feather-data-extraction
Use when reading or scraping content from a web page through Feather Browser — pulling text, links, structured fields, or a list of items.
Skill by ROI-DANINO
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/roi-danino-feather-data-extraction
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: documents, data, writing
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/feather-data-extraction
What's inside
- Skill name
feather-data-extraction- Description
- Use when reading or scraping content from a web page through Feather Browser — pulling text, links, structured fields, or a list of items. Covers snapshot (cleaned markdown) for reading, and extract recipes for structured/repeating data, plus the first-match limit. Triggers on "scrape", "extract data", "read the page", "get the content", "pull the list", "grab the links", "what does this page say", "collect the items".
- License
- Apache-2.0
- Instructions
- 78 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Feather: Data Extraction
Builds on **using-feather-browser**. This is the *reading* side of the loop: `observe` is for
acting (refs, overlays, diff); **snapshot** is for reading a page, **extract** for pulling
structured fields. Don't use `observe { includeText: true }` for reading — it caps at 4k chars;
snapshot is the read tool.
## Reading a page → snapshot
For "what's on this page" / "summarize this" / "get the text or links":
```http
POST /v1/sessions/:sessionId/snapshot {}
```
Returns:
- `markdown` — cleaned page content (nav/header/footer/ads/scripts stripped), capped at 20k chars.
**This is your primary read** — it's the human-readable content, not raw HTML.
- `text` — plain text (also capped; tune with `limits.textChars`).
- `links` — `[{ text, href }]` (tune with `limits.links`).
- `title`, `url`, `meta.description`.
```http
POST /v1/sessions/:sessionId/snapshot { "limits": { "textChars": 50000, "links": 500 } }
```
(`markdown`'s 20k cap is fixed and not request-configurable.)
## Pulling structured fields → extract
For named fields off the page:
```http
POST /v1/sessions/:sessionId/extract
{ "recipe": { "fields": {
"title": { "selector": "h1", "type": "text" },
"price": { "selector": ".price", "type": "text" },
"image": { "selector": "img.hero", "type": "attribute", "attribute": "src" }
} } }
```
- `type: "text"` grabs the element's text; `type: "attribute"` grabs the named `attribute`;
`type: "value"` grabs an **input/textarea/select's current value** — what's typed in the box,
which text reads can't see. Use it to verify a form before submitting (no screenshot detour).
- `type` is optional: defaults to `"text"`, inferred as `"attribute"` when `attribute` is present.
A flat `{ "fields": { … } }` body without the `recipe` wrapper is also accepted.
- **Each field selector resolves to its FIRST match.** This is intentional (no strict-mode crash on
multiple matches) — but it means you can't collect a whole list with one top-level selector.
## Collecting a list / repeating rows
Because each field is first-match, scope to a row. Two approaches:
1. **Scope selectors to a container** so each call targets one row, iterating containers by index via
the page, or
2. **Snapshot's `markdown`/`links`** — for simple lists (article links, nav items), the `links`
array or the markdown's bullet lists are often all you need, no recipe required.
For genuinely repeating structured rows, snapshot first to understand the row markup, then extract
per-row with scoped selectors.
## Choosing the right tool
| Goal | Tool |
|------|------|
| "Read / summarize this page" | `snapshot` → `markdown` |
| "Get all the links" | `snapshot` → `links` |
| "Get these specific named fields" | `extract` with a recipe |
| "Get a list of items" | `snapshot` (markdown/links) first; `extract` per-row if structured |
| "Find then click a result" (e.g. a Google SERP) | `observe` — results are self-describing action entries (title + source + URL in `name`); click by ref, no href-extraction detour |
## Gotchas
- **extract is first-match only** — don't expect arrays from one selector; scope per row.
- **markdown is capped at 20k** — for very long pages, target the section you need or use `extract`.
- **Snapshot after navigation/interaction** — stale reads come from reading before the page settled;
pair with `wait { until: "stable" }` if content loads async.
- **A consent wall in the way?** `dismiss` first (see using-feather-browser), then snapshot — the
overlay's text pollutes reads.
- **Verify extracted facts semantically** — "next holiday" means after *today*; resolve relative
dates against the current date before writing them anywhere.From ROI-DANINO/feather-browser, Apache-2.0.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jun 10, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/ROI-DANINO/feather-browser
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
feather-data-extraction skill. Agent Mart. https://agentmart.dev/skills/roi-danino-feather-data-extraction (last updated 2026-10-24)