π£ SERP Share of Voice - Keyword Visibility Tracker
Pricing
from $10.00 / 1,000 brand trackeds
π£ Track your and competitors' position-weighted share of search visibility across a keyword set, over time. Works from SERP results you supply β the reliable path, since Google returns a JS shell to server-side requests. Optional Bing/DuckDuckGo live fetch.
You can access the π£ SERP Share of Voice - Keyword Visibility Tracker programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youβll need an Apify account and your API token, found in API & Integrations in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "1.0", "x-build-id": "gsQInFQ9hH4J6emOJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/that_red_bird~serp-share-of-voice/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-that_red_bird-serp-share-of-voice", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/that_red_bird~serp-share-of-voice/runs": { "post": { "operationId": "runs-sync-that_red_bird-serp-share-of-voice", "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/that_red_bird~serp-share-of-voice/run-sync": { "post": { "operationId": "run-sync-that_red_bird-serp-share-of-voice", "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": { "results": { "title": "SERP results (supplied by you)", "type": "array", "description": "The primary input path. An array of {\"keyword\": \"...\", \"rank\": 1, \"url\": \"https://...\", \"title\": \"...\"} rows from ANY SERP source or actor you already use. Google is deliberately not scraped here (it returns a JS shell to server-side requests) β bring your own results and this actor does the analytics.", "default": [ { "keyword": "best running shoes", "rank": 1, "url": "https://nike.com/running-shoes", "title": "Best Running Shoes | Nike" }, { "keyword": "best running shoes", "rank": 2, "url": "https://adidas.com/running", "title": "Running Shoes | adidas" }, { "keyword": "best running shoes", "rank": 3, "url": "https://runnersworld.com/gear/best-running-shoes", "title": "The Best Running Shoes, Tested - Runner's World" }, { "keyword": "marathon training plan", "rank": 1, "url": "https://adidas.com/training/marathon", "title": "Marathon Training Plan | adidas" }, { "keyword": "marathon training plan", "rank": 2, "url": "https://runnersworld.com/training/marathon-plan", "title": "Marathon Training Plan - Runner's World" }, { "keyword": "marathon training plan", "rank": 3, "url": "https://nike.com/marathon", "title": "Marathon Guide | Nike" } ] }, "brandMap": { "title": "Brand -> domains map", "type": "object", "description": "Maps each result URL to a brand. Format: {\"Your Brand\": [\"yourdomain.com\"], \"Competitor A\": [\"competitor-a.com\", \"blog.competitor-a.com\"]}. Subdomains are matched to the domain you list (e.g. shop.yourdomain.com matches yourdomain.com automatically) β you only need to list a subdomain explicitly if it belongs to a DIFFERENT brand than its parent domain.", "default": { "Nike": [ "nike.com" ], "adidas": [ "adidas.com" ], "Runner's World": [ "runnersworld.com" ] } }, "yourBrand": { "title": "Your brand name", "type": "string", "description": "The exact brand name (a key in brandMap) that head-to-head gaps and the summary's \"yourSoV\" are computed against. Leave blank to skip head-to-head rows.", "default": "Nike" }, "ctrCurve": { "title": "Position-weight curve override (basis points)", "type": "array", "description": "Optional override for the default position-weighting (CTR-style decay) curve. Array of integers in basis points (10000 = 100%), index 0 = rank 1. Apify input schemas have no float type, so this is expressed in basis points rather than a 0-1 fraction. Leave empty to use the documented default curve (rank 1 worth roughly 10-15x rank 10).", "default": [] }, "keywordVolumes": { "title": "Keyword search volumes (optional)", "type": "object", "description": "Optional. {\"keyword\": 1000, ...} monthly search volume per keyword. When supplied, each result's position weight is multiplied by its keyword's volume, so visibility on a high-volume term counts for more than the same rank on a rarely-searched one. Omit to weight every keyword equally.", "default": {} }, "fetchMode": { "title": "Live fetch mode", "enum": [ "supplied", "bing", "duckduckgo", "bing+duckduckgo" ], "type": "string", "description": "Secondary, optional path. \"supplied\" (default) uses only the results you pass in above β the reliable option. \"bing\"/\"duckduckgo\"/\"bing+duckduckgo\" additionally fetch live results server-side for the keywords you list below. Google is NOT an option: it serves a JavaScript shell (no organic results, no AI Overview) to server-side requests and cannot be scraped this way.", "default": "supplied" }, "keywords": { "title": "Keywords to fetch live", "type": "array", "description": "Only used when fetchMode is not \"supplied\". The keyword list to fetch live results for from Bing and/or DuckDuckGo.", "default": [], "items": { "type": "string" } }, "maxResultsPerKeyword": { "title": "Max results per keyword (live fetch)", "minimum": 1, "maximum": 50, "type": "integer", "description": "Upper bound on organic results parsed per keyword when fetchMode is not \"supplied\".", "default": 10 }, "country": { "title": "Country / market code (live fetch, optional)", "type": "string", "description": "Optional market hint passed to Bing (e.g. \"US\", \"GB\") when fetchMode includes bing. Ignored otherwise.", "default": "" }, "concurrency": { "title": "Concurrency (live fetch)", "minimum": 1, "maximum": 10, "type": "integer", "description": "How many keyword/source fetches to run in parallel when fetchMode is not \"supplied\".", "default": 3 }, "timeoutMs": { "title": "Fetch timeout (ms)", "minimum": 1000, "maximum": 60000, "type": "integer", "description": "Per-request timeout in milliseconds for live Bing/DuckDuckGo fetches.", "default": 15000 }, "onlyChanges": { "title": "Only output brands that moved", "type": "boolean", "description": "When true (and this isn't the first run), brand rows whose share-of-voice trend is \"flat\" are omitted from the dataset. Keyword, head-to-head and mover rows are always included.", "default": false }, "maxItems": { "title": "Max dataset rows", "minimum": 0, "type": "integer", "description": "Hard cap on rows pushed to the dataset this run. 0 = no cap.", "default": 0 }, "resetBaseline": { "title": "Reset baseline", "type": "boolean", "description": "Ignore any previously stored share-of-voice state and treat this run as a fresh first run (no movement, no dropout/new-entrant detection).", "default": false }, "keepHistory": { "title": "History length per brand", "minimum": 1, "maximum": 500, "type": "integer", "description": "How many past runs to keep in each brand's rolling share-of-voice history, so you can chart it over time without your own database.", "default": 60 }, "moversLimit": { "title": "Biggest movers to report", "minimum": 1, "maximum": 100, "type": "integer", "description": "How many keyword-level biggest-gain and biggest-loss rows to emit per run.", "default": 10 }, "stateStoreName": { "title": "State store name", "type": "string", "description": "Name of the named key-value store used to persist share-of-voice history between runs. Use a different name to run independent, non-interfering trackers (e.g. per client or per keyword set).", "default": "serp-share-of-voice-state" }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Optional Apify proxy configuration, used only for live Bing/DuckDuckGo fetches when fetchMode is not \"supplied\"." } } }, "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 }, "PROXY_UNBLOCKER_UNITS": { "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 }, "PROXY_UNBLOCKER_UNITS": { "type": "integer", "example": 0 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for π£ SERP Share of Voice - Keyword Visibility Tracker from the options below:
If youβd like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients: