# Kakaotalk Email Scraper Fast Advanced And Cheapest (`scraperoka/kakaotalk-email-scraper-fast-advanced-and-cheapest`) Actor 📩 Kakaotalk Email Scraper Fast, Advanced & Cheapest extracts Kakaotalk email contacts efficiently. 🚀 Perfect for B2B lead generation, outreach, and marketing research. 💡 Save time, scale campaigns, and boost conversions—fast & budget-friendly. - **URL**: https://apify.com/scraperoka/kakaotalk-email-scraper-fast-advanced-and-cheapest.md - **Developed by:** [Scraperoka](https://apify.com/scraperoka) (community) - **Categories:** Lead generation, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / 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 ### Kakaotalk Email Scraper - Fast, Advanced and Cheapest 🚀 Manually collecting email contacts from Kakaotalk content wastes hours and quickly falls out of date. **Kakaotalk Email Scraper - Fast, Advanced and Cheapest** finds email addresses using your chosen keywords and email-domain filters—built for marketers, recruiters, and growth teams who want thousands of leads in minutes. --- ### What You Get: Sample Output Here's a sample record from a single run: ```json { "network": "Kakaotalk.com", "keyword": "manager", "title": "No title", "description": "No data", "url": "http://www.example.com/profile/123", "email": "jane.doe@gmail.com" } ```` | Field | Type | What It Tells You | |---|---|---| | `network` | string | Confirms the source network label used for each lead record (`Kakaotalk.com`). | | `keyword` | string | Which keyword from your input produced this contact, so you can track what works. | | `title` | string | The title text associated with the lead record (when available). | | `description` | string | The extracted description text around the email (useful for context during validation). | | `url` | string | The page URL where the email was found—handy for quick verification. | | `email` | string | The extracted email address matching your allowed domains. | | `error_message` | (not present in dataset schema) | Failure details are logged internally; the dataset output shown above is the per-lead row you can export. | | `status` | (not present in dataset schema) | There is no `status` field pushed with each row based on the dataset transformation. | | `max_emails` | (input only) | Your requested limit that controls when the run stops collecting new unique emails. | | `location` | (input only) | Optional location filter to help narrow results when you want region-specific lead lists. | Export your dataset as JSON, CSV, or Excel — straight from the Apify dashboard. *** ### Why Kakaotalk Email Scraper - Fast, Advanced and Cheapest? There are a lot of ways to pull contact data from public web sources—here's what sets **Kakaotalk Email Scraper - Fast, Advanced and Cheapest** apart. #### Keyword-and-domain targeting that stays flexible You provide `keywords` and `customDomains` to guide what emails are worth collecting. That means you can tune a **KakaoTalk email scraper** for Gmail-heavy B2C lists, or switch domains for B2B workflows. #### Incremental, deduplicated output for real lead lists The actor keeps track of already-seen emails and only pushes new unique records to your dataset. This helps you build a **KakaoTalk leads email list** without constantly re-downloading duplicates. #### Resilience designed for longer runs For more complete coverage, the run includes logic to keep going across pages and can stop early when it detects no new results for consecutive pages. This is especially useful for **bulk email extraction** attempts where results are uneven. #### Cost and limit control for predictable runs You can cap results using `maxEmails`, which helps control scraping time and costs. This is one reason it positions as a **cheapest KakaoTalk email scraper** option for many teams—because you can run smaller tests before scaling. *** ### Configuring Your Run Drop this into your `input.json` to get started: ```json { "keywords": ["manager", "founder"], "location": "Seoul", "customDomains": ["@gmail.com", "@yahoo.com"], "maxEmails": 50 } ``` | Parameter | Required | What It Does | |---|---|---| | `keywords` | ✅ | A list of keywords used to find relevant leads and associated emails. | | `location` | ⬜ | Optional location text to filter results toward a specific region. | | `customDomains` | ⬜ | Allowed email domains (for example `@gmail.com`, `@yahoo.com`) to focus extraction and improve relevance. | | `maxEmails` | ⬜ | Stops the run after collecting up to this many unique emails (your limit may not always be fully reached). | *** ### Core Capabilities #### Keyword flexibility for better lead discovery Provide multiple `keywords` to broaden coverage and improve hit rates. This makes the **KakaoTalk email extractor** suitable for building outreach lists across roles like founder/manager, not just one narrow term. #### Email-domain filtering for cleaner lists Use `customDomains` to restrict which email addresses get collected. This is an effective way to turn a **KakaoTalk contact email finder** into a controlled “emails only from my target providers” pipeline. #### Built-in stop conditions to avoid wasted time The run monitors when pages stop yielding new emails and can stop after consecutive pages with no new results. This helps keep **fast KakaoTalk email scraper** runs from dragging on when the pool is exhausted. #### Incremental dataset writing for export-ready results Each extracted lead row is pushed to your dataset as it’s found. You can export immediately after completion—ideal for **KakaoTalk email list builder** workflows where speed matters. #### Deduplication to keep your CRM import clean The actor maintains a set of seen emails and avoids pushing duplicates. That means your exported **KakaoTalk email harvesting** output is more usable for downstream dedup and verification. Overall, **Kakaotalk Email Scraper - Fast, Advanced and Cheapest** helps you go from search inputs to an export-ready dataset quickly and with fewer wasted rows. *** ### Who Gets the Most Out of This Here's how different teams put **Kakaotalk Email Scraper - Fast, Advanced and Cheapest** to work: **Lead generation managers** — Use targeted `keywords` plus `customDomains` to produce a tighter KakaoTalk marketing email scraper output, then import the exported dataset into a CRM for faster outreach cycles. **Recruiters and talent sourcers** — Build a candidate outreach list by collecting contact emails that match your desired providers/domains, saving hours otherwise spent manually finding contact details. **Growth teams and agencies** — Run experiments by changing keywords and domains between iterations, then compare which keyword-domain combinations yield more unique emails for your KakaoTalk email list builder. **Data analysts and researchers** — Use the dataset fields (`keyword`, `email`, `url`, and the extracted `description`) to study relationship patterns between search inputs and contact availability, creating reproducible lead collection runs. **Automation specialists (technical users)** — Trigger the actor via Apify tooling and pipe the dataset export into your pipeline for regular lead refreshes, turning a **KakaoTalk database email extraction** task into an automated data supply. *** ### Step-by-Step: How to Use It No coding needed. Here's how to run Kakaotalk Email Scraper - Fast, Advanced and Cheapest from start to finish: 1. **Open the actor on Apify** — visit the actor page on [console.apify.com](https://console.apify.com) and open **Kakaotalk Email Scraper - Fast, Advanced and Cheapest**. 2. **Enter your inputs** — fill in `keywords` (required). Optionally set `location`, `customDomains`, and `maxEmails`. 3. **Configure proxy settings** — keep the default proxy behavior for reliability, especially for larger runs. 4. **Hit Run and watch the live log** — monitor progress and see when the actor finds and pushes new email records. 5. **View results in the dataset tab** — your leads are pushed incrementally with fields like `keyword`, `url`, and `email`. 6. **Export as JSON, CSV, or Excel** — download your dataset from the Apify dashboard when the run completes. The whole process takes under 5 minutes to set up. *** ### Integrations & Export Options Once your data is collected, **Kakaotalk Email Scraper - Fast, Advanced and Cheapest** plugs directly into your existing workflow. You can export your dataset from the Apify dashboard in common formats like **JSON**, **CSV**, and **Excel**. If you need structured lead ingestion, that’s typically enough to import directly into CRMs and spreadsheets. For automation, you can use Apify’s **API access** to retrieve run results programmatically, or connect the actor to tools via **Zapier / Make**-style workflows for no-code routing. You can also schedule runs so your **KakaoTalk email scraper** refreshes your **KakaoTalk leads email list** automatically on a cadence. For deeper details on API usage and integrations, see Apify documentation at https://apify.com/docs/api. *** ### Pricing & Free Trial Kakaotalk Email Scraper - Fast, Advanced and Cheapest runs on the Apify platform, which offers a **free tier** — no credit card required to get started. The free tier is meant for testing smaller runs, and you can scale up based on your needs. For exact billing and plan limits, check the Apify pricing page on https://apify.com. Start small with `maxEmails`, then increase when you see strong **KakaoTalk email extractor** results. Start for free at [apify.com](https://apify.com) and scale when you're ready. *** ### Reliability & Performance | What We Handle | How | |---|---| | Run length variability | Stops when no new emails are found for consecutive pages and when your `maxEmails` limit is reached. | | Duplicate contacts | Avoids pushing already-seen emails to keep your dataset cleaner. | | Progress recovery | Saves progress in a key-value store so runs can resume. | | Large target lists | Designed to collect results across many keyword and domain combinations. | Limitations: The actor only extracts emails from **publicly available sources** and doesn’t access login-gated or private content. Results depend on what emails are actually published for your chosen keywords and domains. For enterprise-scale runs, contact us to discuss custom configurations. *** ### Frequently Asked Questions #### Is there a free plan or trial? Yes, Apify offers a free tier for getting started. For best results, run a small test using `maxEmails` first, then increase based on how many unique emails you get. #### Do I need to log in to Kakaotalk to use this? No. This actor extracts email addresses from publicly available data, so you don’t need a Kakaotalk account or any login credentials. #### How accurate is the data? The actor extracts email addresses that match your provided `customDomains` and are found in the extracted text. Accuracy depends on what the source content actually publishes, since it does not guess or invent emails. #### How many results can I get per run? You control this with `maxEmails`, which is the maximum number of unique emails the scraper will collect. The run may stop before reaching your target if results diminish. #### How often is the data updated / how fresh is it? Freshness depends on when you run the actor. Since it collects from publicly available sources during the run, running it again on a schedule is the simplest way to keep your **KakaoTalk email list** up to date. #### Is this legal? Does it comply with GDPR / CCPA? This depends on how you use the exported data. The actor works with **publicly available data**, but you’re responsible for complying with GDPR, CCPA, applicable platform Terms of Service, and local regulations for your specific use case. #### Can I export results to Google Sheets or Excel? Yes. You can export your dataset directly from the Apify dashboard in formats like JSON and CSV, which you can import into Google Sheets or Excel. #### Can I run this on a schedule automatically? Yes. You can schedule actor runs on Apify so your lead list refreshes automatically at a cadence you choose. #### Can I access this via API? Yes. You can pull results programmatically using the Apify API. See https://apify.com/docs/api for details. #### What happens if the actor hits an error? If an error occurs during pushing or extraction, it is logged, and the actor continues according to its stopping and resilience logic. Since progress is saved, you can usually resume without starting from zero. *** ### Need Help or Have a Request? Got a question about Kakaotalk Email Scraper - Fast, Advanced and Cheapest or want a new feature added? Reach out at — we actively maintain this actor based on user feedback. If you want improvements like webhook notifications on completion or additional export-friendly enhancements, tell us what your workflow needs. *** ### Disclaimer & Responsible Use *Kakaotalk Email Scraper - Fast, Advanced and Cheapest is the fastest, most reliable way to build email lead lists from publicly available sources—start your free run today.* **publicly available data** is used as the source for extracted emails. The actor does not access private accounts, login-gated content, or password-protected pages. You’re responsible for ensuring your usage complies with GDPR, CCPA, platform ToS, and any applicable local regulations. For data removal requests, contact . Use responsibly, ethically, and only for lawful purposes. # Actor input Schema ## `keywords` (type: `array`): A list of keywords or queries to search for. ## `location` (type: `string`): Location to filter search results. ## `customDomains` (type: `array`): List of custom email domains ## `maxEmails` (type: `integer`): Maximum number of emails to collect. The scraper will stop once this limit is reached. Setting a higher limit allows for more potential results but doesn't guarantee reaching that number. This helps save costs by controlling scraping time. ## Actor input object example ```json { "keywords": [ "manager", "founder" ], "location": "", "customDomains": [ "@gmail.com", "@yahoo.com" ], "maxEmails": 20 } ``` # 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": [ "manager", "founder" ], "location": "", "customDomains": [ "@gmail.com", "@yahoo.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scraperoka/kakaotalk-email-scraper-fast-advanced-and-cheapest").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": [ "manager", "founder", ], "location": "", "customDomains": [ "@gmail.com", "@yahoo.com", ], } # Run the Actor and wait for it to finish run = client.actor("scraperoka/kakaotalk-email-scraper-fast-advanced-and-cheapest").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": [ "manager", "founder" ], "location": "", "customDomains": [ "@gmail.com", "@yahoo.com" ] }' | apify call scraperoka/kakaotalk-email-scraper-fast-advanced-and-cheapest --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scraperoka/kakaotalk-email-scraper-fast-advanced-and-cheapest", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Kakaotalk Email Scraper Fast Advanced And Cheapest", "description": "📩 Kakaotalk Email Scraper Fast, Advanced & Cheapest extracts Kakaotalk email contacts efficiently. 🚀 Perfect for B2B lead generation, outreach, and marketing research. 💡 Save time, scale campaigns, and boost conversions—fast & budget-friendly.", "version": "1.0", "x-build-id": "0TcEXGFK3uTA5nteg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scraperoka~kakaotalk-email-scraper-fast-advanced-and-cheapest/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scraperoka-kakaotalk-email-scraper-fast-advanced-and-cheapest", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scraperoka~kakaotalk-email-scraper-fast-advanced-and-cheapest/runs": { "post": { "operationId": "runs-sync-scraperoka-kakaotalk-email-scraper-fast-advanced-and-cheapest", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scraperoka~kakaotalk-email-scraper-fast-advanced-and-cheapest/run-sync": { "post": { "operationId": "run-sync-scraperoka-kakaotalk-email-scraper-fast-advanced-and-cheapest", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 or Queries", "type": "array", "description": "A list of keywords or queries to search for.", "default": [ "manager", "founder" ], "items": { "type": "string" } }, "location": { "title": "Location", "type": "string", "description": "Location to filter search results.", "default": "" }, "customDomains": { "title": "Enter Custom Email Domains (e.g. @gmail.com, @yahoo.com)", "type": "array", "description": "List of custom email domains", "default": [ "@gmail.com", "@yahoo.com" ], "items": { "type": "string" } }, "maxEmails": { "title": "Enter Max Emails", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of emails to collect. The scraper will stop once this limit is reached. Setting a higher limit allows for more potential results but doesn't guarantee reaching that number. This helps save costs by controlling scraping time.", "default": 20 } } }, "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 } } } } } } } } } } ```