Internal Link Opportunity Mapper
Pricing
from $6.50 / 1,000 source processeds
Go to Apify Store
Internal Link Opportunity Mapper
Suggest internal link opportunities based on crawl text, pages, topics, anchors, and site graph context.
Internal Link Opportunity Mapper
Pricing
from $6.50 / 1,000 source processeds
Suggest internal link opportunities based on crawl text, pages, topics, anchors, and site graph context.
You can access the Internal Link Opportunity Mapper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "1.0", "x-build-id": "vIIRQgdMeg3tl2UsL" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/junipr~internal-link-opportunity-mapper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-junipr-internal-link-opportunity-mapper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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~internal-link-opportunity-mapper/runs": { "post": { "operationId": "runs-sync-junipr-internal-link-opportunity-mapper", "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~internal-link-opportunity-mapper/run-sync": { "post": { "operationId": "run-sync-junipr-internal-link-opportunity-mapper", "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": { "records": { "title": "Records To Check", "type": "array", "description": "Records, snapshots, or source observations to process. Defaults to a tiny deterministic fixture.", "items": { "type": "object" }, "default": [ { "sourceId": "link-opp-1", "sourceUrl": "https://example.com/blog/roof-maintenance", "title": "Roof maintenance article to repair service page", "description": "Topic gap found. Suggested anchor internal link from roof maintenance article to roof repair service page.", "category": "internal links", "keywords": [ "anchor", "internal link" ], "metadata": { "sourcePage": "/blog/roof-maintenance", "targetPage": "/services/roof-repair", "anchorSuggestion": "roof repair service", "score": 82, "sourceText": "Inspect roof damage and choose a roof repair service before leaks spread.", "targetText": "Roof repair service for storm damage, active leaks, and inspection findings.", "existingLinks": [ "/contact" ], "targetInboundLinkCount": 1 } }, { "sourceId": "link-opp-thin", "sourceUrl": "https://example.com/blog/thin", "title": "Unmapped topic gap", "description": "Potential internal link opportunity without targetPage metadata.", "category": "internal links", "keywords": [ "topic gap" ], "metadata": { "sourcePage": "/blog/thin", "anchorSuggestion": "service guide" } } ] }, "urls": { "title": "URLs To Fetch", "type": "array", "description": "Optional URLs reserved for live fetching when Fetch URLs is true.", "items": { "type": "string" }, "default": [] }, "fetchUrls": { "title": "Fetch URLs", "type": "boolean", "description": "Fetch sourceUrl text over HTTP. Default is false for deterministic local runs.", "default": false }, "fetchTimeoutMs": { "title": "Fetch Timeout (ms)", "minimum": 1000, "maximum": 30000, "type": "integer", "description": "Timeout for each bounded HTTP request.", "default": 12000 }, "watchTerms": { "title": "Watch Terms", "type": "array", "description": "Keywords or topics used to flag relevant records.", "items": { "type": "string" }, "default": [ "anchor", "topic gap", "internal link" ] }, "includeReport": { "title": "Include Report Artifacts", "type": "boolean", "description": "Write JSON and Markdown report artifacts to the key-value store.", "default": true }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum records to process in one run.", "default": 2 }, "maxTextBytes": { "title": "Max Text Bytes", "minimum": 100, "maximum": 2000000, "type": "integer", "description": "Maximum searchable text bytes per record.", "default": 500000 }, "dryRun": { "title": "Dry Run", "type": "boolean", "description": "Validate input and write a dry-run summary without PPE charges or dataset output.", "default": false }, "debug": { "title": "Debug Logs", "type": "boolean", "description": "Enable debug logging.", "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 Internal Link Opportunity Mapper 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: