Location Page Consistency Checker
Pricing
from $4.90 / 1,000 page auditeds
Go to Apify Store
Location Page Consistency Checker
Audit multi-location pages for consistent addresses, hours, schema, titles, and location content.
Location Page Consistency Checker
Pricing
from $4.90 / 1,000 page auditeds
Audit multi-location pages for consistent addresses, hours, schema, titles, and location content.
You can access the Location Page Consistency Checker programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "1.0", "x-build-id": "VUtFh9qmhHu2pUvHI" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/junipr~location-page-consistency-checker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-junipr-location-page-consistency-checker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/junipr~location-page-consistency-checker/runs": { "post": { "operationId": "runs-sync-junipr-location-page-consistency-checker", "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/junipr~location-page-consistency-checker/run-sync": { "post": { "operationId": "run-sync-junipr-location-page-consistency-checker", "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": { "targets": { "title": "Targets", "type": "array", "description": "Independent bounded source groups. Direct top-level source fields take precedence when supplied.", "items": { "type": "object" }, "default": [] }, "urls": { "title": "Public URLs", "type": "array", "description": "Public HTTP(S) pages or data sources to retrieve only when Fetch URLs is enabled.", "items": { "type": "string" }, "default": [] }, "sourceId": { "title": "Source ID", "type": "string", "description": "Stable identifier for a direct source group.", "default": "" }, "sourceUrl": { "title": "Source URL", "type": "string", "description": "One public HTTP(S) source URL for direct input.", "default": "" }, "html": { "title": "Html", "type": "string", "description": "Html used by the actor-specific analyzer.", "default": "" }, "records": { "title": "Records", "type": "array", "description": "Structured source rows. Each object is preserved and evaluated without enrichment.", "items": { "type": "object" }, "default": [] }, "expectedHours": { "title": "Expected Hours", "type": "string", "description": "Expected Hours used by the actor-specific analyzer.", "default": "" }, "expectedPhone": { "title": "Expected Phone", "type": "string", "description": "Expected Phone used by the actor-specific analyzer.", "default": "" }, "expectedSchemaType": { "title": "Expected Schema Type", "type": "string", "description": "Expected Schema Type used by the actor-specific analyzer.", "default": "" }, "fetchUrls": { "title": "Fetch URLs", "type": "boolean", "description": "Retrieve public HTTP(S) sources with redirect, private-address, timeout, and byte-limit controls.", "default": false }, "fetchTimeoutMs": { "title": "Fetch Timeout", "minimum": 1000, "maximum": 30000, "type": "integer", "description": "Per-source network timeout in milliseconds.", "default": 10000 }, "maxTargets": { "title": "Max Targets", "minimum": 1, "maximum": 20, "type": "integer", "description": "Maximum independent source groups processed in one run.", "default": 1 }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum source records, comparison rows, checks, or locations processed per target.", "default": 25 }, "maxTextBytes": { "title": "Max Source Bytes", "minimum": 1000, "maximum": 1000000, "type": "integer", "description": "Maximum bytes accepted from one fetched source.", "default": 500000 }, "includeReport": { "title": "Include Report", "type": "boolean", "description": "Write buyer-ready JSON and Markdown artifacts after report billing succeeds.", "default": true }, "dryRun": { "title": "Dry Run", "type": "boolean", "description": "Validate input without charges or paid dataset output.", "default": false }, "debug": { "title": "Debug Logs", "type": "boolean", "description": "Enable debug-level diagnostics.", "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 Location Page Consistency Checker 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: