Is my HTML uploaded anywhere?

No. Parsing and extraction run in your browser with JavaScript. Nothing is sent to Irmu's servers, nothing is stored and nothing is logged.

Does it validate against schema.org?

No. This extracts and parses the blocks; it does not check that the types and required properties are correct. Google's Rich Results Test is the right tool for validation.

What about microdata and RDFa?

Not covered here — only JSON-LD script blocks, which is what the overwhelming majority of modern sites use. Microdata lives in attributes across the document and needs a different parse.

Can I paste a URL instead of HTML?

Not here — a browser cannot fetch arbitrary pages because of cross-origin restrictions, and pretending otherwise would mean quietly proxying your traffic. Fetching pages is what the Irmu API does: it handles rendering, proxies and retries, and returns HTML you can run through this same extraction.

JSON-LD extractor

How it works

What this tool does

Arrays and @graph blocks are flattened so each entity appears as its own item.
Invalid JSON-LD is reported rather than silently dropped, with the first part of the offending block so you can find it.
The fastest way to see what a competitor's product pages actually declare: price, availability, ratings.
Structured data is often richer and cleaner than the visible page — scrape it before you scrape the DOM.

HTML metadata extractor HTML to JSON

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")

import json

data = {"jsonld": []}
for script in soup.select('script[type="application/ld+json"]'):
    try:
        parsed = json.loads(script.string or "")
    except json.JSONDecodeError:
        continue
    data["jsonld"].extend(parsed if isinstance(parsed, list) else [parsed])

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

JSON-LD extractor

What this tool does

When you also need to fetch the page

Do the same thing in your own pipeline

Questions about this tool

Turn any URL into clean JSON