Irmu
Free tool

HTML to JSON

Paste HTML, get JSON. Structured page data by default — metadata, headings, links, images, tables, lists, JSON-LD, text and Markdown — plus schema extraction, AI-ready output and a raw DOM tree when you need them.

HTML input
JSON output
0 B · 0 linesExtracted locally in your browser — nothing is uploaded.
How it works

What this tool does

  • Structured is the default because it is what most people actually want: the content of the page, not its internal representation.
  • Schema mode turns a handful of CSS selectors into exactly the JSON shape you asked for — no post-processing.
  • AI-ready mode chunks the page by heading and emits Markdown plus metadata, sized for embeddings and RAG.
  • DOM mode is there when you genuinely need the tree, with a depth cap so the output stays inspectable.
HTML metadata extractorHTML table extractorHTML to AI-ready JSONHTML to Markdown
With Irmu

When you also need to fetch the page

A browser cannot fetch arbitrary URLs. Irmu returns the HTML — rendering, proxies and retries included — and you run the same extraction over it.

crawl_and_extract.py
# 1. Fetch the page with Irmu — rendering, proxies and retries handled for you
# 2. Extract the fields you need locally

import os, json, requests
from bs4 import BeautifulSoup

resp = requests.get(
    "https://app.irmu.com/api/crawl",
    headers={"Authorization": f"Bearer {os.environ['IRMU_API_KEY']}"},
    params={"url": "https://store.example.com/products/acme-headphones", "render": "true"},
    timeout=60,
)
resp.raise_for_status()

soup = BeautifulSoup(resp.text, "html.parser")

data = {
    "name": soup.select_one("h1").get_text(strip=True),
    "price": soup.select_one(".price").get_text(strip=True),
    "reviews": [r.get_text(strip=True) for r in soup.select(".review")],
}

print(json.dumps(data, indent=2))
Code examples

Do the same thing in your own pipeline

The equivalent extraction with the standard HTML parser in each language.

# pip install beautifulsoup4

import json
from bs4 import BeautifulSoup

soup = BeautifulSoup(html, "html.parser")

data = {
    "title": soup.title.get_text(strip=True) if soup.title else None,
    "description": (soup.find("meta", attrs={"name": "description"}) or {}).get("content"),
    "headings": {
        f"h{level}": [h.get_text(strip=True) for h in soup.find_all(f"h{level}")]
        for level in range(1, 4)
    },
    "links": [
        {"text": a.get_text(strip=True), "href": a["href"]}
        for a in soup.select("a[href]")
    ],
    "images": [{"src": i.get("src"), "alt": i.get("alt", "")} for i in soup.find_all("img")],
    "jsonld": [
        __import__("json").loads(s.string)
        for s in soup.select('script[type="application/ld+json"]')
        if s.string
    ],
}

print(json.dumps(data, indent=2))
Schema mode

Extract only the fields you need

Name a field, point it at a CSS selector, get exactly that shape back. Here is the same idea in code.

# pip install beautifulsoup4

import json
from bs4 import BeautifulSoup

soup = BeautifulSoup(html, "html.parser")

schema = {
    "name": ("h1", False),
    "price": (".price", False),
    "availability": (".stock", False),
    "reviews": (".review", True),
}

data = {}
for field, (selector, is_list) in schema.items():
    nodes = soup.select(selector)
    if is_list:
        data[field] = [n.get_text(strip=True) for n in nodes]
    else:
        data[field] = nodes[0].get_text(strip=True) if nodes else None

print(json.dumps(data, indent=2))
FAQ

Questions about this tool

Turn any URL into clean JSON

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