# Spain B2B Leads: Google Maps + BORME (`agoradelmediterraneo/spain-b2b-leads`) Actor Scrapes Spanish businesses from Google Maps and enriches them with BORME registry data (CIF, legal form, CNAE code). Pay per lead — only pay for what you extract. - **URL**: https://apify.com/agoradelmediterraneo/spain-b2b-leads.md - **Developed by:** [Agora](https://apify.com/agoradelmediterraneo) (community) - **Categories:** Lead generation - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 b2b 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 ## Spain B2B Leads: Google Maps + BORME Enrichment Extract verified Spanish business leads from **Google Maps** and automatically enrich them with official **Registro Mercantil (BORME)** data: CIF, legal name, CNAE code, and company type. **Pay per lead** — $0.003/result. Only pay for what you extract. ### What it does 1. **Searches Google Maps** for businesses matching your keyword + location using a real browser (Playwright) 2. **Extracts full contact info** per lead: name, address, phone, website, rating, reviews count 3. **Enriches each lead** with BORME registry data via fuzzy matching against openmercantil.es 4. **Sorts output**: BORME-matched leads first, then by rating and data completeness ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `keyword` | string | `"abogados"` | Business type (e.g. `"fontaneros"`, `"dentistas"`, `"gestorías"`, `"arquitectos"`) | | `location` | string | `"Madrid"` | City or region in Spain (e.g. `"Barcelona"`, `"Sevilla"`, `"País Vasco"`) | | `maxResults` | integer | `20` | Max leads to return (1–100). Actor processes up to 2× candidates internally to maximize BORME match rate. | | `onlyMatched` | boolean | `false` | If `true`, only return leads confirmed in the Registro Mercantil (CIF verified) | | `extractEmails` | boolean | `false` | If `true`, visits each business website and extracts contact email addresses (adds `emails` field) | | `enrichmentEndpoint` | string | `""` | Optional: URL of a custom eu-company-enrichment webhook as fallback | | `enrichmentSecret` | string | `""` | Optional: webhook secret for the enrichment endpoint | ### Output Each item in the dataset: ```json { "name": "Martínez & Caballero Abogados", "address": "Pça. Tetuan, 40, Eixample, 08010 Barcelona, España", "phone": "+34628379016", "website": "http://www.martinezcaballeroabogados.com/", "rating": 4.9, "reviews": 888, "category": "abogados", "google_maps_url": "https://www.google.com/maps/place/...", "borme_matched": false, "match_confidence": 0, "cif": null, "razon_social": null, "forma_juridica": null, "cnae": null, "capital_social": null, "administradores": [], "borme_last_entry": null } ```` When BORME data is found: ```json { "name": "Edenred España", "phone": "+34913001200", "website": "https://edenred.es", "rating": 4.2, "reviews": 156, "borme_matched": true, "match_confidence": 0.86, "cif": "A78881190", "razon_social": "EDENRED ESPAÑA SA", "forma_juridica": "SA", "cnae": "7022", "capital_social": "3000000", "borme_last_entry": "2026-02-09" } ``` ### BORME match rate Match rate depends on business type and size: - **Large/medium companies** (tech, consulting, energy, finance): ~30–60% - **Professional offices** (lawyers, architects): ~5–20% (commercial name often differs from legal entity) - **Retail/hospitality**: ~10–25% When `borme_matched: false`, Google Maps data (phone, website, address, rating) is still returned and fully usable for prospecting. ### Use cases - Lead generation for B2B sales teams targeting Spanish SMEs - Building prospect lists by sector and geography - Verifying business existence via official Registro Mercantil - Market research and competitor mapping - CRM enrichment with CIF and CNAE codes ### Data sources - **Business listings**: Google Maps via Playwright browser automation - **BORME enrichment**: [openmercantil.es](https://openmercantil.es) public API — official data from the Boletín Oficial del Registro Mercantil - Attribution: "Basado en datos de la Agencia Estatal Boletín Oficial del Estado." ### Notes - Google Maps results are geo-ranked — highest-rated and most popular businesses appear first - The actor processes up to `maxResults × 2` candidates to maximize BORME match rate, then returns the top `maxResults` sorted by match quality - For high-volume extraction (500+ leads), run multiple times with different keywords or locations # Actor input Schema ## `keyword` (type: `string`): Type of business to search (e.g. 'abogados', 'clínicas dentales', 'fontaneros') ## `location` (type: `string`): City or region in Spain (e.g. 'Madrid', 'Barcelona', 'Cataluña') ## `maxResults` (type: `integer`): Maximum number of business leads to extract (1-100) ## `onlyMatched` (type: `boolean`): If true, only return leads with a confirmed match in the Registro Mercantil (BORME) ## `extractEmails` (type: `boolean`): If true, visits each business website and extracts contact email addresses. Slower but adds email field to every lead with a website. ## `enrichmentEndpoint` (type: `string`): URL of the eu-company-enrichment webhook (leave blank to use OpenCorporates fallback) ## `enrichmentSecret` (type: `string`): x-rapidapi-proxy-secret header value for the enrichment webhook ## Actor input object example ```json { "keyword": "abogados", "location": "Madrid", "maxResults": 20, "onlyMatched": false, "extractEmails": false, "enrichmentEndpoint": "" } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("agoradelmediterraneo/spain-b2b-leads").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 = {} # Run the Actor and wait for it to finish run = client.actor("agoradelmediterraneo/spain-b2b-leads").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 '{}' | apify call agoradelmediterraneo/spain-b2b-leads --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=agoradelmediterraneo/spain-b2b-leads", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Spain B2B Leads: Google Maps + BORME", "description": "Scrapes Spanish businesses from Google Maps and enriches them with BORME registry data (CIF, legal form, CNAE code). Pay per lead — only pay for what you extract.", "version": "1.0", "x-build-id": "Q5Wph2M60p7Y6i9vP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/agoradelmediterraneo~spain-b2b-leads/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-agoradelmediterraneo-spain-b2b-leads", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/agoradelmediterraneo~spain-b2b-leads/runs": { "post": { "operationId": "runs-sync-agoradelmediterraneo-spain-b2b-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/agoradelmediterraneo~spain-b2b-leads/run-sync": { "post": { "operationId": "run-sync-agoradelmediterraneo-spain-b2b-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keyword", "location" ], "properties": { "keyword": { "title": "Business keyword", "type": "string", "description": "Type of business to search (e.g. 'abogados', 'clínicas dentales', 'fontaneros')" }, "location": { "title": "Location", "type": "string", "description": "City or region in Spain (e.g. 'Madrid', 'Barcelona', 'Cataluña')" }, "maxResults": { "title": "Maximum results", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of business leads to extract (1-100)", "default": 20 }, "onlyMatched": { "title": "Only BORME-matched leads", "type": "boolean", "description": "If true, only return leads with a confirmed match in the Registro Mercantil (BORME)", "default": false }, "extractEmails": { "title": "Extract emails from websites", "type": "boolean", "description": "If true, visits each business website and extracts contact email addresses. Slower but adds email field to every lead with a website.", "default": false }, "enrichmentEndpoint": { "title": "BORME enrichment endpoint", "type": "string", "description": "URL of the eu-company-enrichment webhook (leave blank to use OpenCorporates fallback)", "default": "" }, "enrichmentSecret": { "title": "Enrichment webhook secret", "type": "string", "description": "x-rapidapi-proxy-secret header value for the enrichment webhook" } } }, "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 } } } } } } } } } } ```