scrape-structured-data: Research & Knowledge for AI Agents | OpenAgentSkill

Overview

Get the repeating records off a web page (product grids, search results, job listings, news feeds, tables) as JSON, without writing CSS selectors and without spending a model call to read the HTML. Works on sites with no API, including ones behind a login or bot protection. Runs locally, one binary, no API key. Use when the user says scrape, extract the list of, get all the products/results/posts from, turn this page into JSON, or asks for data from a site that has no API.

Read full documentation

Source documentation, not instructions for this website. Review permissions before running any commands.

Scrape structured data from a page

chrome-agent extract finds the repeating record pattern on a page and returns it as JSON. You don't write selectors and you don't read the HTML into the model to find them.

Install check

which chrome-agent || npm install -g chrome-agent

The whole thing

chrome-agent goto https://news.ycombinator.com
chrome-agent --json extract --limit 50

{"count":30,"pattern":"TR","items":[
  {"title":"PGSimCity - How PostgreSQL Works","url":"https://nikolays.github.io/PGSimCity/","fields":["..."]},
  ...
]}

Check count against what the page actually shows. If it's wildly off, the page has more than one repeating pattern and you should scope it. See below.

Why not just read the page

On the Hacker News front page, measured with ./scripts/measure.sh:

approach	tokens	what you get
`extract --limit 30`	~1,570	all 30 stories as records with URLs
`inspect` (accessibility tree)	~5,650	the tree, stories mixed into the page chrome
raw HTML	~8,730	everything, including markup you'll never read

All three contain the same 30 stories. Only the first hands them over as records; the others hand over the page and leave the model to find the stories in it, which costs twice — once in input tokens, again in the reasoning to parse them.

That's 5.6x against raw HTML and 3.6x against the accessibility tree on this page. It is not always that wide: on a blog archive that is nothing but a list, extract returns ~12,500 tokens against ~16,100 for the tree, because there's little page chrome to strip. The win comes from pages where the records sit inside a lot of other markup.

When extract returns nothing

It looks for a repeating pattern, so a page without one gives you an empty list and a hint. That's the correct answer for an article or a landing page. Fall back in this order:

chrome-agent read                          # articles, blog posts, via Mozilla Readability
chrome-agent text --selector "main"        # scoped visible text
chrome-agent eval "JSON.stringify([...document.querySelectorAll('.x')].map(e=>e.textContent))"
chrome-agent network --filter "api"        # the page called an API: take the payload instead

network is worth trying early on any site that loads its data over XHR. The JSON the page fetched is cleaner than anything scraped out of the rendered DOM.

Scoping when a page has several patterns

chrome-agent extract --selector ".product-grid"     # restrict to one container
chrome-agent extract --limit 100                    # default is 10

Lazy loading and infinite scroll

chrome-agent extract --scroll                # scrolls, waits for new nodes, then extracts
chrome-agent extract --a11y --scroll --limit 50   # React/SPA feeds where the DOM is noise

--a11y reads the accessibility tree instead of the DOM. Use it when a site renders into nested generated <div>s (X.com, most React apps) and plain extract returns junk.

chrome-agent --copy-cookies goto https://app.example.com/reports
chrome-agent --json extract

--copy-cookies reads cookies from your real Chrome profile, so anything you're already logged into in your browser works here. On macOS the OS will prompt for Keychain access, and that prompt is the consent step. It can't be skipped silently.

Sites that block automation

chrome-agent --stealth goto https://example.com     # Cloudflare, Turnstile
chrome-agent --connect http://127.0.0.1:9222 goto https://example.com   # DataDome, Kasada

For --connect, the user launches their own Chrome first: google-chrome --remote-debugging-port=9222. That's a real browser with a real fingerprint, which is what the hardest protections check.

Output

--json gives {"ok":true,"count":N,"pattern":"...","items":[...]}. Each item has title, url when there is one, and fields with the rest of the row's text. Errors exit 1 and still print JSON on stdout with an error and a hint.

Limits worth knowing

extract finds one pattern, the highest-scoring one. Pages with two equally strong lists need --selector to pick.
It reads what's rendered. Content that only appears on hover or after a click isn't there until you click it.
Record fields are positional text, not a typed schema. If you need specific attributes, eval with a selector is the honest tool.
Clicking a download link doesn't work; get the href with inspect --urls and pass the URL to chrome-agent download.

View source ↗

File metadata

name: scrape-structured-data
description: Get the repeating records off a web page (product grids, search results, job listings, news feeds, tables) as JSON, without writing CSS selectors and without spending a model call to read the HTML. Works on sites with no API, including ones behind a login or bot protection. Runs locally, one binary, no API key. Use when the user says scrape, extract the list of, get all the products/results/posts from, turn this page into JSON, or asks for data from a site that has no API.
metadata:
  author: sderosiaux
  version: "0.14.0"
  tags: ["scraping", "extract", "data", "json", "web"]

View original text

---
name: scrape-structured-data
description: Get the repeating records off a web page (product grids, search results, job listings, news feeds, tables) as JSON, without writing CSS selectors and without spending a model call to read the HTML. Works on sites with no API, including ones behind a login or bot protection. Runs locally, one binary, no API key. Use when the user says scrape, extract the list of, get all the products/results/posts from, turn this page into JSON, or asks for data from a site that has no API.
metadata:
author: sderosiaux
version: "0.14.0"
tags: ["scraping", "extract", "data", "json", "web"]
---

# Scrape structured data from a page

`chrome-agent extract` finds the repeating record pattern on a page and returns it as
JSON. You don't write selectors and you don't read the HTML into the model to find them.

## Install check

```bash
which chrome-agent || npm install -g chrome-agent
```

## The whole thing

```bash
chrome-agent goto https://news.ycombinator.com
chrome-agent --json extract --limit 50
```

```json
{"count":30,"pattern":"TR","items":[
{"title":"PGSimCity - How PostgreSQL Works","url":"https://nikolays.github.io/PGSimCity/","fields":["..."]},
...
]}
```

Check `count` against what the page actually shows. If it's wildly off, the page has
more than one repeating pattern and you should scope it. See below.

## Why not just read the page

On the Hacker News front page, measured with `./scripts/measure.sh`:

| approach | tokens | what you get |
|---|---|---|
| `extract --limit 30` | ~1,570 | all 30 stories as records with URLs |
| `inspect` (accessibility tree) | ~5,650 | the tree, stories mixed into the page chrome |
| raw HTML | ~8,730 | everything, including markup you'll never read |

All three contain the same 30 stories. Only the first hands them over as records; the
others hand over the page and leave the model to find the stories in it, which costs
twice — once in input tokens, again in the reasoning to parse them.

That's 5.6x against raw HTML and 3.6x against the accessibility tree on this page. It is
not always that wide: on a blog archive that is nothing *but* a list, `extract` returns
~12,500 tokens against ~16,100 for the tree, because there's little page chrome to strip.
The win comes from pages where the records sit inside a lot of other markup.

## When extract returns nothing

It looks for a repeating pattern, so a page without one gives you an empty list and a
hint. That's the correct answer for an article or a landing page. Fall back in this order:

```bash
chrome-agent read # articles, blog posts, via Mozilla Readability
chrome-agent text --selector "main" # scoped visible text
chrome-agent eval "JSON.stringify([...document.querySelectorAll('.x')].map(e=>e.textContent))"
chrome-agent network --filter "api" # the page called an API: take the payload instead
```

`network` is worth trying early on any site that loads its data over XHR. The JSON the
page fetched is cleaner than anything scraped out of the rendered DOM.

## Scoping when a page has several patterns

```bash
chrome-agent extract --selector ".product-grid" # restrict to one container
chrome-agent extract --limit 100 # default is 10
```

## Lazy loading and infinite scroll

```bash
chrome-agent extract --scroll # scrolls, waits for new nodes, then extracts
chrome-agent extract --a11y --scroll --limit 50 # React/SPA feeds where the DOM is noise
```

`--a11y` reads the accessibility tree instead of the DOM. Use it when a site renders into
nested generated `<div>`s (X.com, most React apps) and plain `extract` returns junk.

## Sites that need a login

```bash
chrome-agent --copy-cookies goto https://app.example.com/reports
chrome-agent --json extract
```

`--copy-cookies` reads cookies from your real Chrome profile, so anything you're already
logged into in your browser works here. On macOS the OS will prompt for Keychain access, and
that prompt is the consent step. It can't be skipped silently.

## Sites that block automation

```bash
chrome-agent --stealth goto https://example.com # Cloudflare, Turnstile
chrome-agent --connect http://127.0.0.1:9222 goto https://example.com # DataDome, Kasada
```

For `--connect`, the user launches their own Chrome first:
`google-chrome --remote-debugging-port=9222`. That's a real browser with a real
fingerprint, which is what the hardest protections check.

## Output

`--json` gives `{"ok":true,"count":N,"pattern":"...","items":[...]}`. Each item has
`title`, `url` when there is one, and `fields` with the rest of the row's text. Errors
exit 1 and still print JSON on stdout with an `error` and a `hint`.

## Limits worth knowing

- `extract` finds *one* pattern, the highest-scoring one. Pages with two equally strong
lists need `--selector` to pick.
- It reads what's rendered. Content that only appears on hover or after a click isn't there
until you click it.
- Record fields are positional text, not a typed schema. If you need specific attributes,
`eval` with a selector is the honest tool.
- Clicking a download link doesn't work; get the href with `inspect --urls` and pass the
URL to `chrome-agent download`.

Review the source

Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

License: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
The skill relies on an external binary (chrome-agent) that must be installed; the SKILL.md provides an install check but does not guarantee availability in all environments.
The skill includes commands that can bypass bot protection (--stealth, --connect) and access user cookies (--copy-cookies), which could be misused if the skill is invoked without user awareness, though the documentation clearly states consent steps.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 80 GitHub stars
Stars/forks activity: 80 stars, 15 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Open full audit

Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.

Start with one small task

Source & usage notes

Indexed

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository: sderosiaux/chrome-agent
License: MIT
Version: 1.0.0
Last GitHub push: Aug 30, 2026
Registry updated: Sep 1, 2026
Instruction path: skills/scrape-structured-data/SKILL.md

Version reported in registry metadata; check source releases before relying on it.

Quality

66/100

Promising

Trust

55/100

Do not auto-install

Agent access

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open install API LLM text format Open manifest Auto-resolve Plan

More details

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    "api": "https://www.openagentskill.com/api/agent/skills/sderosiaux-scrape-structured-data",
    "audit": "https://www.openagentskill.com/skills/sderosiaux-scrape-structured-data/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=sderosiaux-scrape-structured-data&task=Use%20scrape-structured-data%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20scrape-structured-data%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20scrape-structured-data%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/sderosiaux-scrape-structured-data/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/sderosiaux-scrape-structured-data"
  }
}

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Creator: sderosiaux
Source: sderosiaux/chrome-agent
Indexed by: OpenAgentSkill community index

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