# Ranked Keywords Checker - Any Domain's Google Keywords (`santhej/ranked-keywords-checker`) Actor See every keyword a domain ranks for on Google: position, search volume, CPC, competition, traffic estimate & the exact ranking URL. Spy on competitors or audit your own site. 190+ countries. Clean JSON/CSV. A cheap Ahrefs/Semrush alternative. No API keys. - **URL**: https://apify.com/santhej/ranked-keywords-checker.md - **Developed by:** [Santhej Kallada](https://apify.com/santhej) (community) - **Categories:** SEO tools, AI, MCP servers - **Stats:** 2 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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.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 ## Ranked Keywords Checker — Every Keyword a Domain Ranks For on Google **Spy on any competitor's organic keywords — or audit your own — without a $99/month SEO subscription. Get every keyword a domain ranks for, with position, search volume, CPC, traffic estimate, and the exact ranking URL.** Point it at a domain and instantly see the keywords driving its Google traffic, sorted by value. The fastest way to reverse-engineer a competitor's SEO strategy and find keywords you should be targeting. --- ### What you get per keyword - 🔑 **Keyword & position** — what they rank for and where (1–100). - 📊 **Search volume & CPC** — demand and commercial value. - 🚦 **Competition level** — how hard the keyword is. - 🚀 **Estimated traffic** — how much organic traffic the keyword sends. - 🔗 **Ranking URL & page title** — the exact page that ranks. ### Why it beats the big SEO suites | | This actor | Ahrefs / Semrush | |---|---|---| | **Price** | Pay per keyword pulled | $99–$199 / month | | **Commitment** | None | Annual contracts | | **Output** | JSON / CSV / Excel, API-ready | Locked in dashboard | | **Coverage** | 190+ countries | Add-on tiers | ### Perfect for - **Competitor research** — reverse-engineer any rival's organic keyword strategy. - **Keyword gap analysis** — find valuable terms competitors rank for and you don't. - **SEO audits** — see exactly what your own site ranks for and where. - **Content strategy** — prioritize keywords by traffic and commercial value. - **Agencies & AI agents** — pull ranked-keyword data into reports and MCP pipelines. ### How to use it 1. Enter a **domain** (e.g. `ahrefs.com`). 2. Set how many **keywords** to pull and an optional **minimum volume**. 3. Pick **country** + **language**, run it, export JSON/CSV. #### Example input ```json { "target": "ahrefs.com", "limit": 100, "minVolume": 100, "locationCode": "2840" } ```` #### Example output (one row per keyword) ```json { "keyword": "free seo tools", "position": 1, "search_volume": 22000, "cpc": 4.1, "competition": "LOW", "traffic_estimate": 8450.2, "ranking_url": "https://ahrefs.com/free-seo-tools", "title": "9 Free SEO Tools…" } ``` ### Pricing Pay per ranked keyword returned — no subscription, no minimum. ### FAQ **Can I check any website?** Yes — your own or any competitor's root domain. **How many keywords can I get?** Up to 3,000 per run, sorted by estimated traffic. **Which countries?** 190+ countries and all major languages. **Good for AI agents?** Yes — clean JSON, ideal for MCP servers, n8n, Make, and LLM agents. *** *Tags: ranked keywords, keyword rankings, competitor keywords, organic keywords, seo competitor analysis, keyword gap, ahrefs alternative, semrush alternative, domain keywords, seo research.* # Actor input Schema ## `target` (type: `string`): A single website to analyze (e.g. ‘ahrefs.com’). Enter a root domain — no http:// or www needed. For multiple domains, use ‘Domains (bulk)’ below. ## `targets` (type: `array`): Analyze multiple domains in one run (one per line, up to 25). Each domain gets its own ranked keywords, overview and competitor rows. ## `limit` (type: `integer`): How many ranked keywords to return, sorted by estimated traffic (1–3,000). ## `minVolume` (type: `integer`): Only return keywords with at least this monthly search volume. 0 = no filter. ## `locationCode` (type: `string`): Target country. Default United States (2840). UK 2826, Canada 2124, Australia 2036, India 2356, Germany 2276. ## `languageCode` (type: `string`): Language code (e.g. en, es, de, fr). ## `includeDomainOverview` (type: `boolean`): Add a summary row per domain: total organic keywords, estimated traffic value, paid-traffic cost equivalent and position-bucket breakdown. ## `includeDifficulty` (type: `boolean`): Add an SEO ranking-difficulty score to each ranked keyword. ## `includeSearchIntent` (type: `boolean`): Add the dominant search intent (informational, commercial, transactional, navigational) to each ranked keyword. ## `includeCompetitors` (type: `boolean`): Discover the top organic competitors for each domain, with shared-keyword count, average position and their organic traffic value. ## `competitorLimit` (type: `integer`): How many competitor domains to return when ‘Include competitor domains’ is on (1–100). ## Actor input object example ```json { "target": "ahrefs.com", "limit": 100, "minVolume": 0, "locationCode": "2840", "languageCode": "en", "includeDomainOverview": true, "includeDifficulty": false, "includeSearchIntent": false, "includeCompetitors": false, "competitorLimit": 20 } ``` # Actor output Schema ## `dataset` (type: `string`): Keywords the domain ranks for, with position and traffic. ## `summary` (type: `string`): Target and keyword counts. # 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 = { "target": "ahrefs.com" }; // Run the Actor and wait for it to finish const run = await client.actor("santhej/ranked-keywords-checker").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 = { "target": "ahrefs.com" } # Run the Actor and wait for it to finish run = client.actor("santhej/ranked-keywords-checker").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 '{ "target": "ahrefs.com" }' | apify call santhej/ranked-keywords-checker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=santhej/ranked-keywords-checker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Ranked Keywords Checker - Any Domain's Google Keywords", "description": "See every keyword a domain ranks for on Google: position, search volume, CPC, competition, traffic estimate & the exact ranking URL. Spy on competitors or audit your own site. 190+ countries. Clean JSON/CSV. A cheap Ahrefs/Semrush alternative. No API keys.", "version": "0.0", "x-build-id": "keBZrqU3OGwEEmUmP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/santhej~ranked-keywords-checker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-santhej-ranked-keywords-checker", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/santhej~ranked-keywords-checker/runs": { "post": { "operationId": "runs-sync-santhej-ranked-keywords-checker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/santhej~ranked-keywords-checker/run-sync": { "post": { "operationId": "run-sync-santhej-ranked-keywords-checker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "target": { "title": "Domain", "type": "string", "description": "A single website to analyze (e.g. ‘ahrefs.com’). Enter a root domain — no http:// or www needed. For multiple domains, use ‘Domains (bulk)’ below." }, "targets": { "title": "Domains (bulk)", "maxItems": 25, "type": "array", "description": "Analyze multiple domains in one run (one per line, up to 25). Each domain gets its own ranked keywords, overview and competitor rows.", "items": { "type": "string" } }, "limit": { "title": "Max keywords", "minimum": 1, "maximum": 3000, "type": "integer", "description": "How many ranked keywords to return, sorted by estimated traffic (1–3,000).", "default": 100 }, "minVolume": { "title": "Minimum search volume", "minimum": 0, "type": "integer", "description": "Only return keywords with at least this monthly search volume. 0 = no filter.", "default": 0 }, "locationCode": { "title": "Country", "enum": [ "2840", "2826", "2124", "2036", "2356", "2276", "2250", "2724", "2380", "2392" ], "type": "string", "description": "Target country. Default United States (2840). UK 2826, Canada 2124, Australia 2036, India 2356, Germany 2276.", "default": "2840" }, "languageCode": { "title": "Language", "type": "string", "description": "Language code (e.g. en, es, de, fr).", "default": "en" }, "includeDomainOverview": { "title": "Include domain overview summary", "type": "boolean", "description": "Add a summary row per domain: total organic keywords, estimated traffic value, paid-traffic cost equivalent and position-bucket breakdown.", "default": true }, "includeDifficulty": { "title": "Include keyword difficulty (0–100)", "type": "boolean", "description": "Add an SEO ranking-difficulty score to each ranked keyword.", "default": false }, "includeSearchIntent": { "title": "Include search intent", "type": "boolean", "description": "Add the dominant search intent (informational, commercial, transactional, navigational) to each ranked keyword.", "default": false }, "includeCompetitors": { "title": "Include competitor domains", "type": "boolean", "description": "Discover the top organic competitors for each domain, with shared-keyword count, average position and their organic traffic value.", "default": false }, "competitorLimit": { "title": "Max competitors per domain", "minimum": 1, "maximum": 100, "type": "integer", "description": "How many competitor domains to return when ‘Include competitor domains’ is on (1–100).", "default": 20 } } }, "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 } } } } } } } } } } ```