Competitor Intelligence
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Competitor Intelligence
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Robert Crupa
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Competitor Intelligence
Pricing
Pay per usage
Pricing
Pay per usage
Rating
0.0
(0)
Developer

Robert Crupa
Actor stats
0
Bookmarked
2
Total users
1
Monthly active users
a month ago
Last modified
Categories
Share
You can access the Competitor Intelligence programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
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Example: 'AI recipe app for home cooks that lets you chat with your recipes'" }, "productUrl": { "title": "Product URL (optional)", "type": "string", "description": "Your product's website URL - will be excluded from competitor results" }, "maxCompetitors": { "title": "Max Competitors", "minimum": 3, "maximum": 20, "type": "integer", "description": "Maximum number of competitors to discover (more = slower but more thorough)", "default": 10 }, "confidenceThreshold": { "title": "Confidence Threshold", "minimum": 0, "maximum": 1, "type": "number", "description": "Minimum confidence score (0-1) to include a competitor. Set to 0 to include all.", "default": 0 }, "maxPagesPerCompetitor": { "title": "Max Pages per Competitor", "minimum": 1, "maximum": 20, "type": "integer", "description": "Maximum pages to scrape from each competitor's website (homepage + linked pages).", "default": 10 }, "includeSocial": { "title": "Include Social Media Analysis", "type": "boolean", "description": "Scrape Twitter/X for mentions of each competitor and analyze sentiment. Adds ~$0.02 per competitor.", "default": true }, "modelName": { "title": "LLM Model", "enum": [ "openai/gpt-4o-mini", "openai/gpt-4o", "anthropic/claude-3-haiku", "anthropic/claude-3-5-sonnet", "openrouter/auto" ], "type": "string", "description": "The LLM model to use for analysis (via Apify OpenRouter).", "default": "openai/gpt-4o-mini" }, "startPhase": { "title": "Start from Phase", "minimum": 1, "maximum": 6, "type": "integer", "description": "Start from this phase (1=Discovery, 2=Scraping, 3=Analysis, 4=Profiles, 5=Strategy, 6=Web Only). Phases 2+ load data from previous run's cache.", "default": 1 }, "debug": { "title": "Debug Mode", "type": "boolean", "description": "Enable verbose logging for debugging.", "default": 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 } } } } } } } } }}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 Competitor Intelligence from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients: