# Google Ad Traffic By Keywords (`opspilot.cc/google-ad-traffic-by-keywords`) Actor Get ad traffic statistics from Google Ads - projected impressions, clicks, CTR, and CPC based on your bid and match type. - **URL**: https://apify.com/opspilot.cc/google-ad-traffic-by-keywords.md - **Developed by:** [wang wei](https://apify.com/opspilot.cc) (community) - **Categories:** SEO tools - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.10 / actor start 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 ## Ad Traffic By Keywords Get ad traffic statistics from Google Ads - projected impressions, clicks, CTR, and CPC based on your bid and match type. ### Features - **Traffic Projections** - Estimated impressions, clicks, CTR - **CPC Estimates** - Cost per click from actual ad auctions - **Bid Simulation** - See metrics at different bid levels - **Match Types** - Support for exact, phrase, and broad match - **Forecasting** - Predict traffic for next week, month, or quarter - **Bulk Analysis** - Up to 1000 keywords per request ### Important Notes - **Bid Required** - You must specify a custom bid. Higher bids = higher projected metrics - **Match Type** - Choose exact, phrase, or broad match - **Ad Traffic vs Search Volume** - Ad traffic data is account-specific and more accurate than broad match estimates ### Input | Field | Required | Description | |-------|----------|-------------| | Keywords | Yes | Keywords to analyze (max 1000) | | Custom Bid | Yes | Maximum bid (recommended: 1-10) | | Match Type | Yes | exact, phrase, broad | | Location | No | Target location | | Language | No | Target language | | Date Interval | No | next_week, next_month, next_quarter | | Sort By | No | relevance, impressions, ctr, average_cpc, cost, clicks | #### Example Input ```` Keywords: coffee shop, seo services Custom Bid: 5 Match Type: broad Location: United States Date Interval: next\_month ```` ### Output Each result contains: | Field | Type | Description | |-------|------|-------------| | keyword | string | The keyword | | locationCode | integer | Location code | | languageCode | string | Language code | | dateInterval | string | Forecasting period | | searchPartners | boolean | Include search partners | | bid | integer | Your custom bid | | match | string | Match type used | | impressions | float | Projected impressions | | ctr | float | Click-through rate | | averageCpc | float | Average cost per click | | cost | float | Total projected cost | | clicks | float | Projected clicks | ### Use Cases - **PPC Campaigns** - Estimate realistic traffic before launching - **Budget Planning** - Forecast costs at different bid levels - **Keyword Research** - Compare match type performance - **ROI Estimation** - Calculate potential returns - **Competitive Analysis** - Understand keyword competitiveness ### Notes - Rate limit: 12 requests per minute - Max 1000 keywords per request - Higher bids result in higher projected metrics - Some fields may be null if no data available # Actor input Schema ## `keywords` (type: `string`): Keywords to analyze. One per line or comma-separated. Max 1000 keywords, 80 characters each. ## `bid` (type: `integer`): Maximum custom bid. The higher the bid, the higher the projected metrics. Recommended starting value: 1-10 ## `match` (type: `string`): Keywords match-type. - exact: exact match - phrase: phrase match - broad: broad match ## `location` (type: `string`): Target location. Example: United States ## `language` (type: `string`): Target language. Example: English ## `dateInterval` (type: `string`): Forecasting time period. Default: next_month ## `sortBy` (type: `string`): Results sorting. Default: relevance ## Actor input object example ```json { "match": "broad", "dateInterval": "next_month", "sortBy": "relevance" } ```` # Actor output Schema ## `trafficData` (type: `string`): Dataset containing ad traffic results # 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("opspilot.cc/google-ad-traffic-by-keywords").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("opspilot.cc/google-ad-traffic-by-keywords").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 opspilot.cc/google-ad-traffic-by-keywords --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=opspilot.cc/google-ad-traffic-by-keywords", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Ad Traffic By Keywords", "description": "Get ad traffic statistics from Google Ads - projected impressions, clicks, CTR, and CPC based on your bid and match type.", "version": "0.1", "x-build-id": "VXlv4nhY40VC1ZwmI" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/opspilot.cc~google-ad-traffic-by-keywords/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-opspilot.cc-google-ad-traffic-by-keywords", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/opspilot.cc~google-ad-traffic-by-keywords/runs": { "post": { "operationId": "runs-sync-opspilot.cc-google-ad-traffic-by-keywords", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/opspilot.cc~google-ad-traffic-by-keywords/run-sync": { "post": { "operationId": "run-sync-opspilot.cc-google-ad-traffic-by-keywords", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "bid", "match" ], "properties": { "keywords": { "title": "Keywords", "type": "string", "description": "Keywords to analyze.\nOne per line or comma-separated.\nMax 1000 keywords, 80 characters each." }, "bid": { "title": "Custom Bid", "type": "integer", "description": "Maximum custom bid.\nThe higher the bid, the higher the projected metrics.\nRecommended starting value: 1-10" }, "match": { "title": "Match Type", "enum": [ "exact", "phrase", "broad" ], "type": "string", "description": "Keywords match-type.\n\n- exact: exact match\n- phrase: phrase match\n- broad: broad match", "default": "broad" }, "location": { "title": "Location", "type": "string", "description": "Target location.\nExample:\nUnited States" }, "language": { "title": "Language", "type": "string", "description": "Target language.\nExample:\nEnglish" }, "dateInterval": { "title": "Date Interval", "enum": [ "next_week", "next_month", "next_quarter" ], "type": "string", "description": "Forecasting time period.\n\nDefault: next_month", "default": "next_month" }, "sortBy": { "title": "Sort By", "enum": [ "relevance", "impressions", "ctr", "average_cpc", "cost", "clicks" ], "type": "string", "description": "Results sorting.\nDefault: relevance", "default": "relevance" } } }, "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 } } } } } } } } } } ```