Website to RAG Chunks
Pricing
from $0.25 / 1,000 results
Website to RAG Chunks
Crawl any website and turn its pages into clean, chunked, metadata-rich Markdown records ready for RAG pipelines, vector stores, and custom GPTs.
Website to RAG Chunks
Pricing
from $0.25 / 1,000 results
Crawl any website and turn its pages into clean, chunked, metadata-rich Markdown records ready for RAG pipelines, vector stores, and custom GPTs.
You can access the Website to RAG Chunks programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "1.1", "x-build-id": "2sgbohqCRMz4VjES3" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/cynix_dev~web-to-rag-chunks/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-cynix_dev-web-to-rag-chunks", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/cynix_dev~web-to-rag-chunks/runs": { "post": { "operationId": "runs-sync-cynix_dev-web-to-rag-chunks", "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/cynix_dev~web-to-rag-chunks/run-sync": { "post": { "operationId": "run-sync-cynix_dev-web-to-rag-chunks", "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", "required": [ "startUrls" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "Public web pages to crawl and convert into RAG-ready chunks.", "default": [ { "url": "https://docs.apify.com/platform" } ], "items": { "type": "string" } }, "maxCrawlDepth": { "title": "Max crawl depth", "minimum": 0, "maximum": 10, "type": "integer", "description": "How many link levels to follow from each start URL. 0 = only the start URLs.", "default": 1 }, "maxPages": { "title": "Max pages", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Hard cap on total pages crawled per run.", "default": 50 }, "sameDomainOnly": { "title": "Same domain only", "type": "boolean", "description": "Only follow links that stay on the same domain as the start URL.", "default": true }, "includeGlobs": { "title": "Include URL globs", "type": "array", "description": "Only enqueue URLs matching these glob patterns (e.g. https://site.com/docs/**).", "default": [], "items": { "type": "string" } }, "excludeGlobs": { "title": "Exclude URL globs", "type": "array", "description": "Skip URLs matching these glob patterns.", "default": [], "items": { "type": "string" } }, "chunkSize": { "title": "Chunk size (chars)", "minimum": 200, "maximum": 20000, "type": "integer", "description": "Target maximum characters per chunk (~4 chars per token).", "default": 1000 }, "chunkOverlap": { "title": "Chunk overlap (chars)", "minimum": 0, "maximum": 5000, "type": "integer", "description": "Characters of overlap carried between consecutive chunks for context continuity.", "default": 150 }, "minChunkChars": { "title": "Minimum chunk chars", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Drop or merge chunks smaller than this size.", "default": 200 }, "useSitemap": { "title": "Discover URLs from sitemap", "type": "boolean", "description": "Fetch and parse sitemap.xml to discover all crawlable URLs before starting. Respects include/exclude globs.", "default": false }, "sitemapUrls": { "title": "Custom sitemap URLs", "type": "array", "description": "Additional sitemap URLs to fetch (e.g. https://site.com/sitemap-docs.xml). Auto-discovers /sitemap.xml if empty.", "default": [], "items": { "type": "string" } }, "extractPdfs": { "title": "Extract PDF content", "type": "boolean", "description": "Download and extract text from PDF links found during crawl (uses pdf-parse). Adds PDF chunks to dataset.", "default": false }, "maxPdfPages": { "title": "Max PDF pages to extract", "minimum": 0, "maximum": 500, "type": "integer", "description": "Limit pages extracted per PDF (0 = all).", "default": 50 }, "includeHeadingPath": { "title": "Include heading hierarchy path", "type": "boolean", "description": "Add headingPath array to each chunk showing the H1->H2->H3... ancestry for better citation context.", "default": true }, "enrichMetadata": { "title": "Enrich with page metadata", "type": "boolean", "description": "Extract Open Graph, Twitter Card, JSON-LD, and meta tags as additional chunk metadata.", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify Proxy configuration for blocked sites." } } }, "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 Website to RAG Chunks 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: