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 find CSS background images?

No. Background images live in stylesheets, not in the document, so they are outside what an HTML parse can see. Only img elements are extracted.

Can I use this to audit missing alt text?

Yes. Every image is listed with its alt value, so filtering the output for empty alt strings gives you the gaps in one pass.

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.

HTML image extractor

How it works

What this tool does

Sources are resolved against the base URL, so you get URLs you can actually fetch.
Lazy-loaded images that keep their URL in data-src are picked up too.
Alt text always comes through, including empty strings — which is exactly what you want for an accessibility audit.
srcset is preserved so you can pick the resolution you need.

HTML link 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")

data = {"images": [{"src": el["src"], "alt": el.get("alt", ""), "width": el.get("width"), "height": el.get("height")} for el in soup.select("img[src]")]}

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

HTML image 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