# data-feeds

Pulls structured data off known sites through pre-built Bright Data scrapers. Useful when you want clean JSON instead of raw HTML.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 415 installs · ★ 268
- Author: brightdata
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/brightdata/skills/tree/HEAD/skills/data-feeds/SKILL.md
- Updated: 2026-10-15
- HTML: https://affpapa.org/en/nevibecode/skills/brightdata-data-feeds

## What it does

The skill sits on top of the Bright Data CLI: it searches for a matching scraper with `bdata pipelines search`, inspects its methods with `bdata pipelines info`, then runs `bdata pipelines run`. You write no scraping logic — it already lives inside the scraper. The `collect_by_url` method returns one record per input URL, while `discover_by_*` methods take a keyword or category URL and return up to `--limit-per-input` records per input.

The order is fixed: `search`, then `info`, then `run`. Never guess a `dataset_id`, method or field name — look them up every time, because two scrapers can share a name and differ only by `dataset_id` and domain. When no scraper fits the site, the skill hands off to `scrape`; when the target URLs still need to be found, it hands off to `search`.

You need Bright Data CLI 0.4.0 or later and a completed `bdata login`. Without authentication the skill halts and routes you to the setup reference. Long jobs such as reviews or big feeds go through `--async`, then `bdata pipelines status <snapshot_id> --wait` and `results`. One thing to watch: partial failures stay silent in the output, so the per-record `error` check is not optional.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add brightdata/skills --skill data-feeds -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/data-feeds/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/data-feeds/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add brightdata/skills --skill data-feeds -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/data-feeds/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add brightdata/skills --skill data-feeds -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/data-feeds/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install brightdata/skills data-feeds
```

2. **Manually: put the files in place**
- File: `.github/skills/data-feeds/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add brightdata/skills --skill data-feeds -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/brightdata/skills --path skills/data-feeds
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/data-feeds/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add brightdata/skills --skill data-feeds -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/brightdata/skills/tree/HEAD/skills/data-feeds/SKILL.md

## When to use it
- pull product listings from a known site into JSON
- collect job postings by keyword without parsing HTML
- grab reviews and posts with a cap on record count
- start a long collection run and fetch results later
- verify that no returned record carries an error

## Example prompts
- find a scraper for this site and dump the data for this URL into out.json
- collect job postings for this keyword, no more than 5 records per input
- run the reviews collection async and wait for the result

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 8fa901ae5339558c.

BEGIN THIRD-PARTY FILE 8fa901ae5339558c
````text
---
name: data-feeds
description: Extract structured data from thousands of pre-built Bright Data scrapers (e-commerce, social, jobs, maps, real estate and more) via the Bright Data CLI (`bdata pipelines search`, `info`, `run`). Use when the user wants clean JSON from a known site rather than raw HTML. Hands off to `scrape` when no scraper fits and to `search` when target URLs must be discovered first. Requires the Bright Data CLI 0.4.0+; proactively guides install + login if missing.
---

# Bright Data — Data Feeds (Pipelines)

Extract structured data via `bdata pipelines`: search for a pre-built scraper, check its inputs, run it, get clean JSON. No scraping logic. If no scraper fits, hand off to `scrape`. To find target URLs first, hand off to `search`.

## Setup gate (run first)

```bash
if ! command -v bdata >/dev/null 2>&1; then
    echo "bdata CLI not installed — see bright-data-best-practices/references/cli-setup.md"
elif ! bdata zones >/dev/null 2>&1; then
    echo "bdata not authenticated — run: bdata login  (or: bdata login --device for SSH)"
fi
```

Halt and route to `skills/bright-data-best-practices/references/cli-setup.md` if either check fails.

## Workflow (always search, then info, then run)

Requires CLI 0.4.0 or later. The fixed pipeline types (`bdata pipelines <type> <url>`), `bdata pipelines list` and top-level `bdata status` were removed. Never guess a `dataset_id`, method or field name: look them up every time.

```bash
# 1. Find a scraper by site or data type
bdata pipelines search <site or data type> [--limit n]

# 2. List its collection methods
bdata pipelines info <dataset_id>

# 3. Show one method's input fields, example input and a ready-to-run command
bdata pipelines info <dataset_id> <method>

# 4. Run it
bdata pipelines run <dataset_id> <method> <url> [--<field> <value>...]
```

- `search` returns `dataset_id`, name, domain and `collection_methods`. Two scrapers can share a name, so pick by `dataset_id` and domain.
- `collect_by_url` returns one record per input URL. `discover_by_*` methods (keyword, category URL, ...) return up to `--limit-per-input` records per input (default 10).
- Use method names exactly as listed, including misspelled ones.

Full command reference: [`../brightdata-cli/references/pipelines.md`](../brightdata-cli/references/pipelines.md).

## Pick your path

| Situation | Action |
|---|---|
| Know the site + have URL(s) | `search` for the scraper, `info`, then `run ... collect_by_url <url>...` |
| Don't know which scraper fits | `bdata pipelines search <site or data type>` and compare results |
````
END THIRD-PARTY FILE 8fa901ae5339558c

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