# Rakuten Japan Email Scraper (`solid-scraper/rakuten-japan-email-scraper`) Actor 📧 Rakuten Japan Email Scraper extracts verified email contacts from Rakuten listings using advanced search filters. Ideal for lead generation, sales outreach, and market research. ⚡ Fast, accurate, and efficient—grow your pipeline with confidence. - **URL**: https://apify.com/solid-scraper/rakuten-japan-email-scraper.md - **Developed by:** [SolidScraper](https://apify.com/solid-scraper) (community) - **Categories:** Lead generation, E-commerce, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ### Rakuten Japan Email Scraper 📬 **Rakuten Japan Email Scraper** is an Apify actor that scrapes email addresses from **Rakuten Japan** using the keywords and email-domain filters you provide. Whether you’re using a **Rakuten Japan email scraper tool**, looking for **Rakuten email harvesting software**, or building a **Rakuten Japan seller email list**, this actor helps you extract emails from Rakuten Japan listings and related publicly available sources—saving you hours of manual searching at scale. --- ### Why choose Rakuten Japan Email Scraper? | Feature | Benefit | |---|---| | ✅ Keyword-driven sourcing | Helps you find relevant contacts using your own keyword ideas (including `keywords` + optional `location`) | | ✅ Email-domain filtering | Extracts only emails that match your `customDomains` filters (like `@gmail.com`) | | ✅ Reliability with proxy support | Supports proxy configuration via `proxyConfiguration` for more dependable runs | | ✅ Fallback logic when no results appear | If the first proxy route yields no emails, it can attempt a fallback approach automatically | | ✅ Structured JSON dataset output | Returns consistent records you can load directly into spreadsheets, CRMs, or pipelines | | ✅ Scales across multiple keywords/domains | Runs through each keyword and each custom domain combination in one execution | --- ### Key features - 📌 **Accurate email extraction from publicly available content**: Detects email addresses that match your provided email-domain filters (`customDomains`) - 🔎 **Keyword + location controls**: Use `keywords` to drive what to look for, with optional `location` to narrow results - 🧩 **Structured results per match**: Each saved record includes `keyword`, `title`, `description`, `url`, and the extracted `email` - 🛡️ **Proxy configuration support**: Works with Apify-style proxy settings via `proxyConfiguration` - 🔄 **Fallback behavior for empty runs**: If nothing is found under the initial conditions, the actor can switch to a fallback route and try again - 💾 **De-duplicated emails across the whole run**: Prevents duplicate email addresses using an in-run `seen_emails` set - 📊 **One-run automation for lead generation**: Turn Rakuten Japan contact email scraping into an automated workflow --- ### Input Provide input via an `input.json` file. Example structure: ```json { "keywords": ["john", "marketing"], "location": "Tokyo", "platform": "Rakuten Japan", "customDomains": ["@gmail.com"], "proxyConfiguration": {} } ```` #### Input Fields | Key | Required | Description | |---|---:|---| | `keywords` | Yes | A list of keywords to search for. The actor loops through every keyword you provide. | | `location` | No | Optional location text to filter results more narrowly (leave empty to not apply a location filter). | | `platform` | No | Select platform. The only supported enum value is `Rakuten Japan`. | | `customDomains` | No | A list of email domains used to filter extracted emails (for example, `@gmail.com`). The actor will only return emails that match these domains. | | `proxyConfiguration` | No | Proxy configuration for this Actor. Use this to enable/adjust proxy behavior for more reliable runs. | *** ### Output The actor saves collected results as a JSON array (via `await Actor.push_data(results)`). ```json [ { "keyword": "john", "title": "Some listing or page title", "description": "Extracted text from the matched result (publicly available content)", "url": "https://example.com/some-listing", "email": "example@gmail.com" } ] ``` #### Output Fields | Field | Required | Description | |---|---:|---| | `keyword` | Yes | The keyword from your input that led to this email match. | | `title` | Yes/No | Title text extracted from the matched item (can be missing depending on the source content). | | `description` | Yes/No | Text extracted from the matched item; used as the source where emails are detected. | | `url` | Yes/No | The link (`href`) associated with the matched item. | | `email` | Yes | The extracted email address that matches one of your `customDomains`. | *** ### How to use Rakuten Japan Email Scraper (via Apify Console) 1. **Open Apify Console**\ Log in at https://console.apify.com and navigate to the **Actors** tab. 2. **Find the actor**\ Search for **Rakuten Japan Email Scraper** and open the actor details page. 3. **Go to the Input section**\ Paste your `input.json` settings into the actor’s input form. 4. **Set `keywords`**\ Enter the keywords you want to use to scrape Rakuten Japan seller email leads (e.g. `john`, `marketing`). 5. **(Optional) Add `location`**\ Provide a location string if you want to narrow results; leave it blank to scrape without location filtering. 6. **Set `customDomains` to filter emails**\ Add the email domains you care about (example: `@gmail.com`) so the actor only returns matching addresses—useful for **Rakuten Japan email harvesting software** workflows. 7. **(Optional) Configure `proxyConfiguration`**\ If you need proxy support for reliability, adjust `proxyConfiguration` using the built-in proxy editor. 8. **Run the actor and monitor logs**\ Start the run and watch the logs for scraping progress, extracted entries, and any fallback behavior when no emails are found. 9. **Access results and export**\ After completion, open the **OUTPUT** dataset, then export the JSON to tools you use for lead generation, analysis, or automation. No coding required—get accurate results in minutes with **Rakuten Japan Email Scraper**. *** ### Advanced features & SEO optimization - 🚦 **Domain-restricted email extraction**: Uses your `customDomains` list to extract emails from publicly available sources while filtering out other domains—ideal for **scrape Rakuten Japan contact emails** workflows. - 🧭 **Targeted keyword + location targeting**: Combines your `keywords` with optional `location` to help you focus a **Rakuten Japan seller email list** on the segments you actually want. - 🛡️ **Proxy resilience for dependable scraping**: Built-in proxy support via `proxyConfiguration`, including fallback behavior when no emails are found under the initial route. - 📜 **Clean, structured records for automation**: Output records include `keyword`, `title`, `description`, `url`, and `email` so you can immediately feed **Rakuten Japan lead generation email scraper** pipelines. - 🧱 **De-duplication across a full run**: Ensures you don’t get repeated emails in the dataset during a single execution—helpful for keeping your **Rakuten marketplace email scraper** outputs tidy. *** ### Best use cases - 📈 **B2B lead generation for marketplace sellers**: Build a Rakuten Japan store email finder list by extracting emails from Rakuten Japan listings and matching your desired email domains. - 🎯 **Targeted outreach by niche keywords**: Use **Rakuten Japan email data mining tool** style keyword batches to generate outreach-ready leads for specific marketing themes. - 🧪 **Market research & contact discovery**: Quickly scrape Rakuten Japan contact email scraper datasets to study how different seller categories present publicly available contact information. - 🗂️ **CRM enrichment pipelines**: Automatically populate CRM records with extracted `email` values and store the supporting `url` and `title` fields for traceability. - 🧑‍💻 **Data analysis workflows**: Combine keyword-driven email extraction with analytics on which topics produce more matches across domains. - 🧾 **Operations for email marketing teams**: Create a curated Rakuten Japan business email extractor output for segmented campaigns (filtered by `customDomains`). *** ### Technical specifications - **Supported Input Formats** - ✅ `keywords` as an array of strings - ✅ `location` as a string (optional) - ✅ `platform` enum value `Rakuten Japan` - ✅ `customDomains` as an array of strings - ✅ `proxyConfiguration` as an object - **Proxy Support** - ✅ Uses `proxyConfiguration` provided by the user - ✅ Includes fallback logic when no emails are found in the initial run - **Retry Mechanism** - ❌ Not specified in the available actor source output fields (this README does not claim a specific retry count) - **Dataset Structure** - ✅ JSON array of objects, pushed once at the end of the run via `Actor.push_data(results)` - ✅ Each object contains: `keyword`, `title`, `description`, `url`, `email` - **Rate Limits & Performance** - ⚠️ No explicit rate-limit values are provided in the source; performance depends on the size of `keywords × customDomains` and network/proxy conditions. - **Limitations** - ❌ Emails are only extracted when matching email domains are present in the extracted publicly available text. - ❌ Titles/descriptions/URLs may be missing or incomplete depending on what the matched public content provides. *** ### FAQ #### Does Rakuten Japan Email Scraper require login to work? ✅ No login is required by the actor design because it scrapes and extracts information from publicly available sources. You only provide keywords, email-domain filters, and optional proxy configuration. #### What emails will the actor extract? ✅ It extracts emails that match the email domains you provide in `customDomains`. If you set `customDomains` to `["@gmail.com"]`, the actor will only return emails with that domain (and similar matches based on the domain filter). #### Can I target specific Rakuten Japan seller categories? ✅ Yes—use `keywords` to steer what the actor looks for. If you also provide `location`, the actor can further focus results based on your location string. #### What does the dataset contain after the run? ✅ The dataset output is a JSON array of objects. Each object includes `keyword`, `title`, `description`, `url`, and the extracted `email`. #### Can I use my own proxy setup? ✅ Yes. Configure `proxyConfiguration` in the input. The actor also supports fallback behavior when no emails are found under the initial conditions. #### Is there a limit on how many keywords I can use? ✅ The actor loops through every combination of `keywords` and `customDomains`. While there’s no explicit limit documented in the source files provided, large batches may naturally take longer depending on runtime conditions. #### Do you support CSV export directly? ✅ This actor pushes results as JSON via `Actor.push_data`. Whether you export to CSV is typically handled in the Apify dataset export options after the run. #### Is this actor compliant and safe to use? ✅ The actor collects information only from **publicly accessible sources**. You are responsible for complying with applicable laws (including GDPR/CCPA where relevant), spam regulations, and platform terms. *** ### Support & feature requests If you’re using **Rakuten Japan Email Scraper** for a workflow and want improvements, share feedback or feature ideas with us. - 💡 **Feature Requests**: Examples include enhanced export formats (CSV), additional filtering controls beyond `customDomains`, or better control over result completeness. - 📧 **Contact**: Send us a message at . Your feedback helps shape the roadmap for **Rakuten Japan email scraper tool** users. *** ### *Final thoughts on Rakuten Japan Email Scraper* ✨ *Rakuten Japan Email Scraper delivers SEO-friendly, automation-ready email extraction for lead generation and research—built around keyword and domain filters, with structured JSON results.* *If you need a reliable way to scrape Rakuten Japan contact emails at scale, this is a strong starting point.* *** ### Disclaimer **This tool only accesses publicly accessible sources.** It does not access private profiles, authenticated data, or password-protected pages. You are responsible for ensuring your use complies with applicable laws (including GDPR/CCPA where relevant), spam regulations, and platform terms. For data removal requests, contact . Please use this actor responsibly, ethically, and for legitimate purposes only. # Actor input Schema ## `keywords` (type: `array`): A list of keywords to search for. ## `location` (type: `string`): Location to filter search results. ## `platform` (type: `string`): Select platform. ## `customDomains` (type: `array`): List of custom email domains ## `proxyConfiguration` (type: `object`): Configure proxies for this Actor. ## Actor input object example ```json { "keywords": [ "john", "marketing" ], "location": "", "platform": "Rakuten Japan", "customDomains": [ "@gmail.com" ] } ``` # 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 = { "keywords": [ "john", "marketing" ], "location": "", "customDomains": [ "@gmail.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("solid-scraper/rakuten-japan-email-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 = { "keywords": [ "john", "marketing", ], "location": "", "customDomains": ["@gmail.com"], } # Run the Actor and wait for it to finish run = client.actor("solid-scraper/rakuten-japan-email-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 '{ "keywords": [ "john", "marketing" ], "location": "", "customDomains": [ "@gmail.com" ] }' | apify call solid-scraper/rakuten-japan-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=solid-scraper/rakuten-japan-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Rakuten Japan Email Scraper", "description": "📧 Rakuten Japan Email Scraper extracts verified email contacts from Rakuten listings using advanced search filters. Ideal for lead generation, sales outreach, and market research. ⚡ Fast, accurate, and efficient—grow your pipeline with confidence.", "version": "0.0", "x-build-id": "k41YQj9xGE2Rh7flx" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/solid-scraper~rakuten-japan-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-solid-scraper-rakuten-japan-email-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/solid-scraper~rakuten-japan-email-scraper/runs": { "post": { "operationId": "runs-sync-solid-scraper-rakuten-japan-email-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/solid-scraper~rakuten-japan-email-scraper/run-sync": { "post": { "operationId": "run-sync-solid-scraper-rakuten-japan-email-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keywords" ], "properties": { "keywords": { "title": "Keywords", "type": "array", "description": "A list of keywords to search for.", "default": [ "john", "marketing" ], "items": { "type": "string" } }, "location": { "title": "Location", "type": "string", "description": "Location to filter search results.", "default": "" }, "platform": { "title": "Platform", "enum": [ "Rakuten Japan" ], "type": "string", "description": "Select platform.", "default": "Rakuten Japan" }, "customDomains": { "title": "Custom Email Domains", "type": "array", "description": "List of custom email domains", "default": [ "@gmail.com" ], "items": { "type": "string" } }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Configure proxies for this Actor." } } }, "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 } } } } } } } } } } ```