# Web Page & PDF to Markdown (`prizable_aster/web-page-pdf-to-markdown`) Actor Converts public web pages and text-based PDFs into clean Markdown, plain text, and structured JSON. - **URL**: https://apify.com/prizable\_aster/web-page-pdf-to-markdown.md - **Developed by:** [Vaque Wei](https://apify.com/prizable_aster) (community) - **Categories:** Developer tools, Automation, AI - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.20 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Web Page & PDF to Markdown Convert public HTML pages and text-based PDFs into clean Markdown, plain text, and structured JSON. The Actor produces one predictable dataset item per input URL, making it easy to connect web content to AI agents, RAG pipelines, knowledge bases, and automation workflows. ### What it does - Accepts up to 100 public HTTP/HTTPS URLs per run - Detects HTML pages and PDFs automatically - Extracts readable Markdown and plain text - Follows up to five validated public redirects - Returns stable error codes instead of failing the whole batch - Optionally includes truncated raw HTML ### Common use cases - Prepare documentation pages for an AI knowledge base - Normalize public PDF handbooks for search and summarization - Convert articles into Markdown for content workflows - Feed clean text into RAG, MCP, Make, Zapier, or custom APIs ### Input ```json { "urls": [ "https://docs.apify.com/sdk/python/docs/quick-start", "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf" ], "maxItems": 10, "requestTimeoutSecs": 45, "maxOutputChars": 40000, "maxDownloadMbytes": 10, "includeRawHtml": false } ```` ### Output Each URL produces one default dataset item: ```json { "url": "https://example.com/article", "status": "ok", "sourceType": "html", "finalUrl": "https://example.com/article", "httpStatus": 200, "contentType": "text/html; charset=utf-8", "bytesDownloaded": 12345, "title": "Example article", "markdown": "# Example article\n\nClean content...", "text": "Example article\n\nClean content..." } ``` Failed URLs still produce a normalized item with `status: "error"`, a stable `errorCode`, and a readable `error` message. Other URLs in the batch continue processing. ### Safety and limitations - Only public HTTP and HTTPS URLs are accepted - Private, loopback, link-local, reserved, and credential-bearing URLs are blocked - Redirect destinations are validated before they are requested - Downloads are limited to 10 MB by default and 25 MB maximum - Scanned/image-only PDFs require OCR and are not supported in this version - The Actor does not log in, click through pages, or bypass access controls Only process content you are authorized to access and respect source website terms and applicable law. ### Local run ```powershell python -m venv .venv .\.venv\Scripts\python -m pip install -r requirements.txt .\.venv\Scripts\python -m src ``` ### Sync to Apify Set `APIFY_TOKEN` for the current shell, then run: ```powershell .\.venv\Scripts\python .\tools\deploy_actor.py ``` # Actor input Schema ## `urls` (type: `array`): Public page or PDF URLs to process. ## `maxItems` (type: `integer`): Optional cap on how many URLs to process from the input list. ## `requestTimeoutSecs` (type: `integer`): HTTP timeout used for downloading pages or PDFs. ## `maxOutputChars` (type: `integer`): Truncate extracted markdown/text to this many characters per item. ## `maxDownloadMbytes` (type: `integer`): Stop downloading a URL when its response exceeds this size. ## `includeRawHtml` (type: `boolean`): When enabled, store the fetched HTML in the output for HTML pages. ## Actor input object example ```json { "urls": [ "https://docs.apify.com/sdk/python/docs/quick-start" ], "maxItems": 10, "requestTimeoutSecs": 45, "maxOutputChars": 40000, "maxDownloadMbytes": 10, "includeRawHtml": false } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "urls": [ "https://docs.apify.com/sdk/python/docs/quick-start" ] }; // Run the Actor and wait for it to finish const run = await client.actor("prizable_aster/web-page-pdf-to-markdown").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "urls": ["https://docs.apify.com/sdk/python/docs/quick-start"] } # Run the Actor and wait for it to finish run = client.actor("prizable_aster/web-page-pdf-to-markdown").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "urls": [ "https://docs.apify.com/sdk/python/docs/quick-start" ] }' | apify call prizable_aster/web-page-pdf-to-markdown --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=prizable_aster/web-page-pdf-to-markdown", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Web Page & PDF to Markdown", "description": "Converts public web pages and text-based PDFs into clean Markdown, plain text, and structured JSON.", "version": "0.0", "x-build-id": "Aq5mh7uxcN99UmxKW" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/prizable_aster~web-page-pdf-to-markdown/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-prizable_aster-web-page-pdf-to-markdown", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/prizable_aster~web-page-pdf-to-markdown/runs": { "post": { "operationId": "runs-sync-prizable_aster-web-page-pdf-to-markdown", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/prizable_aster~web-page-pdf-to-markdown/run-sync": { "post": { "operationId": "run-sync-prizable_aster-web-page-pdf-to-markdown", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "urls" ], "properties": { "urls": { "title": "URLs", "minItems": 1, "maxItems": 100, "type": "array", "description": "Public page or PDF URLs to process.", "items": { "type": "string" } }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 100, "type": "integer", "description": "Optional cap on how many URLs to process from the input list.", "default": 10 }, "requestTimeoutSecs": { "title": "Request timeout (seconds)", "minimum": 5, "maximum": 180, "type": "integer", "description": "HTTP timeout used for downloading pages or PDFs.", "default": 45 }, "maxOutputChars": { "title": "Max output characters", "minimum": 1000, "maximum": 500000, "type": "integer", "description": "Truncate extracted markdown/text to this many characters per item.", "default": 40000 }, "maxDownloadMbytes": { "title": "Maximum download size (MB)", "minimum": 1, "maximum": 25, "type": "integer", "description": "Stop downloading a URL when its response exceeds this size.", "default": 10 }, "includeRawHtml": { "title": "Include raw HTML", "type": "boolean", "description": "When enabled, store the fetched HTML in the output for HTML pages.", "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 } } } } } } } } } } ```