Pricing

from $1.00 / 1,000 processed items

Try for free

Go to Apify Store

Clean Web HTML to LLM-Ready Markdown Converter

Try for free

Deterministic, zero-latency converter that strips boilerplate, ads, and scripts from HTML into clean, token-efficient Markdown for LLM & RAG pipelines.

Pricing

from $1.00 / 1,000 processed items

Rating

0.0

(0)

Developer

Nadim Hider

Actor stats

Bookmarked

Total users

Monthly active users

13 days ago

Last modified

Categories

Security

You can access the Clean Web HTML to LLM-Ready Markdown Converter 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
  "openapi": "3.0.1",
  "info": {
    "version": "1.0",
    "x-build-id": "wBbE7qIeusuF9emWb"
  },
  "servers": [
    {
      "url": "https://api.apify.com/v2"
    }
  ],
  "paths": {
    "/acts/n4d.h1dr~html-to-llm-markdown/run-sync-get-dataset-items": {
      "post": {
        "operationId": "run-sync-get-dataset-items-n4d.h1dr-html-to-llm-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": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    },
    "/acts/n4d.h1dr~html-to-llm-markdown/runs": {
      "post": {
        "operationId": "runs-sync-n4d.h1dr-html-to-llm-markdown",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor and returns information about the initiated run in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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": {
                  "$ref": "#/components/schemas/runsResponseSchema"
                }
              }
            }
          }
        }
      }
    },
    "/acts/n4d.h1dr~html-to-llm-markdown/run-sync": {
      "post": {
        "operationId": "run-sync-n4d.h1dr-html-to-llm-markdown",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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",
        "properties": {
          "documents": {
            "title": "HTML Documents",
            "type": "array",
            "description": "List of HTML documents or raw page snippets to convert into clean, token-efficient Markdown.",
            "default": [
              {
                "source_id": "welcome-demo",
                "html": "<html><head><title>Welcome to LLM Markdown Converter</title><meta name=\"description\" content=\"Fast, deterministic text formatting for AI\"></head><body><header><nav><a href=\"#\">Home</a></nav></header><main><h1>AI Data Cleaning Made Easy</h1><p>This utility strips away bloated HTML tags, scripts, and navigation bars, leaving only pure, structured Markdown optimized for LLM context windows.</p><table><tr><th>Feature</th><th>Benefit</th></tr><tr><td>Boilerplate Removal</td><td>Saves up to 70% token costs</td></tr><tr><td>Deterministic</td><td>Zero hallucinations, 100% reliable</td></tr></table></main><footer>Copyright 2026</footer></body></html>"
              }
            ]
          },
          "strip_links": {
            "title": "Strip Links",
            "type": "boolean",
            "description": "If enabled, removes URL hyperlinks while retaining the anchor text, saving additional LLM tokens.",
            "default": false
          },
          "heading_style": {
            "title": "Heading Style",
            "enum": [
              "ATX",
              "UNDERLINE"
            ],
            "type": "string",
            "description": "ATX uses '#' for headings; UNDERLINE uses '===' and '---'.",
            "default": "ATX"
          },
          "extract_tables": {
            "title": "Format Markdown Tables",
            "type": "boolean",
            "description": "Formats HTML tables into standard GitHub-flavored Markdown tables.",
            "default": true
          }
        }
      },
      "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
                  },
                  "PROXY_UNBLOCKER_UNITS": {
                    "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
                  },
                  "PROXY_UNBLOCKER_UNITS": {
                    "type": "integer",
                    "example": 0
                  }
                }
              }
            }
          }
        }
      }
    }
  }
}

Clean Web HTML to LLM-Ready Markdown Converter OpenAPI definition

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 Clean Web HTML to LLM-Ready Markdown Converter from the options below:

OpenAPI.json

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:

Clean Web HTML to LLM-Ready Markdown Converter API in Python

Clean Web HTML to LLM-Ready Markdown Converter API in JavaScript

Clean Web HTML to LLM-Ready Markdown Converter API through CLI

Clean Web HTML to LLM-Ready Markdown Converter API

Website Content to Markdown for LLM Training

easyapi/website-content-to-markdown-for-llm-training

🚀 Transform web content into clean, LLM-ready Markdown! 📘 Scrape multiple pages, extract main content, and convert to Markdown format. Perfect for AI researchers, data scientists, and LLM developers. Fast, efficient, and customizable. Supercharge your AI training data today! 🌐📝🧠

EasyApi

341

5.0

(2)

Html to Markdown Converter

antonio_espresso/html-to-markdown-converter

Crawl a target URL and convert its HTML content into clean, structured Markdown with optional heading-based chunking.

Antonio Blago

🔥 FireScrape AI Website Content Markdown Scraper

mohamedgb00714/fireScraper-AI-Website-Content-Markdown-Scraper

Advanced web scraper powered by Crawlee and Puppeteer — extracts website content, converts it to Markdown, and structures it for LLM training datasets.

mohamed el hadi msaid

305

1.9

(2)

Website to Markdown Converter & Crawler for LLMs and RAG

s3nafps/ai-ready-webpage-extractor

Website to Markdown Crawler is an Apify Actor that turns web pages, docs sites and blogs into clean Markdown and RAG chunks for LLMs. $3 per 1,000 pages.

mohamed senator

Html To Markdown Converter 📄

powerful_bachelor/html-to-markdown-converter

📄✨ HTML to Markdown Converter transforms web pages into clean, portable Markdown. Simply input a URL to extract content while preserving structure, formatting, and media elements.🔄 Perfect for content repurposing, documentation, and creating readable, platform-independent text from any webpage! 🚀

Powerful Bachelor

Website to Markdown for LLM & RAG — Crawl4AI URL to Clean

bikram07/web-to-markdown-crawl4ai

Convert any URL, sitemap, or whole website into clean, LLM-ready Markdown for RAG, vector databases, and AI agents. Hosted Crawl4AI in a real Chromium browser — renders JavaScript and SPAs, strips boilerplate, and exports JSON/CSV. Callable over MCP from Claude and Cursor.

Bikram

HTML to Markdown Converter - Bulk Web Content to MD

santamaria-automations/html-to-markdown

Extract main article content from any website and convert to clean Markdown including headings, links, images, tables, and code blocks. Perfect for LLM training, AI pipelines, and documentation. Export data, run via API, schedule and monitor runs, or integrate with other tools.

NanoScrape

Tech Docs to LLM-Ready Markdown

hedelka/tech-docs-scraper

Scrapes technical documentation sites (Docusaurus, GitBook, MkDocs, ReadTheDocs) and converts them to clean, structured Markdown for RAG pipelines, LLM training, and AI assistants. Automatically detects documentation framework and removes navigation elements.

Dmitry Goncharov

Simple Website Scrapper (markdown format)

manojaditya64/simple-website-scrapper-markdown-format

A simple website scrapper that scrapes websites and converts it into markdown format which is easy to use with LLM. You can feed markdown data to LLM for easy analysis.