted | Integer | No | 20 | Maximum number of jobs to collect. |
max_pages | Integer | No | 1 | Maximum number of Daijob result pages to scan for job links. |
proxyConfiguration | Object | No | {} | Optional proxy settings for more stable collection. |
Output Data
Each dataset item can include the following fields:
| Field | Type | Description |
|---|---|---|
job_id | String | Daijob job identifier from the detail page URL. |
source | String | Source marker for the collected job record. |
locale | String | Page locale, such as en. |
url | String | Canonical Daijob detail page URL. |
search_url | String | Search-result page where the job was discovered. |
title | String | Job title. |
company | String | Company name. |
job_types | Array | One or more Daijob role categories. |
industry | String or Array | Industry classification shown on the job page. |
location_path | Array | Hierarchical location path such as region, country, prefecture, and city. |
location | String | Human-readable location path. |
description_text | String | Plain-text job description. |
description_html | String | Clean HTML version of the job description. |
company_info | String | Clean company information text. |
working_hours | String | Working-hours summary when available. |
job_requirements | String | Requirements and qualification summary. |
english_level | String | English proficiency level. |
japanese_level | String | Japanese proficiency level. |
chinese_level | String | Chinese proficiency level when available. |
salary | String | Salary summary from the listing. |
other_salary_description | String | Additional salary and benefits details. |
holidays | String | Holiday and leave information. |
job_contract_period | String | Contract or employment period details. |
nearest_station | String | Commute and nearest-station information. |
apply_url | String | Direct Daijob apply link. |
like_url | String | Daijob save or like link. |
detail_page_title | String | Full 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: 20for quick verification. - Increase
max_pageswhen you want broader coverage from a search page. - Match
results_wantedto 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, andlocation_pathfor grouping and filtering. - Use
description_textfor analysis anddescription_htmlwhen 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 — Review job listings in a spreadsheet.
- Airtable — Build searchable recruiting or market-intelligence databases.
- Slack — Send alerts for new matching openings.
- Webhooks — Deliver datasets to custom services.
- Make — Build automated reporting and notification scenarios.
- Zapier — Trigger follow-up actions from new results.
Export Formats
- JSON — For developers and automated workflows.
- CSV — For spreadsheet analysis.
- Excel — For business reporting.
- XML — 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.