# Ahrefs Top Websites (`codebyte/ahrefs-top-websites`) Actor Scrape top-ranking websites, trending websites, and detailed website analytics from Ahrefs Top. Extract search traffic data, domain ratings, backlink profiles, keyword rankings, and traffic trends for any website — filtered by country and category. - **URL**: https://apify.com/codebyte/ahrefs-top-websites.md - **Developed by:** [Codebyte](https://apify.com/codebyte) (community) - **Categories:** E-commerce, SEO tools, Lead generation - **Stats:** 17 total users, 1 monthly users, 100.0% runs succeeded, 2 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## Ahrefs Top Websites Scraper Scrape top-ranking websites, trending websites, and detailed website analytics from Ahrefs Top. Extract search traffic data, domain ratings, backlink profiles, keyword rankings, and traffic trends for any website — filtered by country and category. ### What does Ahrefs Top Websites Scraper do? This actor extracts website ranking and analytics data from Ahrefs Top in three modes: - **Top Ranking** — Scrape the ranked list of top websites with search traffic estimates, rank changes, and categories. Filter by country (190+ countries) and category (25+ categories). - **Top Trending** — Get the fastest-growing and fastest-declining websites, with traffic deltas and rank movement. - **Website Details** — Scrape in-depth analytics for specific domains: domain rating, backlink profile, search traffic metrics, top keywords, competitors, traffic history charts, and more. You can also combine ranking/trending with details by enabling **Include Website Details**, which enriches each result with full analytics data. ### How much does it cost? This actor uses pay-per-event pricing: | Event | Description | |-------|-------------| | `result` | Each website row from Top Ranking or Top Trending output| | `detail-result` | Each website detail result in Website Details mode or when including Details in Top Ranking or Top Trending | You can set a spending limit on each run to control costs. The actor stops automatically when your event charge limit is reached. ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `mode` | string | `top_ranking` | Scraping mode: `top_ranking`, `top_trending`, or `website_details` | | `country` | string | `worldwide` | Filter by country (190+ supported). Used in `top_ranking` and `top_trending` modes | | `category` | string | `all categories` | Filter by category (e.g. Finance, Shopping, News, Entertainment). Used in `top_ranking` and `top_trending` modes | | `top_ranking_result_limit` | integer | `1000` | Maximum number of websites to scrape in `top_ranking` mode (minimum 100) | | `top_list_include_website_details` | boolean | `false` | When enabled in `top_ranking` or `top_trending` mode, enriches each result with full website details | | `website_details` | string[] | `[]` | List of domains for `website_details` mode. Accepts bare domains (`wikipedia.org`), full URLs (`https://wikipedia.org`), or Ahrefs Top URLs (`https://ahrefstop.com/websites/wikipedia.org`) | #### Input examples **Top 500 finance websites in the United States:** ```json { "mode": "top_ranking", "country": "united states", "category": "finance", "top_ranking_result_limit": 500 } ```` **Trending websites worldwide with full details:** ```json { "mode": "top_trending", "country": "worldwide", "category": "all categories", "top_list_include_website_details": true } ``` **Detailed analytics for specific domains:** ```json { "mode": "website_details", "website_details": [ "wikipedia.org", "github.com", "reddit.com" ] } ``` > **Important:** When using `website_details` mode with your own list of domains, be aware that Ahrefs Top only has detail data for popular/well-known websites. For lesser-known domains, Ahrefs Top returns no data (404), but **you will still be charged** for the request since we incur costs by sending it. Prefer using `top_ranking` or `top_trending` mode with `top_list_include_website_details` enabled. ### Output #### Top Ranking output Each result contains the website's position in the Ahrefs ranking: ```json { "rank": 1, "delta": 0, "deltaDirection": "same", "website": "google.com", "category": "Internet & Telecom", "searchTraffic": "16.1B", "searchTrafficDelta": 0, "searchTrafficDeltaDirection": "down" } ``` | Field | Description | |-------|-------------| | `rank` | Current position in the ranking | | `delta` | Rank change since last update | | `deltaDirection` | Direction of rank change: `up`, `down`, or `same` | | `website` | Domain name | | `category` | Website category | | `searchTraffic` | Estimated monthly search traffic (abbreviated, e.g. `16.1B`) | | `searchTrafficDelta` | Search traffic change value | | `searchTrafficDeltaDirection` | Direction of traffic change | #### Top Trending output Same fields as Top Ranking plus: | Field | Description | |-------|-------------| | `trendingDirection` | Either `trendingUp` or `trendingDown` | #### Website Details output Detailed analytics for a single domain: ```json { "website": "github.com", "websiteDescription": "GitHub is where people build software...", "websiteSubtitle": "github.com", "dataDate": "March 2026", "domainRating": 97, "trafficRankWorldwide": { "rank": 42, "label": "Worldwide", "delta": 2, "deltaDirection": "up" }, "trafficRankCountry": { "rank": 28, "label": "United States", "delta": 1, "deltaDirection": "up" }, "trafficRankCategory": { "rank": 3, "label": "Computers & Electronics", "delta": 0, "deltaDirection": "same" }, "searchTrafficImpressions": { "value": 494800000, "delta": 8700000, "deltaDirection": "up" }, "searchTrafficValue": { "value": 300000000, "delta": 0, "deltaDirection": "same" }, "searchKeywords": { "value": 21000000, "delta": 0, "deltaDirection": "same" }, "linkingWebsites": { "value": 7800000, "delta": 0, "deltaDirection": "same" }, "topCompetitors": [ { "website": "stackoverflow.com", "traffic": "283.1M", "trafficDelta": "+15.7M", "rank": 64 } ], "similarlyRanked": [], "topKeywords": [ { "keyword": "github", "volume": "30.4M", "volumeDelta": null, "traffic": "7.8M", "trafficDelta": null, "position": "1", "positionDelta": null } ], "searchTrafficData": [ { "date": "2024-01", "search_traffic": 450000000, "search_traffic_value": 280000000 } ], "referringDomainsData": [ { "date": "2024-01", "value": 7500000 } ] } ``` | Field | Description | |-------|-------------| | `website` | Domain name | | `websiteDescription` | Site description from Ahrefs | | `websiteSubtitle` | Subtitle shown on the detail page | | `dataDate` | When the data was last updated (e.g. "March 2026") | | `domainRating` | Ahrefs Domain Rating (0-100) | | `trafficRankWorldwide` | Global traffic rank with delta | | `trafficRankCountry` | Country-level traffic rank with delta | | `trafficRankCategory` | Category-level traffic rank with delta | | `searchTrafficImpressions` | Estimated monthly search traffic with delta | | `searchTrafficValue` | Estimated monetary value of search traffic | | `searchKeywords` | Number of ranking keywords with delta | | `linkingWebsites` | Number of referring domains with delta | | `topCompetitors` | List of top competing websites | | `similarlyRanked` | List of similarly ranked websites | | `topKeywords` | Top organic keywords with volume, traffic, and position | | `searchTrafficData` | Historical search traffic time series | | `referringDomainsData` | Historical referring domains time series | #### Enriched output (Top Ranking/Trending + Details) When **Include Website Details** is enabled, each ranking or trending result includes a `website_details` field containing the Website Details object described above if Ahrefstop has data for this domain: ```json { "rank": 42, "delta": 2, "deltaDirection": "up", "website": "github.com", "category": "Computers & Electronics", "searchTraffic": "494.8M", "searchTrafficDelta": 8700000, "searchTrafficDeltaDirection": "up", "website_details": { "websiteDescription": "GitHub is where people build software...", "domainRating": 97, "topKeywords": [], "searchTrafficData": [], "..." } } ``` ### Use cases - **SEO research** — Analyze top-performing websites in any niche to understand competitive landscapes - **Market intelligence** — Track which websites are gaining or losing traffic in specific countries and categories - **Competitor analysis** — Compare domain ratings, backlink profiles, and keyword rankings across competitors - **Trend monitoring** — Identify fast-growing websites and emerging players in your industry - **Lead generation** — Build lists of top websites by category and country for outreach campaigns - **Investment research** — Evaluate the organic search presence and growth trajectory of digital businesses # Actor input Schema ## `mode` (type: `string`): Scraping mode: top\_ranking scrapes the ranked list of websites, top\_trending scrapes trending websites, website\_details scrapes detailed info for specific domains. ## `top_list_include_website_details` (type: `boolean`): When enabled in top\_ranking or top\_trending mode, also scrapes the detail page for each website found. ## `top_ranking_result_limit` (type: `integer`): Maximum number of websites to scrape in top\_ranking mode. Each page has ~100 results. ## `website_details` (type: `array`): List of domains to scrape in website\_details mode. Accepts bare domains (wikipedia.org), full URLs (https://wikipedia.org), or ahrefstop URLs (https://ahrefstop.com/websites/wikipedia.org). ## `country` (type: `string`): Filter websites by country ## `category` (type: `string`): Filter websites by category ## Actor input object example ```json { "mode": "top_ranking", "top_list_include_website_details": false, "top_ranking_result_limit": 1000, "website_details": [], "country": "worldwide", "category": "all" } ``` # Actor output Schema ## `results` (type: `string`): No description # 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("codebyte/ahrefs-top-websites").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("codebyte/ahrefs-top-websites").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 codebyte/ahrefs-top-websites --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=codebyte/ahrefs-top-websites", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Ahrefs Top Websites", "description": "Scrape top-ranking websites, trending websites, and detailed website analytics from Ahrefs Top. Extract search traffic data, domain ratings, backlink profiles, keyword rankings, and traffic trends for any website — filtered by country and category.", "version": "0.0", "x-build-id": "VV48LCRzmz6XgXKXU" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/codebyte~ahrefs-top-websites/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-codebyte-ahrefs-top-websites", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/codebyte~ahrefs-top-websites/runs": { "post": { "operationId": "runs-sync-codebyte-ahrefs-top-websites", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/codebyte~ahrefs-top-websites/run-sync": { "post": { "operationId": "run-sync-codebyte-ahrefs-top-websites", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "top_ranking", "top_trending", "website_details" ], "type": "string", "description": "Scraping mode: top_ranking scrapes the ranked list of websites, top_trending scrapes trending websites, website_details scrapes detailed info for specific domains.", "default": "top_ranking" }, "top_list_include_website_details": { "title": "Include Website Details", "type": "boolean", "description": "When enabled in top_ranking or top_trending mode, also scrapes the detail page for each website found.", "default": false }, "top_ranking_result_limit": { "title": "Result Limit", "minimum": 100, "type": "integer", "description": "Maximum number of websites to scrape in top_ranking mode. Each page has ~100 results.", "default": 1000 }, "website_details": { "title": "Website Domains", "type": "array", "description": "List of domains to scrape in website_details mode. Accepts bare domains (wikipedia.org), full URLs (https://wikipedia.org), or ahrefstop URLs (https://ahrefstop.com/websites/wikipedia.org).", "default": [], "items": { "type": "string" } }, "country": { "title": "Country", "enum": [ "worldwide", "afghanistan", "albania", "algeria", "american-samoa", "andorra", "angola", "antigua-and-barbuda", "argentina", "armenia", "australia", "austria", "azerbaijan", "bahamas", "bahrain", "bangladesh", "belarus", "belgium", "belize", "benin", "bhutan", "bolivia", "bosnia-and-herzegovina", "botswana", "brazil", "brunei-darussalam", "bulgaria", "burkina-faso", "burundi", "cambodia", "cameroon", "canada", "cape-verde", "central-african-republic", "chad", "chile", "colombia", "congo", "congo-democratic-republic", "cook-islands", "costa-rica", "cote-divoire", "croatia", "cyprus", "czech-republic", "denmark", "djibouti", "dominica", "dominican-republic", "ecuador", "egypt", "el-salvador", "estonia", "ethiopia", "fiji", "finland", "france", "gabon", "gambia", "georgia", "germany", "ghana", "gibraltar", "greece", "greenland", "guadeloupe", "guatemala", "guernsey", "guyana", "haiti", "honduras", "hong-kong", "hungary", "iceland", "india", "indonesia", "iraq", "ireland", "isle-of-man", "israel", "italy", "jamaica", "japan", "jersey", "jordan", "kazakhstan", "kenya", "kuwait", "kyrgyzstan", "lao-peoples-democratic-republic", "latvia", "lebanon", "lesotho", "libyan-arab-jamahiriya", "liechtenstein", "lithuania", "luxembourg", "macedonia", "madagascar", "malawi", "malaysia", "maldives", "mali", "malta", "mauritius", "mexico", "moldova", "mongolia", "montenegro", "morocco", "mozambique", "myanmar", "namibia", "nepal", "netherlands", "new-zealand", "nicaragua", "niger", "nigeria", "norway", "oman", "pakistan", "palestine", "panama", "papua-new-guinea", "paraguay", "peru", "philippines", "poland", "portugal", "puerto-rico", "qatar", "romania", "russian-federation", "rwanda", "saint-vincent-and-grenadines", "samoa", "san-marino", "saudi-arabia", "senegal", "serbia", "seychelles", "sierra-leone", "singapore", "slovakia", "slovenia", "solomon-islands", "somalia", "south-africa", "korea", "spain", "sri-lanka", "suriname", "sweden", "switzerland", "taiwan", "tajikistan", "tanzania", "thailand", "timor-leste", "togo", "tonga", "trinidad-and-tobago", "tunisia", "turkey", "turkmenistan", "uganda", "ukraine", "united-arab-emirates", "united-kingdom", "united-states", "uruguay", "uzbekistan", "vanuatu", "venezuela", "vietnam", "virgin-islands-british", "virgin-islands-us", "zambia", "zimbabwe" ], "type": "string", "description": "Filter websites by country", "default": "worldwide" }, "category": { "title": "Category", "enum": [ "all", "arts-and-entertainment", "autos-and-vehicles", "beauty-and-fitness", "books-and-literature", "business", "computers-and-electronics", "finance", "food-and-drink", "games", "health", "hobbies-and-leisure", "home-and-garden", "internet-and-telecom", "jobs-and-education", "law-and-government", "news", "social-networks", "people-and-society", "pets-and-animals", "real-estate", "reference", "science", "shopping", "sports", "travel-and-transportation" ], "type": "string", "description": "Filter websites by category", "default": "all" } } }, "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 } } } } } } } } } } ```