# Google Keyword Rank Tracker (`vivek_sukhadiya/google-keyword-rank-tracker`) Actor Track your website's Google ranking position for any keywords, compare against competitors, and detect SERP features (AI Overview, People Also Ask). Depersonalized, country-level ranks scanned through the top 100. For SEO agencies, marketers, and site owners. Exports to JSON, CSV, Excel. - **URL**: https://apify.com/vivek\_sukhadiya/google-keyword-rank-tracker.md - **Developed by:** [Vivek Sukhadiya](https://apify.com/vivek_sukhadiya) (community) - **Categories:** AI, Developer tools, SEO tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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 Keyword Rank Tracker 📈 **Know exactly where your website ranks on Google — for every keyword, against every competitor.** Enter your domain and a list of keywords. For each one, this Actor checks Google and returns: - 📍 **Your organic ranking position** (scanned through the top 100) - 🥊 **Competitor positions** for the same keyword - 🔗 The exact **URL of yours that ranks** - ✨ **SERP features present** (AI Overview, featured snippet, People Also Ask) that affect visibility Perfect for **SEO agencies, marketers, and site owners** tracking rankings over time. --- ### Why it's accurate - Uses Apify's official **Google SERP proxy** — real Google results, no logins, no fabricated data - **Depersonalized** (no cookies/search history) → a clean, standardized country-level rank, the same methodology pro tools use - **Country + language targeting** (e.g. `us`/`en`, `in`/`hi`) - Scans the **top 100** so deep rankings are caught > Note: this reports neutral, country-level rankings (not one specific person's personalized result — Google personalizes per user, which no tracker can replicate). City-level local tracking is on the roadmap. --- ### Input ```json { "domain": "notion.so", "keywords": ["best note taking app", "notion alternatives"], "competitors": ["evernote.com", "obsidian.md"], "country": "us", "language": "en", "depth": 100 } ```` | Field | Required | Description | |---|---|---| | `domain` | ✅ | Your website (e.g. `notion.so`) | | `keywords` | ✅ | Keywords to check your rank for | | `competitors` | — | Competitor domains to compare | | `country` | — | Google country code (`us`, `gb`, `in`) | | `language` | — | Language code (`en`, `hi`) | | `depth` | — | How deep to scan (10–100) | *** ### Example output (1 keyword) ```json { "keyword": "best note taking app", "domain": "notion.so", "rank": 4, "ranking_url": "https://www.notion.so/...", "competitor_ranks": { "evernote.com": 3, "obsidian.md": 9 }, "serp_features": ["ai_overview", "people_also_ask"], "top_10": [ { "position": 1, "title": "...", "url": "...", "domain": "reddit.com" } ] } ``` *** ### Use cases - **Rank tracking** — monitor your keyword positions over time - **Competitor benchmarking** — see who outranks you and where - **SEO reporting** — drop the data straight into client reports (JSON/CSV/Excel) - **SERP feature awareness** — know when AI Overviews or snippets are pushing you down *** ### Pairs well with 👉 **AI Search Visibility Tracker** — see if your brand appears inside Google AI Overviews and what sources they cite. # Actor input Schema ## `domain` (type: `string`): The domain to track rankings for, e.g. notion.so (no https://). Matching ignores www. ## `keywords` (type: `array`): The search keywords to check your ranking for (one per line). ## `competitors` (type: `array`): Competitor domains to compare ranks against, e.g. evernote.com. ## `country` (type: `string`): Two-letter Google country code (e.g. us, gb, in). ## `language` (type: `string`): Two-letter language code (e.g. en, hi). ## `depth` (type: `integer`): How deep to look for your domain (top N organic results). ## Actor input object example ```json { "domain": "notion.so", "keywords": [ "best note taking app", "notion alternatives" ], "competitors": [ "evernote.com", "obsidian.md" ], "country": "us", "language": "en", "depth": 100 } ``` # Actor output Schema ## `results` (type: `string`): The dataset with one record per keyword checked. # 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 = { "domain": "notion.so", "keywords": [ "best note taking app", "notion alternatives" ], "competitors": [ "evernote.com", "obsidian.md" ] }; // Run the Actor and wait for it to finish const run = await client.actor("vivek_sukhadiya/google-keyword-rank-tracker").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 = { "domain": "notion.so", "keywords": [ "best note taking app", "notion alternatives", ], "competitors": [ "evernote.com", "obsidian.md", ], } # Run the Actor and wait for it to finish run = client.actor("vivek_sukhadiya/google-keyword-rank-tracker").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 '{ "domain": "notion.so", "keywords": [ "best note taking app", "notion alternatives" ], "competitors": [ "evernote.com", "obsidian.md" ] }' | apify call vivek_sukhadiya/google-keyword-rank-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=vivek_sukhadiya/google-keyword-rank-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Keyword Rank Tracker", "description": "Track your website's Google ranking position for any keywords, compare against competitors, and detect SERP features (AI Overview, People Also Ask). Depersonalized, country-level ranks scanned through the top 100. For SEO agencies, marketers, and site owners. Exports to JSON, CSV, Excel.", "version": "0.1", "x-build-id": "P0hUbxcwPLG1vSxM7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/vivek_sukhadiya~google-keyword-rank-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-vivek_sukhadiya-google-keyword-rank-tracker", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/vivek_sukhadiya~google-keyword-rank-tracker/runs": { "post": { "operationId": "runs-sync-vivek_sukhadiya-google-keyword-rank-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/vivek_sukhadiya~google-keyword-rank-tracker/run-sync": { "post": { "operationId": "run-sync-vivek_sukhadiya-google-keyword-rank-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "domain", "keywords" ], "properties": { "domain": { "title": "Your website domain", "type": "string", "description": "The domain to track rankings for, e.g. notion.so (no https://). Matching ignores www." }, "keywords": { "title": "Keywords to track", "type": "array", "description": "The search keywords to check your ranking for (one per line).", "items": { "type": "string" } }, "competitors": { "title": "Competitor domains (optional)", "type": "array", "description": "Competitor domains to compare ranks against, e.g. evernote.com.", "items": { "type": "string" } }, "country": { "title": "Country code", "type": "string", "description": "Two-letter Google country code (e.g. us, gb, in).", "default": "us" }, "language": { "title": "Language code", "type": "string", "description": "Two-letter language code (e.g. en, hi).", "default": "en" }, "depth": { "title": "Search depth (results to scan)", "minimum": 10, "maximum": 100, "type": "integer", "description": "How deep to look for your domain (top N organic results).", "default": 100 } } }, "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 } } } } } } } } } } ```