# Google Ads Transparency Scraper & Lead Generator (`intelscrape/google-ads-lead-generator`) Actor Scrape the Google Ads Transparency Center for active ad creatives. Automatically extract destination URLs, verified emails, and phone numbers from landing pages. - **URL**: https://apify.com/intelscrape/google-ads-lead-generator.md - **Developed by:** [IntelScrape](https://apify.com/intelscrape) (community) - **Categories:** AI, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $50.00 / 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 ## Google Ads Transparency Scraper & Lead Generator Scrape the **Google Ads Transparency Center** for active ad creatives and turn advertisers into B2B leads. This Apify actor extracts each advertiser's destination/landing-page URLs and then mines those pages for **verified emails, phone numbers, and social profiles** — ready to import into your CRM. ### What it does - Pulls **active ad creatives** for any advertiser from the Google Ads Transparency Center - Follows each ad to its **landing page** and extracts contact data (email, phone, socials) - Returns the full advertiser profile + every currently-running creative - Outputs clean **JSON** for direct CRM / outreach import ### Features - Handles Google Ads rate-limits and anti-bot challenges - Deep landing-page contact extraction (not just the ad) - Verified-email filtering to cut bounces - Works by advertiser ID, advertiser URL, or search keyword ### Output fields | Field | Description | |-------|-------------| | `advertiserName` | The advertiser running the ads | | `creativeUrl` | Link to the ad creative in the Transparency Center | | `landingPageUrl` | Destination URL of the ad | | `emails` | Verified email addresses found on the landing page | | `phones` | Phone numbers found on the landing page | | `socialProfiles` | Linked social accounts | ### Input Provide an advertiser ID/URL from the Google Ads Transparency Center, or a search keyword. See the **Input** tab for all options. ### Pricing Pay-per-result — **from $50.00 / 1,000 results**. You only pay for leads returned. ### Use cases - **Marketing agencies** pitching better creative to businesses already spending on ads - Finding advertisers with **high ad spend but weak landing pages** - Building **competitor ad + contact** lists for outreach ### Support Maintained by IntelScrape. Open an issue on the actor's **Issues** tab for help. # Actor input Schema ## `searchQuery` (type: `string`): Example: 'Roofing Contractor' or 'example.com' ## `region` (type: `string`): The country to search in (e.g., 'US', 'GB', 'CA', 'AU', 'Anywhere'). ## `maxAds` (type: `integer`): Limit the total number of ads extracted. ## `enrichContactInfo` (type: `boolean`): Visit the advertiser's website to extract contact information. ## `verifyEmails` (type: `boolean`): Perform DNS MX record checks to ensure extracted emails are capable of receiving mail. ## `extractSocials` (type: `boolean`): Hunt for LinkedIn, Twitter, Facebook, and Instagram links on the advertiser's landing page. ## `webhookUrl` (type: `string`): Automatically POST the fully enriched leads array to this URL when the run finishes. ## Actor input object example ```json { "searchQuery": "Plumbing Contractor", "region": "US", "maxAds": 100, "enrichContactInfo": true, "verifyEmails": false } ```` # Actor output Schema ## `searchQuery` (type: `string`): The search term used ## `advertiser` (type: `string`): The verified advertiser name ## `adUrl` (type: `string`): The URL to the transparency ad creative ## `destinationUrl` (type: `string`): The website landing page URL ## `emails` (type: `string`): Extracted email addresses ## `phones` (type: `string`): Extracted phone numbers ## `error` (type: `string`): Error message if failed # 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 = { "searchQuery": "Plumbing Contractor" }; // Run the Actor and wait for it to finish const run = await client.actor("intelscrape/google-ads-lead-generator").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 = { "searchQuery": "Plumbing Contractor" } # Run the Actor and wait for it to finish run = client.actor("intelscrape/google-ads-lead-generator").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 '{ "searchQuery": "Plumbing Contractor" }' | apify call intelscrape/google-ads-lead-generator --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=intelscrape/google-ads-lead-generator", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Ads Transparency Scraper & Lead Generator", "description": "Scrape the Google Ads Transparency Center for active ad creatives. Automatically extract destination URLs, verified emails, and phone numbers from landing pages.", "version": "1.1", "x-build-id": "6grkxLEhk0FHFXILW" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/intelscrape~google-ads-lead-generator/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-intelscrape-google-ads-lead-generator", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/intelscrape~google-ads-lead-generator/runs": { "post": { "operationId": "runs-sync-intelscrape-google-ads-lead-generator", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/intelscrape~google-ads-lead-generator/run-sync": { "post": { "operationId": "run-sync-intelscrape-google-ads-lead-generator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchQuery" ], "properties": { "searchQuery": { "title": "Search Query (Advertiser, Domain, or Keyword)", "type": "string", "description": "Example: 'Roofing Contractor' or 'example.com'", "default": "Plumbing Contractor" }, "region": { "title": "Target Region", "enum": [ "Anywhere", "US", "GB", "CA", "AU" ], "type": "string", "description": "The country to search in (e.g., 'US', 'GB', 'CA', 'AU', 'Anywhere').", "default": "US" }, "maxAds": { "title": "Max Ads to Scrape", "maximum": 500, "type": "integer", "description": "Limit the total number of ads extracted.", "default": 100 }, "enrichContactInfo": { "title": "Enrich Contact Info (Emails & Phones)", "type": "boolean", "description": "Visit the advertiser's website to extract contact information.", "default": true }, "verifyEmails": { "title": "Verify Emails (MX Check)", "type": "boolean", "description": "Perform DNS MX record checks to ensure extracted emails are capable of receiving mail.", "default": false }, "extractSocials": { "title": "Extract Social Media Profiles", "type": "boolean", "description": "Hunt for LinkedIn, Twitter, Facebook, and Instagram links on the advertiser's landing page." }, "webhookUrl": { "title": "CRM Webhook URL (Zapier/Make/GoHighLevel)", "type": "string", "description": "Automatically POST the fully enriched leads array to this URL when the run finishes." } } }, "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 } } } } } } } } } } ```