sderosiaux
Indexé dans Registry
scrape-structured-data
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
Vue d’ensemble
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.
Lire la documentation complète
Documentation source, pas des instructions pour ce site. Vérifiez les permissions avant d’exécuter des commandes.
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.
Sites that need a login
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
extractfinds one pattern, the highest-scoring one. Pages with two equally strong lists need--selectorto 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,
evalwith a selector is the honest tool. - Clicking a download link doesn't work; get the href with
inspect --urlsand pass the URL tochrome-agent download.
Métadonnées du fichier
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"]
Voir le texte original
---
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`.
Examiner la source
Prix et coûts d’utilisation
- Obtenir le skill
- Prix non confirmé
- L’utiliser
- Prérequis non confirmés. Consultez les frais d’agent, d’API et de services à la source.
- Licence
- MIT
- Prix non confirmé
- Le prix n’est pas confirmé. Les liens existants vers les sources et l’installation restent disponibles.
Gratuit à obtenir ne signifie pas gratuit à utiliser. Le prix ne constitue pas une évaluation de sécurité. Soumettre un prix →
Source du skill enregistrée
Un chemin vers les instructions est enregistré. Cela ne constitue pas un test, une garantie de sécurité ou de compatibilité.
Réviser avant installation: Éviter l’installation automatique
Licence: 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
Les outils sont des indications de métadonnées, pas une compatibilité testée. Les prompts sont des suggestions.
Commencer par une petite tâche
- 1Lisez la source et confirmez entrées, résultats, dépendances et permissions.
- 2Demandez un plan à l’agent. Approuvez la configuration et les coûts avant un test isolé.
- 3Vérifiez résultats et fichiers modifiés. Signalez uniquement ce qui a été exécuté et conservez la révision source.
Vérifiez les dépendances, clés API et frais externes dans la source. Un dépôt public ne rend pas tous les services gratuits.
Source et conseils d’utilisation
Répertorié
Métadonnées et examens sont indicatifs. Popularité, découverte et exécution réussie sont des faits distincts.
- Dépôt source
- sderosiaux/chrome-agent
- Licence
- MIT
- Version
- 1.0.0
- Dernier push GitHub
- 30 août 2026
- Registre mis à jour
- 1 sept. 2026
- Chemin des instructions
- skills/scrape-structured-data/SKILL.md
Version déclarée dans le registre ; vérifiez les versions de la source.
Qualité
63/100
Prometteur
Confiance
53/100
Do not auto-install
Audit
70/100
Revue nécessaire
- 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
- Verified installs
- —
- Résultats
- —
Copier ne signifie pas installer. Les compteurs nécessitent un rapport de réussite et ne garantissent pas la qualité globale.
Accès agent
L’API Registry fournit les signaux de décision, confiance, audit, cas d’usage et installation sans analyser l’interface.
Plus de détails
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"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
"install_policy": "block",
"minimum_review_before_use": [
"Trust: 61/100 Manual review",
"Audit: 70/100 Needs review",
"Safety: 22/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "sderosiaux-scrape-structured-data (scrape-structured-data)",
"install_command": "npx skills add sderosiaux/chrome-agent --skill scrape-structured-data",
"risk_summary": "Needs review; Blocked for auto-install; Review before production",
"verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
}
},
"outcome_feedback": {
"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
"requires_resolve_event_id": true,
"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "sderosiaux-scrape-structured-data",
"task": "Use scrape-structured-data in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/sderosiaux-scrape-structured-data",
"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"
}
}Pour le créateur
Source de la fiche
Indexé par Registry
Cette fiche a été indexée à partir de sources publiques et n’est pas marquée officielle tant qu’une revendication de mainteneur n’est pas approuvée.
- Créateur
- sderosiaux
- Source
- sderosiaux/chrome-agent
- Indexé par
- Index communautaire OpenAgentSkill
L’attribution renvoie au dépôt public ou au profil du créateur. Les créateurs peuvent revendiquer la fiche pour mettre à jour les signaux de propriété.
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[](https://www.openagentskill.com/skills/sderosiaux-scrape-structured-data/audit)
[](https://www.openagentskill.com/skills/sderosiaux-scrape-structured-data?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Signal de communauté
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