🗾 Wantedly Japan Tech Jobs & Startup Culture Scraper

🚀 Export Japanese startup job listings with full mission, culture, and team narrative data in seconds. Filter by 53 occupation slugs, free-text keyword, or paste any Wantedly listing or company URL. No API key, no registration, no manual CSV wrangling.

🕒 Last updated: 2026-05-21 · 📊 28 fields per record · 53 occupation slugs · Mission / culture / job-duties narrative capture · Founder, employee count, founding date

Wantedly is Japan's flagship community-driven recruiting platform. Instead of leading with salary bands and bullet-point requirements, every Wantedly listing pushes the company's mission ("なぜやるのか" - why we do it), team culture ("どうやっているのか" - how we do it), and the substance of the role ("こんなことやります" - what you'll do). It is the dominant venue Japanese startups use to court bilingual engineers, designers, and product managers who care about values fit. This Actor walks Wantedly's public /projects board, paginates the result set for any of the 53 occupation slugs or free-text queries, and returns one clean record per project with title, hiring company, employment type, full structured location, the full narrative blocks, and the JSON-LD JobPosting metadata.

Every record can be enriched in two extra hops: a fetch of the project detail page (to capture the long mission, culture, and job-duties prose) and a fetch of the company page (to pull founder name, founding date, employee headcount, slogan, company description, official website, and address). The Actor reads the JSON-LD that Wantedly publishes alongside every project and company page, so the structured data is the source of truth rather than brittle DOM selectors. Apify residential routing through Japan keeps the requests inside the same geo the official site serves and keeps the Wantedly-side bot filters happy.

🎯 Target Audience	🛠 Primary Use Cases
Tech recruiters sourcing in Japan	Japan tech talent sourcing across 53 occupation slugs
Japan market and ecosystem analysts	Japanese startup ecosystem research with mission, culture, headcount
Global HR platforms and ATS vendors	Backfilling Japan inventory missed by LinkedIn and Indeed
Compensation and labour-market researchers	Cross-cultural HR analytics with founder, founding-date, employee-count signals
Founders and community operators	Competitive intelligence on how peers position mission and culture

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📋 What the Wantedly Japan Tech Jobs Scraper does

• 🧭 53 occupation slugs. Pick anything from jp__mobile_engineer, jp__web_engineer, jp__data_scientist, jp__ui_ux_designer, jp__product_manager to jp__corporate_planning. Leave blank to crawl every occupation.
• 🔍 Free-text keyword search. Mix Japanese or English keywords ("python", "AI", "デザイナー") on top of the occupation filter, just like the site search box.
• 💫 Mission and culture narrative. Every Wantedly project ships three culture sections ("why we do it", "how we do it", "what you do"). The Actor captures all three as separate fields, ready for downstream NLP, embedding, or values-fit scoring.
• 🏢 Company-page enrichment. Each unique hiring company is fetched once and merged: founder name, founding date, employee count, slogan, address, company description, official website.
• 🔗 Start URL passthrough. Already have a Wantedly project ID, a company slug, or a filter URL? Paste it into startUrls and the Actor will route it through the right parser (project, company, or listing).
• ⚡ JSON-LD source of truth. Wantedly publishes JobPosting and Organization schema.org blocks on every page. The Actor reads those rather than relying on DOM classes, so layout tweaks do not break the schema.

Each record carries the project image URL, title, employment type, occupation category, full structured location (country, region, locality, street address), project URL, project ID, long description, the short snippet, the mission / culture / job-duties narratives, posting timestamp, company name and slug, company URL on Wantedly, company logo, company description and slogan, employee headcount, founding date, founder, the company's external website, the listing URL the project came from, and a scrape timestamp.

💡 Why it matters: LinkedIn and Indeed under-cover Japan's startup ecosystem because the platforms recruiters there actually use (Wantedly, Bizreach, Green) are different. Pair this Actor with a LinkedIn scraper to see what your global feeds are missing, especially in the bilingual product, AI, and design talent pools.

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🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing occupation filtering, keyword search, mission / culture capture, and downstream Japan tech sourcing use cases.

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⚙️ Input

Field	Type	Required	Description
startUrls	array of URLs	No	Direct Wantedly project (/projects/{id}), company (/companies/{slug}), or listing URLs. When set, overrides the occupation and keyword fields.
maxItems	integer	No	Cap on records returned. Free plan caps at 10. Paid plans up to 1,000,000. Defaults to 10.
occupationTypes	enum (multi-select)	No	53 Wantedly occupation slugs covering engineering, design, PM, marketing, sales, corporate, consulting, and medical. Leave empty to crawl all occupations.
searchQuery	string	No	Free-text keyword to combine with the occupation filter (e.g. "python", "machine learning", "デザイナー").
sortBy	enum	No	Result ordering: mixed (default), popular, or recent.
includeJobDetails	boolean	No	Fetch each project page for full mission, culture, job-duties narrative and the long JobPosting description. Defaults to true.
includeCompanyDetails	boolean	No	Fetch each hiring company page to capture founder, founding date, employee count, slogan, address, company description, and official website. Defaults to true.
proxyConfiguration	object	No	Apify proxy. Defaults to residential with country JP. Required from the Apify cloud since datacenter routes are filtered.

Example: Japanese AI engineers, 50 results with full enrichment.

{
  "maxItems": 50,
  "occupationTypes": ["jp__web_engineer"],
  "searchQuery": "AI",
  "includeJobDetails": true,
  "includeCompanyDetails": true
}

Example: replay a specific Wantedly listing URL.

{
  "maxItems": 100,
  "startUrls": [
    "https://www.wantedly.com/projects?occupation_types[]=jp__data_scientist"
  ],
  "includeJobDetails": true,
  "includeCompanyDetails": true
}

⚠️ Good to Know: Wantedly's listing page returns 10 projects per page from a JSON-LD ItemList, which is what the Actor uses as the source of truth. Detail-page enrichment adds a second fetch per project (for mission, culture, job duties), and company enrichment adds one fetch per unique company (deduplicated). Disable either flag to halve the run time if you only need the listing-level fields.

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📊 Output

Every record is one Wantedly project, one row. Free plan returns 10. Paid plans up to 1,000,000.

🧾 Schema

Field	Type	Example
🖼️ imageUrl	string	https://images.wantedly.com/i/pmdc9cF
📌 title	string	Webサイト・LPの実装〜改善まで担う方
🎯 occupationalCategory	string	Webディレクター
💼 employmentType	string	FULL_TIME
🌏 jobLocationCountry	string	JP
🗾 jobLocationRegion	string	東京都
🏙️ jobLocationLocality	string	港区
📍 jobLocationStreetAddress	string	北青山2-12-13 青山KYビル3階
🔗 jobUrl	string	https://www.wantedly.com/projects/2362110
🆔 jobId	string	2362110
📝 description	string	full JobPosting description prose
✂️ descriptionShort	string	first 240 chars of description
💫 missionWhy	string	"why we do it" narrative ("なぜやるのか")
🤝 cultureHow	string	"how we do it" narrative ("どうやっているのか")
📋 jobDutiesWhat	string	"what you'll do" narrative ("こんなことやります")
📅 datePosted	string	2026-03-10T00:58:45.870Z (ISO 8601)
🏢 companyName	string	株式会社ワイシーグループ
🏷️ companySlug	string	company_4864506
🌐 companyUrl	string	https://www.wantedly.com/companies/company_4864506
🖼️ companyLogo	string	https://d2v9k5u4v94ulw.cloudfront.net/assets/images/...
📖 companyDescription	string	company description prose
💬 companySlogan	string	パートナーと長く成長し続ける仕組みをつくる
👥 companyEmployees	number	55
🎂 companyFoundingDate	string	2014-03-01 (ISO 8601 date)
👤 companyFounder	string	小園 洋平
🔗 companyWebsite	string	https://yc-group.jp
🔎 listingUrl	string	source listing URL the project came from
⏱️ scrapedAt	string	2026-05-21T14:07:39.168Z
⚠️ error	string	only present on failed records

📦 Sample records

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✨ Why choose this Actor

	Capability
🗾	Japan-native job inventory. Wantedly is where Japanese startups actually post. LinkedIn and Indeed feeds miss the bilingual product, design, and engineering talent that lives on Wantedly.
💫	Mission and culture as data. Three separate narrative fields per record (mission, culture, job duties) let you embed, score, or filter on values fit rather than salary alone.
👥	Headcount and founding data. Company enrichment adds founder name, founding date, employee count, slogan, and the official corporate website to every record.
🎯	53 occupation slugs. Engineering, design, PM, marketing, sales, corporate, consulting, medical. Each slug returns a different inventory so you can scope precisely.
🌐	JSON-LD source of truth. JobPosting and Organization schema.org blocks are the source. Layout tweaks do not break the schema; the Actor stays stable across Wantedly redesigns.
🛡️	Anti-blocking via residential proxy. Apify residential routing with country JP keeps the requests local and consistent with how Wantedly serves Japanese users.
📊	Predictable schema. 28 fields, every column populated where the source has it. Dead always-null columns are pruned, not shipped.

📊 Wantedly hosts thousands of active project listings across 53 occupation slugs, with full mission and culture data on every page. No other Japan recruiting source surfaces this much narrative signal in structured form.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ Wantedly Japan Tech Jobs Scraper (this Actor)	Pay per item	Japan startup ecosystem, 53 occupations	Live	Occupation, keyword, URL	Zero config
Global aggregators routed at Japan	Per item	English-language Japan listings only	Live	Generic global filters	Aggregator-specific quirks
Recruiter-side ATS exports	Subscription per seat	One employer at a time	Manual	Internal taxonomy	Per-employer setup
Manual translation pipelines	Free or per-translation cost	Snapshot only	One-shot	None	Time-intensive

For Japan-native tech-startup sourcing with mission and culture signal, this Actor is the path of least resistance.

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🚀 How to use

1. 🔐 Sign up. Create a free account w/ $5 credit (no card required for the free tier).
2. 🔍 Find the Actor. Search "Wantedly Japan Tech Jobs Scraper" in the Apify Store, or open it directly from the ParseForge collection.
3. ⚙️ Set inputs. Pick an occupation slug (or leave blank), optionally add a keyword, set maxItems, and toggle the two enrichment flags.
4. ▶️ Run. Click Start. Watch the live log as each page and project is processed.
5. 📥 Export. Pull results as JSON, CSV, Excel, XML, RSS, or push directly into Sheets, Slack, BigQuery, or any webhook.

⏱️ Total time: under 2 minutes from sign-up to first download.

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💼 Business use cases

🧑‍💼 Japan tech recruiters Daily feeds for bilingual engineer and product roles Surface roles your LinkedIn scraper misses entirely Source from regional employers outside Tokyo and Osaka Cross-reference Wantedly project with company headcount and founding date	📊 Japan market and ecosystem analysts Map hiring demand by occupation, region, and company size Track which startups are pivoting from mission and culture signals Build founder, founding-date, headcount snapshots over time Quantify Japan startup employment by sector
🌐 Global HR platforms and ATS vendors Backfill Japan inventory missing from English-language sources Power "similar roles" carousels with Japan-native data Enrich candidate profiles with company culture signal Localise candidate-side search with native Japanese text	🔬 Compensation and labour-market researchers Track work-mode shifts across Japan startups Measure occupation share by employer size and age Generate cross-cultural HR analytics from a single feed Quantify founder cohorts and company-age distribution

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🔌 Automating Wantedly Japan Tech Jobs Scraper

Run on demand from your own code, or set it on a schedule.

• Node.js client for JavaScript and TypeScript callers
• Python client for data-science workflows and notebooks
• REST API docs for any language with HTTP

Use Apify Schedules to run this Actor every hour, every morning, or once a week. Combine with Webhooks to push new postings into Slack, a database, or your ATS the moment they are scraped.

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🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

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🤖 Ask an AI assistant about this scraper

You can paste the schema table above into any AI assistant and ask it to help you:

• Write a Python script to filter records by occupationalCategory
• Build a spreadsheet formula to count hires by jobLocationRegion
• Draft a prompt to summarise missionWhy values across a dataset
• Suggest downstream tools to embed cultureHow for values-fit scoring

The structured JSON output is designed for exactly this kind of downstream automation.

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❓ Frequently Asked Questions

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🔌 Integrate with any app

• Zapier - hundreds of no-code triggers and actions
• Make - visual automation builder
• n8n - self-hosted workflow automation
• Slack - push new Wantedly listings into a channel
• Google Sheets - auto-append daily runs to a spreadsheet
• Airbyte - pipe results into your data warehouse

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🔗 Recommended Actors

• 💼 LinkedIn Jobs Scraper - postings from LinkedIn's job board with company and salary signals
• 🟦 Indeed Scraper - the world's largest job search engine, with full filters
• 🦄 Wellfound Jobs Scraper - global startup job board with company stage and funding signals
• 📊 Levels Fyi Scraper - real-money tech compensation data to complement Wantedly's culture-first listings
• 🌍 Adzuna Job Aggregator Scraper - Adzuna's 19-country meta-search with real and predicted salaries

💡 Pro Tip: browse the complete ParseForge collection for more job, salary, and labour-market scrapers.

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🆘 Need Help? Open our contact form

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Disclaimer. This Actor scrapes only public Wantedly project and company pages. It does not bypass authentication, paywalls, or technical protection measures. You are responsible for using the resulting data in compliance with Wantedly's Terms of Service and your local laws (including GDPR, CCPA, APPI, and copyright). ParseForge does not affiliate with, endorse, or claim any partnership with Wantedly.