# Semrush Competitor (`pnda/semrush-competitor`) Actor Get up to 200 real organic competitors for any domain: competition level, shared keywords, total ranking keywords, organic traffic, traffic value and paid-keyword overlap. 47 country markets, three sort strategies (competition, overlap, traffic). Clean flat data, pipeline-ready. - **URL**: https://apify.com/pnda/semrush-competitor.md - **Developed by:** [PNDA](https://apify.com/pnda) (community) - **Categories:** E-commerce, Automation, SEO tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 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. 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 ## ๐ŸฅŠ Semrush Competitor Scraper โ€” Discover Who You're *Really* Competing With in Google Drop any domain in โ€” get up to **200 real organic competitors** ranked by **competition level, shared keywords, total keywords, organic traffic, traffic value and paid keyword overlap**. Semrush competitive intelligence, on demand, pushed straight into an Apify dataset. This Actor accepts a domain + market, handles authentication, and returns a clean, flat table of competitors ready for **JSON, CSV, Excel, Google Sheets, Looker Studio or GPT pipelines**. No Semrush login required. --- ### ๐Ÿ’ก Who is it for? - **SEO agencies & freelancers** scoping the true competitive set during onboarding. - **Growth & content teams** building keyword-gap and content-gap analyses. - **PPC managers** identifying who else is bidding on the same space. - **Founders & product marketers** sizing a new market before launch. - **M&A and investor scouts** evaluating competitive density around a target. - **Data teams** enriching CRM and BI dashboards with live competitive signals. --- ### โš™๏ธ How it works You give the Actor a domain, a country database, and a sort order. It calls the Semrush Organic Competitors report, fetches up to 200 competitors and pushes each one as a structured row into the Apify dataset. #### Sort modes | Sort | Use it whenโ€ฆ | |---|---| | **Competition Level** | You want the *closest* strategic competitors (highest keyword overlap ratio) | | **Common Keywords** | You want the competitors with the *biggest shared footprint* | | **Traffic** | You want the *biggest traffic players* in your space | #### Coverage 47 country databases: ๐Ÿ‡บ๐Ÿ‡ธ US ยท ๐Ÿ‡ฌ๐Ÿ‡ง UK ยท ๐Ÿ‡จ๐Ÿ‡ฆ CA ยท ๐Ÿ‡ฆ๐Ÿ‡บ AU ยท ๐Ÿ‡ซ๐Ÿ‡ท FR ยท ๐Ÿ‡ฉ๐Ÿ‡ช DE ยท ๐Ÿ‡ฎ๐Ÿ‡น IT ยท ๐Ÿ‡ช๐Ÿ‡ธ ES ยท ๐Ÿ‡ง๐Ÿ‡ท BR ยท ๐Ÿ‡ณ๐Ÿ‡ฑ NL ยท ๐Ÿ‡ฏ๐Ÿ‡ต JP ยท ๐Ÿ‡ฎ๐Ÿ‡ณ IN ยท ๐Ÿ‡ธ๐Ÿ‡ฌ SG ยท ๐Ÿ‡ฒ๐Ÿ‡ฝ MX ยท ๐Ÿ‡ฆ๐Ÿ‡ช AE ยท and 32 more. --- ### ๐Ÿ“ฅ Input | Field | Type | Required | Description | |---|---|---|---| | `q` | string | โœ… | Domain to analyze (e.g. `example.com`) | | `db` | string | โœ… | Country database code (`us`, `uk`, `fr`, `de`, โ€ฆ) | | `sort_by` | string | โ€” | `competition_level` (default), `common_keywords`, or `traffic` | #### Example input ```json { "q": "example.com", "db": "us", "sort_by": "competition_level" } ```` *** ### ๐Ÿ“ค Output Each competitor is pushed as one row. Example item: ```json { "domain": "competitor.com", "competition_level": 0.43, "common_keywords": 77, "se_keywords": 945, "traffic": 3335, "traffic_cost": 2386, "paid_keywords": 4 } ``` #### Field reference | Field | Meaning | |---|---| | `domain` | Competitor domain | | `competition_level` | Overlap score (0 โ†’ 1) โ€” how *close* the competitor is strategically | | `common_keywords` | Number of keywords both domains rank for | | `se_keywords` | Total organic keywords the competitor ranks for | | `traffic` | Estimated monthly organic traffic | | `traffic_cost` | Equivalent value of that traffic in paid search (USD) | | `paid_keywords` | Number of keywords the competitor is also bidding on in Google Ads | *** ### ๐Ÿš€ Why use this Actor - โœ… **Up to 200 competitors per run** โ€” the full ranked list, not just the top 5. - โœ… **Three sort strategies** โ€” switch between *closest*, *biggest overlap*, and *biggest traffic*. - โœ… **47 country markets** โ€” run per-region competitive maps in minutes. - โœ… **Flat, typed schema** โ€” plug straight into BigQuery, Postgres, Sheets or GPT. - โœ… **No login, no scraping headaches** โ€” authentication handled for you. - โœ… **Pipeline-ready** โ€” trigger from n8n, Make, Zapier, Apify Schedules or the Apify API. *** ### ๐Ÿ’ผ Use cases - **Competitive mapping**: feed the domain list into a keyword-gap workflow for instant opportunity lists. - **PPC overlap**: identify who is bidding on your organic space using `paid_keywords`. - **Market sizing**: sum `traffic` across competitors to estimate total category demand. - **Prospecting**: qualify clients by how crowded their competitive set is. - **Benchmarking**: compare your `traffic_cost` vs. the top competitor every month. - **GPT research**: feed the list into an LLM to auto-generate a competitive report. *** ### ๐Ÿงฉ Part of the Semrush suite Chain this Actor with the rest of the suite for a full SEO workflow: | Actor | What it does | |---|---| | ๐ŸฅŠ [Semrush Competitor](https://apify.com/pnda/semrush-competitor) | Up to 200 organic competitors and keyword overlap (this Actor) | | ๐Ÿ” [Semrush Keyword](https://apify.com/pnda/semrush-keyword) | Keyword ideas โ€” volume, CPC, difficulty, intent | | ๐ŸŒ [Semrush Domain](https://apify.com/pnda/semrush-domain) | Full domain audit โ€” authority, traffic, top keywords | | ๐Ÿ”— [Semrush Backlink Analytics](https://apify.com/pnda/semrush-backlink-analytics) | Authority-scored backlinks, anchors, referring domains | *** ### ๐Ÿ’ฐ Pricing **Pay-per-result** โ€” you're charged **$0.010 per competitor returned**, plus a small per-run start fee. You only pay for competitors you actually receive. | Competitors returned | Approx. cost | |---|---| | 25 | ~$0.25 | | 100 | ~$1 | | 200 (max) | ~$2 | New users get free result credits to try the Actor before spending anything. *** ### โ–ถ๏ธ Start now Enter a domain. Pick a country. Choose a sort order. Hit **Run**. Your real organic competitors โ€” ranked, structured, and ready to action. # Actor input Schema ## `q` (type: `string`): Domain name to analyze ## `db` (type: `string`): Database/region code ## `sort_by` (type: `string`): Sort results by ## Actor input object example ```json { "q": "example.com", "db": "us", "sort_by": "competition_level" } ``` # Actor output Schema ## `dataset` (type: `string`): All competitors returned by this run (JSON, CSV, Excel, HTML, RSS). # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "q": "example.com", "db": "us", "sort_by": "competition_level" }; // Run the Actor and wait for it to finish const run = await client.actor("pnda/semrush-competitor").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "q": "example.com", "db": "us", "sort_by": "competition_level", } # Run the Actor and wait for it to finish run = client.actor("pnda/semrush-competitor").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "q": "example.com", "db": "us", "sort_by": "competition_level" }' | apify call pnda/semrush-competitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=pnda/semrush-competitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Semrush Competitor", "description": "Get up to 200 real organic competitors for any domain: competition level, shared keywords, total ranking keywords, organic traffic, traffic value and paid-keyword overlap. 47 country markets, three sort strategies (competition, overlap, traffic). Clean flat data, pipeline-ready.", "version": "0.0", "x-build-id": "HFNljFltRabJH3oVS" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/pnda~semrush-competitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-pnda-semrush-competitor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/pnda~semrush-competitor/runs": { "post": { "operationId": "runs-sync-pnda-semrush-competitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/pnda~semrush-competitor/run-sync": { "post": { "operationId": "run-sync-pnda-semrush-competitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "q", "db" ], "properties": { "q": { "title": "Query", "type": "string", "description": "Domain name to analyze" }, "db": { "title": "Database", "enum": [ "us", "uk", "ca", "au", "br", "fr", "de", "it", "es", "nl", "se", "dk", "be", "no", "ie", "ar", "mx", "co", "cl", "pe", "in", "sg", "id", "ph", "my", "th", "vn", "jp", "hk", "cn", "tr", "za", "il", "sa", "ae", "pl", "cz", "ro", "hu", "at", "ch", "pt", "fi", "gr", "nz", "ru", "ua" ], "type": "string", "description": "Database/region code", "default": "us" }, "sort_by": { "title": "Sort By", "enum": [ "competition_level", "common_keywords", "traffic" ], "type": "string", "description": "Sort results by", "default": "competition_level" } } }, "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 } } } } } } } } } } ```