Local Landing Page QA
Pricing
from $4.90 / 1,000 page auditeds
Go to Apify Store
Local Landing Page QA
Audit city/service landing pages for metadata, structure, internal links, schema, and content quality signals.
Local Landing Page QA
Pricing
from $4.90 / 1,000 page auditeds
Audit city/service landing pages for metadata, structure, internal links, schema, and content quality signals.
You can access the Local Landing Page QA 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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true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "targets": { "title": "Landing pages", "maxItems": 50, "type": "array", "description": "Source objects to inspect for this run.", "items": { "type": "object", "additionalProperties": false, "properties": { "sourceId": { "type": "string", "title": "Source ID", "description": "Stable identifier for this source or record." }, "sourceUrl": { "type": "string", "title": "Source URL", "description": "Public source URL for this item." }, "url": { "type": "string", "title": "URL", "description": "Public URL for this item." }, "title": { "type": "string", "title": "Title", "description": "Title for this item." }, "locationName": { "type": "string", "title": "Location name", "description": "Location display name." }, "city": { "type": "string", "title": "City", "description": 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{ "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 } } }, 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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 Local Landing Page QA from the options below:
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