# Semrush Website Overview Scraper (`xtracto/semrush-website-overview`) Actor Extract public traffic analytics from Semrush /website/{domain}/overview/ — visits, authority score, backlinks, top keywords, competitors, country/device breakdowns. One record per domain. No auth, no proxy required. - **URL**: https://apify.com/xtracto/semrush-website-overview.md - **Developed by:** [Farhan Febrian Nauval](https://apify.com/xtracto) (community) - **Categories:** Lead generation, Automation, Developer tools - **Stats:** 1 total users, 0 monthly users, 83.3% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 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. 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 ## Semrush Website Overview Actor Pull public traffic analytics from Semrush for any list of domains — visits, authority score, backlinks, top keywords, top competitors, country split, and device split. One record per domain, no account required. --- ### Why use this actor - **No account or API key needed** — all data comes from Semrush's publicly accessible overview pages. - **Traffic estimates at a glance** — monthly visit counts plus month-over-month change for every domain you submit. - **Authority score and backlinks** — Semrush's 0–100 authority rating and total inbound link count in every record. - **Top keywords and competitors** — see which search terms drive the most organic traffic and which sites compete for the same audience. - **Country and device breakdown** — understand where visitors come from and whether they use desktop or mobile. - **Stable JSON output** — every run produces the same field names and types, ready to load into a database, spreadsheet, or downstream pipeline. --- ### How it works 1. You provide a list of domains (e.g. `apple.com`, `github.com`). 2. The actor fetches the public overview page for each domain and extracts all available metrics. 3. Each domain produces exactly one output record — whether the lookup succeeds or the domain is not found. 4. Results appear in your dataset as structured JSON, ready to download as JSON, CSV, or Excel. You do not need to manage browsers, proxies, or rate limiting — the actor handles all of that automatically. --- ### Input ```json { "domains": ["apple.com", "github.com"], "maxConcurrency": 3, "requestDelayMs": 500, "proxyConfiguration": { "useApifyProxy": false } } ```` | Field | Type | Default | Description | |---|---|---|---| | `domains` | array | required | Root domains to look up (e.g. `apple.com`). Full URLs are accepted and stripped to the root domain. Each domain produces one output record. | | `maxConcurrency` | integer | `3` | How many domains to process simultaneously. Keep at 3 or below for large batches. | | `requestDelayMs` | integer | `500` | Milliseconds to wait between requests (a small random variation is added). Increase to 1000–2000 for batches of 1 000+ domains. | | `proxyConfiguration` | object | no proxy | Optional proxy settings. Leave at the default for most runs. | *** ### Output One record per domain. Example for `apple.com` and `github.com` (arrays truncated): ```json [ { "_input": "apple.com", "_source": "S1-website-rsc", "_scrapedAt": "2026-06-10T12:15:19Z", "recordType": "DOMAIN_OVERVIEW", "domain": "apple.com", "brandName": "Apple", "displayDate": "2026-04-01", "visits": 635764958, "visitsDiffPct": -0.2518, "pagesPerVisit": 3.2304, "timeOnSiteSeconds": 469, "bounceRate": 0.5892, "authorityScore": 100, "backlinks": 6452600472, "referringDomains": 5792563, "googlePenaltyRisk": "Low", "topKeywords": [ { "keyword": "apple", "position": 1, "searchVolume": 4090000, "cpc": 0.36, "trafficPct": 0.0179 }, { "keyword": "facebook", "position": 3, "searchVolume": 101000000, "cpc": 9.17, "trafficPct": 0.0099 }, "... 2 more" ], "competitors": [ { "name": "google.com", "relevance": 0.31, "visits": 93834069957 }, { "name": "imdb.com", "relevance": 0.18, "visits": 703158376 }, { "name": "spotify.com", "relevance": 0.18, "visits": 831606418 } ], "trafficByCountry": [ { "country": "US", "countryName": "United States", "traffic": 209474156, "trafficShare": 0.3295 }, { "country": "GB", "countryName": "United Kingdom", "traffic": 44046719, "trafficShare": 0.0693 }, "... more" ], "trafficByDevice": [ { "displayDate": "2026-04-01", "visits": 635764958, "desktopVisits": 285026150, "mobileVisits": 350738808 }, "... 1 more" ], "visitsHistory": [ { "displayDate": "2026-04-01", "visits": 635764958 }, { "displayDate": "2026-03-01", "visits": 849715801 }, { "displayDate": "2026-02-01", "visits": 624525130 } ], "backlinksHistory": [ { "displayDate": "2026-04-01", "backlinks": 6452600472 }, "... 2 more" ], "organicSearchVisits": 941734597, "paidSearchVisits": 6347539, "searchTrafficHistory": [ { "displayDate": "2026-04-15", "organic": 941734597, "paid": 6347539, "total": 948082136 }, "... 1 more" ] }, { "_input": "github.com", "_source": "S1-website-rsc", "_scrapedAt": "2026-06-10T12:15:20Z", "recordType": "DOMAIN_OVERVIEW", "domain": "github.com", "brandName": "GitHub", "displayDate": "2026-04-01", "visits": 934714141, "visitsDiffPct": -0.1259, "authorityScore": 100, "backlinks": 9151702027, "referringDomains": 3787533, "googlePenaltyRisk": "Low", "topKeywords": [ { "keyword": "github", "position": 1, "searchVolume": 1000000, "cpc": 2.47, "trafficPct": 0.0474 }, "... 4 more" ], "competitors": [ { "name": "stackoverflow.com", "relevance": 0.27, "visits": 41797828 }, "... 2 more" ] } ] ``` #### Output field reference | Field | Type | Description | |---|---|---| | `_input` | string | The domain as you entered it. | | `_source` | string | Internal data-source tag (`S1-website-rsc`). | | `_scrapedAt` | string | UTC timestamp of when the record was collected. | | `_error` | string | Present only on failure. Values: `not_found`, `no_data`, `network_error`, `http_N`. | | `recordType` | string | Always `DOMAIN_OVERVIEW`. | | `domain` | string | Canonical domain as recognised by Semrush. | | `brandName` | string | Brand name (e.g. `Apple`). | | `displayDate` | string | Month the traffic data covers (`YYYY-MM-DD`). | | `visits` | integer | Total visits for the month. | | `visitsDiffPct` | float | Month-over-month change as a fraction (e.g. `-0.25` = −25 %). | | `pagesPerVisit` | float | Average pages viewed per session. | | `timeOnSiteSeconds` | integer | Average session duration in seconds. | | `bounceRate` | float | Share of single-page visits (0–1). | | `visitsHistory` | array | Up to 3 months of visit counts. | | `authorityScore` | integer | Semrush authority score (0–100). | | `backlinks` | integer | Total inbound links. | | `backlinksDiffPct` | float | Month-over-month change in backlinks. | | `referringDomains` | integer | Number of unique domains linking to this site. | | `googlePenaltyRisk` | string | `Low`, `High`, or `null`. | | `backlinksHistory` | array | Up to 6 months of backlink counts. | | `competitors` | array | Up to 3 competing domains with relevance score and visit count. | | `topKeywords` | array | Up to 5 top organic keywords with position, search volume, CPC, and traffic share (US data). | | `organicSearchVisits` | integer | Estimated visits from organic search. | | `paidSearchVisits` | integer | Estimated visits from paid search. | | `searchTrafficHistory` | array | Up to 6 months of organic + paid + total search traffic. | | `trafficByCountry` | array | Top countries with visit count and traffic share. | | `trafficByDevice` | array | Up to 6 months of desktop vs mobile visit breakdown. | #### Error records If a domain cannot be found or a transient error occurs, the actor still emits one record for that domain — it will have an `_error` field instead of metrics. This makes failures visible in your dataset rather than silently missing rows. | `_error` value | Meaning | |---|---| | `not_found` | Domain has no Semrush overview page (HTTP 404). | | `no_data` | Page loaded but contained no data. | | `network_error` | All retries failed (transient network issue). | | `http_N` | Unexpected HTTP status code `N`. | *** ### Limitations Semrush's public overview page only includes a preview of the full data available to paid Semrush subscribers: | Metric | This actor (public data) | Semrush paid plans | |---|---|---| | Keywords per domain | Top 5, US market only | Thousands, all countries | | Competitors | Top 3 | Full list | | History window | 3–6 months | Multi-year | | Data freshness | Monthly snapshots | Daily updates | For deeper analysis, see the [official Semrush API](https://developer.semrush.com/) (paid subscription required). *** ### Other actors in this collection | Actor | What it extracts | |---|---| | [mobile.de Listings](https://apify.com/xtracto/mobilede-listings) | Used-car listings from Germany's largest auto marketplace | | [Immobiliare Listings](https://apify.com/xtracto/immobiliare-listings) | Property listings from Italy's top real-estate portal | | [Idealista Listings](https://apify.com/xtracto/idealista-listings) | Property listings from Spain and Portugal | | [Leboncoin Listings](https://apify.com/xtracto/leboncoin-listings) | Classifieds from France's largest marketplace | | [Avito Listings](https://apify.com/xtracto/avito-listings) | Classifieds from Russia's largest marketplace | | [MercadoLibre Listings](https://apify.com/xtracto/mercadolibre-listings) | Listings from Latin America's leading marketplace | | [Eventbrite Events](https://apify.com/xtracto/eventbrite-events) | Public events and ticket details from Eventbrite | | [Kickstarter Projects](https://apify.com/xtracto/kickstarter-projects) | Crowdfunding projects from Kickstarter | # Actor input Schema ## `domains` (type: `array`): One or more root domains to look up (e.g. apple.com, github.com). Full URLs are also accepted — the actor extracts the root domain automatically. Each domain produces exactly one output record. ## `maxConcurrency` (type: `integer`): How many domains to process at the same time. Default 3. Keep at 3 or below for large batches to stay within polite usage limits. ## `requestDelayMs` (type: `integer`): Milliseconds to wait between requests (a small random variation is added automatically). Default 500 ms. Increase to 1000–2000 ms for batches of 1 000+ domains. ## `proxyConfiguration` (type: `object`): Optional proxy settings. No proxy is needed for normal runs — leave this at the default (no proxy) unless your network IP is being blocked. ## Actor input object example ```json { "domains": [ "apple.com", "github.com" ], "maxConcurrency": 3, "requestDelayMs": 500, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "domains": [ "apple.com", "github.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("xtracto/semrush-website-overview").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 = { "domains": [ "apple.com", "github.com", ] } # Run the Actor and wait for it to finish run = client.actor("xtracto/semrush-website-overview").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 '{ "domains": [ "apple.com", "github.com" ] }' | apify call xtracto/semrush-website-overview --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=xtracto/semrush-website-overview", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Semrush Website Overview Scraper", "description": "Extract public traffic analytics from Semrush /website/{domain}/overview/ — visits, authority score, backlinks, top keywords, competitors, country/device breakdowns. One record per domain. No auth, no proxy required.", "version": "0.1", "x-build-id": "lzfblXhgCoSsbToUm" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/xtracto~semrush-website-overview/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-xtracto-semrush-website-overview", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/xtracto~semrush-website-overview/runs": { "post": { "operationId": "runs-sync-xtracto-semrush-website-overview", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/xtracto~semrush-website-overview/run-sync": { "post": { "operationId": "run-sync-xtracto-semrush-website-overview", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "domains" ], "properties": { "domains": { "title": "Domains to analyze", "type": "array", "description": "One or more root domains to look up (e.g. apple.com, github.com). Full URLs are also accepted — the actor extracts the root domain automatically. Each domain produces exactly one output record.", "items": { "type": "string" } }, "maxConcurrency": { "title": "Max concurrent requests", "minimum": 1, "maximum": 5, "type": "integer", "description": "How many domains to process at the same time. Default 3. Keep at 3 or below for large batches to stay within polite usage limits.", "default": 3 }, "requestDelayMs": { "title": "Delay between requests (ms)", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Milliseconds to wait between requests (a small random variation is added automatically). Default 500 ms. Increase to 1000–2000 ms for batches of 1 000+ domains.", "default": 500 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional proxy settings. No proxy is needed for normal runs — leave this at the default (no proxy) unless your network IP is being blocked.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```