# Bengo4 Japan Lawyer Directory Scraper (`jungle_synthesizer/bengo4-japan-lawyer-directory-scraper`) Actor Scrape lawyer profiles from bengo4.com — Japan's largest attorney directory with 22,000+ lawyers. Extracts name (kanji + furigana), bar association, office details, practice areas, consultation fee, free-consultation flag, languages spoken, reviews, and more. Filter by prefecture. - **URL**: https://apify.com/jungle\_synthesizer/bengo4-japan-lawyer-directory-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Business, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Bengo4 Japan Lawyer Directory Scraper Scrape lawyer profiles from [bengo4.com](https://www.bengo4.com) (弁護士ドットコム) — Japan's largest attorney directory with over 22,000 registered lawyers. ### What does this actor scrape? For each lawyer profile, the actor extracts: - **Name** — kanji (清水 陽平), furigana reading (しみず ようへい), and English/romaji name when provided - **Bar registration** — regional bar association (e.g. 東京弁護士会) and bar registration year - **Office details** — name, full address (postal code + prefecture + city + street), phone number, and external website - **Practice areas** — comma-separated list (e.g. 交通事故, 離婚, 企業法務, インターネット問題) - **Languages spoken** — comma-separated list when declared (e.g. 英語, 中国語) - **English-capable flag** — true when the lawyer handles English-language consultations - **Free-consultation flag** — true when the lawyer offers 初回相談無料 (free initial consultation) - **Consultation fee** — as described on the profile (e.g. "30分5,500円") when disclosed - **Career start year** — year of bar registration - **Photo URL** — lawyer headshot or office photo - **Review count and average rating** — when available on the profile page - **Premium tier flag** — true for 弁護士.com PRO / 有料会員 listings - **Profile URL** and **scrape timestamp** ### Input parameters | Parameter | Type | Description | Default | |-----------|------|-------------|---------| | `maxItems` | integer | Maximum number of lawyer profiles to scrape (0 = no limit) | 5 | | `prefecture` | string | Prefecture slug(s) to scrape, comma-separated. Leave blank for all 47 prefectures. | `tokyo` | #### Prefecture slugs Use the English slug for each Japanese prefecture: | Slug | Prefecture | Slug | Prefecture | |------|-----------|------|-----------| | `tokyo` | 東京都 | `osaka` | 大阪府 | | `kanagawa` | 神奈川県 | `kyoto` | 京都府 | | `aichi` | 愛知県 | `hyogo` | 兵庫県 | | `saitama` | 埼玉県 | `fukuoka` | 福岡県 | | `chiba` | 千葉県 | `hokkaido` | 北海道 | All 47 prefecture slugs are supported (e.g. `aomori`, `iwate`, `miyagi`, `akita`, `yamagata`, `fukushima`, `ibaraki`, `tochigi`, `gunma`, `niigata`, `toyama`, `ishikawa`, `fukui`, `yamanashi`, `nagano`, `shizuoka`, `mie`, `shiga`, `nara`, `wakayama`, `tottori`, `shimane`, `okayama`, `hiroshima`, `yamaguchi`, `tokushima`, `kagawa`, `ehime`, `kochi`, `saga`, `nagasaki`, `kumamoto`, `oita`, `miyazaki`, `kagoshima`, `okinawa`, `gifuken`). ### Example output ```json { "lawyer_id": "125916", "name_kanji": "北本 大志", "name_furigana": "きたもと ひろゆき", "name_english": "", "bar_registration_number": "", "bar_association": "第一東京弁護士会", "office_name": "日本橋総合法律事務所", "office_address": "〒1030027 東京都 中央区 日本橋2-3-21 八重洲セントラルビル8階", "office_phone": "05053488630", "office_fax": "", "office_url": "", "prefecture": "東京都", "city": "中央区", "practice_areas": "借金・債務整理, 労働問題, 不動産・建築, 離婚・男女問題, 企業法務・顧問弁護士, 交通事故, 遺産相続, 債権回収, 詐欺被害・消費者被害", "languages_spoken": "", "english_capable": false, "free_consultation": false, "consultation_fee_jpy": "30分ごとに5,000円（税別）", "career_start_year": 2001, "photo_url": "https://storage.bengo4.com/lawyer/images/125916_1.jpg", "review_count": 0, "average_rating": 0, "premium_tier": false, "profile_url": "https://www.bengo4.com/tokyo/a_13102/l_125916/", "source_url": "https://www.bengo4.com/tokyo/", "scraped_at": "2026-05-24T16:23:32.335Z" } ```` ### Use cases - **Legal tech vendor databases** — build attorney rosters with practice-area and fee dimensions for LegalForce, MNTSQ, Hubble, and similar platforms - **Foreign law firm partner search** — identify English-capable lawyers (filter `english_capable: true`) for inbound cross-border matters - **Legal staffing** — find lawyers by specialty and region for ALSP, corporate counsel, and contract-attorney platforms - **Market research** — analyze consultation fee structures, premium-tier distribution, and practice-area coverage by region - **Legal graph construction** — combine with corporate registry (hojin-bangou) and EDINET filings data to map "lawyer corporate counsel" relationships ### Scale Bengo4 covers approximately 22,700 lawyers across 47 prefectures. Tokyo alone has over 3,698 listed lawyers on 185 listing pages. A full national scrape produces roughly 22,000 unique profiles. ### Notes - Data is scraped from publicly visible lawyer profiles on bengo4.com - Review counts and ratings are captured when present on the server-rendered profile page - Practice areas come from the profile's declared specialty sections - The `prefecture` output field reflects the lawyer's office location as returned by bengo4.com # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `maxItems` (type: `integer`): Maximum number of lawyer profiles to scrape (0 = no limit) ## `prefecture` (type: `string`): Japanese prefecture slug(s) to scrape, comma-separated. Leave blank to scrape all 47 prefectures. Examples: tokyo, osaka, kyoto, kanagawa ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 5, "prefecture": "tokyo" } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 5, "prefecture": "tokyo" }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/bengo4-japan-lawyer-directory-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 5, "prefecture": "tokyo", } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/bengo4-japan-lawyer-directory-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 5, "prefecture": "tokyo" }' | apify call jungle_synthesizer/bengo4-japan-lawyer-directory-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/bengo4-japan-lawyer-directory-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bengo4 Japan Lawyer Directory Scraper", "description": "Scrape lawyer profiles from bengo4.com — Japan's largest attorney directory with 22,000+ lawyers. Extracts name (kanji + furigana), bar association, office details, practice areas, consultation fee, free-consultation flag, languages spoken, reviews, and more. Filter by prefecture.", "version": "0.1", "x-build-id": "0Ni2aLLIxFcIKyfQd" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~bengo4-japan-lawyer-directory-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-bengo4-japan-lawyer-directory-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~bengo4-japan-lawyer-directory-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-bengo4-japan-lawyer-directory-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~bengo4-japan-lawyer-directory-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-bengo4-japan-lawyer-directory-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of lawyer profiles to scrape (0 = no limit)", "default": 5 }, "prefecture": { "title": "Prefecture", "type": "string", "description": "Japanese prefecture slug(s) to scrape, comma-separated. Leave blank to scrape all 47 prefectures. Examples: tokyo, osaka, kyoto, kanagawa" } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```