# Google SERP Lead Extractor (`avinashchby/google-serp-lead-extractor`) Actor Search Google and extract business leads from search results. Discovers domains, crawls websites for contacts, and enriches with emails, phones, and social links. Perfect for building targeted prospect lists from any search query. - **URL**: https://apify.com/avinashchby/google-serp-lead-extractor.md - **Developed by:** [Avinash](https://apify.com/avinashchby) (community) - **Categories:** Lead generation, SEO tools, Marketing - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Google SERP Lead Extractor Turn any Google search into a lead list. Extracts domains from search results, crawls websites for contacts, and enriches with emails, phones, and social links. ### What it does 1. **Runs Google searches** — executes any search query and scrapes the results page 2. **Extracts result domains** — gets title, URL, description, and rank for each result 3. **Crawls for contacts** — visits result websites to discover emails, phones, and social links 4. **Scores leads** — 0-100 score based on contact richness 5. **Deduplicates by domain** — skips duplicate domains across results ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `searchQueries` | array | `["marketing agencies New York"]` | Google search queries to run | | `maxResultsPerQuery` | integer | `10` | Max search results per query (1-100) | | `crawlDepth` | integer | `1` | Pages to crawl per domain for contacts (0-5) | | `includeEmail` | boolean | `true` | Crawl websites to find email addresses | | `outputFormat` | string | `json` | `json`, `csv`, `hubspot`, `apollo`, `salesforce` | ### Output Example ```json { "searchQuery": "marketing agencies New York", "rank": 1, "title": "Top Marketing Agencies in NYC", "url": "https://example-agency.com", "domain": "example-agency.com", "description": "Award-winning marketing agency...", "emails": ["hello@example-agency.com"], "phones": ["(212) 555-0199"], "socialLinks": { "linkedin": "https://linkedin.com/company/example-agency" }, "leadScore": 80, "scrapedAt": "2026-05-19T08:00:00.000Z" } ```` ### Lead Score Formula | Factor | Points | |--------|--------| | Has email | 40 | | Has phone | 20 | | Social links | 5 each (max 20) | ### Limits - **Google anti-bot** — aggressive scraping may trigger CAPTCHA; use reasonable maxResults - **Website crawl scope** — only crawls same-origin pages within crawlDepth limit - **Blocked domains** — skips major platforms (google.com, youtube.com, facebook.com, etc.) ### Pricing - **Free tier**: 10 results per run - **Pay-per-result**: $0.005 per result processed - **Subscription**: $59/month for unlimited runs ### Support Found a bug or need a custom feature? Open an issue or email support. # Actor input Schema ## `searchQueries` (type: `array`): Google search queries to run ## `maxResultsPerQuery` (type: `integer`): Maximum search results to process per query ## `crawlDepth` (type: `integer`): How many pages to crawl per domain for contacts (0 = don't crawl) ## `includeEmail` (type: `boolean`): Crawl websites to find email addresses ## `outputFormat` (type: `string`): Output format for extracted lead data ## Actor input object example ```json { "searchQueries": [ "marketing agencies New York", "software companies San Francisco" ], "maxResultsPerQuery": 10, "crawlDepth": 1, "includeEmail": true, "outputFormat": "json" } ``` # Actor output Schema ## `results` (type: `string`): All extracted leads. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchQueries": [ "marketing agencies New York", "software companies San Francisco" ] }; // Run the Actor and wait for it to finish const run = await client.actor("avinashchby/google-serp-lead-extractor").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "searchQueries": [ "marketing agencies New York", "software companies San Francisco", ] } # Run the Actor and wait for it to finish run = client.actor("avinashchby/google-serp-lead-extractor").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 '{ "searchQueries": [ "marketing agencies New York", "software companies San Francisco" ] }' | apify call avinashchby/google-serp-lead-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=avinashchby/google-serp-lead-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google SERP Lead Extractor", "description": "Search Google and extract business leads from search results. Discovers domains, crawls websites for contacts, and enriches with emails, phones, and social links. Perfect for building targeted prospect lists from any search query.", "version": "1.0", "x-build-id": "WYVcrc7Av1RmTUlng" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/avinashchby~google-serp-lead-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-avinashchby-google-serp-lead-extractor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/avinashchby~google-serp-lead-extractor/runs": { "post": { "operationId": "runs-sync-avinashchby-google-serp-lead-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/avinashchby~google-serp-lead-extractor/run-sync": { "post": { "operationId": "run-sync-avinashchby-google-serp-lead-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "searchQueries": { "title": "Search Queries", "type": "array", "description": "Google search queries to run", "items": { "type": "string" } }, "maxResultsPerQuery": { "title": "Max Results Per Query", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum search results to process per query", "default": 10 }, "crawlDepth": { "title": "Website Crawl Depth", "minimum": 0, "maximum": 5, "type": "integer", "description": "How many pages to crawl per domain for contacts (0 = don't crawl)", "default": 1 }, "includeEmail": { "title": "Extract Emails", "type": "boolean", "description": "Crawl websites to find email addresses", "default": true }, "outputFormat": { "title": "Export Format", "enum": [ "json", "csv", "hubspot", "apollo", "salesforce" ], "type": "string", "description": "Output format for extracted lead data", "default": "json" } } }, "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 } } } } } } } } } } ```