# Lead Enricher & ICP Scorer (`gangary/lead-enricher-icp`) Actor Recebe uma lista crua de leads e devolve normalizada, deduplicada, com email e site verificados, telefone BR em E.164 e score ICP 0-100 configuravel. - **URL**: https://apify.com/gangary/lead-enricher-icp.md - **Developed by:** [Gangary](https://apify.com/gangary) (community) - **Categories:** Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $20.00 / 1,000 per enriched leads 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Lead Enricher & ICP Scorer Send a raw list of leads — get it back **clean, verified, deduplicated and scored**. Built for teams that already have leads (scraping, spreadsheets, CRM exports, event lists) and need to know **which ones are worth contacting** — without scraping anything, just qualifying what you already have. **No scraping. No login. No API keys.** The Actor only processes the data you send it. ### What it does with every lead 1. **Normalizes the company name** — strips legal suffixes (LTDA, ME, S.A., Inc.), fixes casing 2. **Verifies the email domain** — real DNS MX lookup: does this domain actually receive email? 3. **Checks the website** — is it alive and responding? 4. **Formats the phone number** — Brazilian numbers normalized to E.164 with the 9th digit applied 5. **Deduplicates** — repeated email/phone/company across the list gets flagged (and not charged) 6. **Scores 0–100 against your ICP** — configurable weights, so the score reflects *your* ideal customer ### Input example ```json { "leads": [ { "company": "Empresa X LTDA", "email": "contato@empresax.com.br", "site": "empresax.com.br", "phone": "(11) 98765-4321" }, { "company": "Padaria do Zé ME", "phone": "11 91234-5678" } ] } ```` Every field is optional per lead — the Actor works with whatever you have and never crashes on messy input (numbers where strings should be, missing fields, garbage rows). ### Output example ```json { "input": { "company": "Empresa X LTDA", "email": "contato@empresax.com.br", "site": "empresax.com.br", "phone": "(11) 98765-4321" }, "company_normalized": "Empresa X", "email": { "value": "contato@empresax.com.br", "status": "valid", "domain": "empresax.com.br" }, "site": { "value": "https://empresax.com.br/", "alive": true, "status": 200 }, "phone": { "value": "(11) 98765-4321", "e164": "+5511987654321", "valid": true, "type": "mobile" }, "signals": { "has_corp_email": true, "has_live_site": true, "has_valid_phone": true, "size_signal": 0 }, "score_icp": 85, "is_duplicate": false } ``` ### Output fields | Field | Type | Description | |---|---|---| | `company_normalized` | string | null | Clean company name (legal suffixes removed, title case). | | `email.status` | `valid` | `invalid` | `unknown` | Domain-level verification via MX records. `unknown` = DNS unavailable (neither confirms nor denies). | | `site.alive` | boolean | Website responded with 2xx. | | `phone.e164` | string | null | Brazilian phone in E.164 format, 9th digit applied. | | `score_icp` | number | 0–100. Weights configurable via input. | | `is_duplicate` | boolean | Flagged when the lead repeats another lead's email/phone/company. | ### Use cases - **Clean a scraped list before outreach** — drop dead domains and broken numbers before your SDRs waste time - **Score inbound leads against your ICP** — route the 80+ to sales, nurture the rest - **Dedupe merged lists** — combine sources without contacting the same company twice - **Refresh an old CRM export** — sites die and domains lapse; re-verify before a reactivation campaign ### Pricing (Pay per event) | Event | When | Price | |---|---|---| | `actor-start` | once per run | $0.01 | | `lead-enriched` | once per **unique** lead enriched | $0.02 | **Duplicates are flagged but never charged.** A 1,000-lead list with 100 duplicates costs $0.01 + 900 × $0.02 = **$18.01**. ### Is this compliant? Yes — the Actor **scrapes nothing**. It only processes data **you** provide: normalizes text, performs a public DNS MX lookup, sends one HTTP request to check the site is alive, and computes a score. No logins, no third-party data collection. ### Limitations - Email verification is **domain-level** (does the domain receive mail?), not mailbox-level — confirming an individual inbox would require an SMTP probe, which is outside this version. `valid` means the domain has working MX records. - Phone normalization targets **Brazilian numbers** (E.164 `+55`). Other countries pass through unmodified. - `size_signal` (company size) is not populated in this version. ### From the same maker - **[CNPJ Lookup — Brazilian Company Registry Data](https://apify.com/gangary/cnpj-lookup)** — official registry data for Brazilian companies by CNPJ: legal name, status, activity, partners, capital. Pair them: CNPJ Lookup for the official data, this Actor to qualify and score. # Actor input Schema ## `leads` (type: `array`): Lista de leads a enriquecer. Campos aceitos por item: name, company, email, site, phone, uf. ## `weights` (type: `object`): Calibra o peso de cada sinal no score. Chaves: corp\_email, live\_site, valid\_phone, size. Default: 35/30/20/15. ## Actor input object example ```json { "leads": [ { "company": "Empresa X LTDA", "email": "contato@empresax.com.br", "site": "empresax.com.br", "phone": "(11) 98765-4321" } ], "weights": {} } ``` # 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 = { "leads": [ { "company": "Empresa X LTDA", "email": "contato@empresax.com.br", "site": "empresax.com.br", "phone": "(11) 98765-4321" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("gangary/lead-enricher-icp").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 = { "leads": [{ "company": "Empresa X LTDA", "email": "contato@empresax.com.br", "site": "empresax.com.br", "phone": "(11) 98765-4321", }] } # Run the Actor and wait for it to finish run = client.actor("gangary/lead-enricher-icp").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 '{ "leads": [ { "company": "Empresa X LTDA", "email": "contato@empresax.com.br", "site": "empresax.com.br", "phone": "(11) 98765-4321" } ] }' | apify call gangary/lead-enricher-icp --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gangary/lead-enricher-icp", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Lead Enricher & ICP Scorer", "description": "Recebe uma lista crua de leads e devolve normalizada, deduplicada, com email e site verificados, telefone BR em E.164 e score ICP 0-100 configuravel.", "version": "0.1", "x-build-id": "ROPJo83klQehiQZkN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gangary~lead-enricher-icp/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gangary-lead-enricher-icp", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/gangary~lead-enricher-icp/runs": { "post": { "operationId": "runs-sync-gangary-lead-enricher-icp", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/gangary~lead-enricher-icp/run-sync": { "post": { "operationId": "run-sync-gangary-lead-enricher-icp", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "leads" ], "properties": { "leads": { "title": "Leads (lista crua)", "type": "array", "description": "Lista de leads a enriquecer. Campos aceitos por item: name, company, email, site, phone, uf." }, "weights": { "title": "Pesos do score ICP (opcional)", "type": "object", "description": "Calibra o peso de cada sinal no score. Chaves: corp_email, live_site, valid_phone, size. Default: 35/30/20/15.", "default": {} } } }, "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 } } } } } } } } } } ```