使用方法
- 复制安装命令,在自己的智能体环境安装前先检查源码包。
- 从原始文档核对所需工具、凭据和支持的宿主。
- 说明输入材料与期望交付物,并对照来源检查输出。
npx skills add https://github.com/brightdata/skills --skill scrape开始前需了解
- 安装不包含模型订阅、API 额度或访问文件的权限。
- 仓库星数和安装量反映活跃情况,不等于独立质量或安全测试。
按源仓库内容呈现,保留标题、案例、代码、表格、链接以及原文引用的演示图片。
Bright Data — Scrape
Get clean content (markdown, HTML, JSON, screenshot) from one or more URLs via the Bright Data CLI. This skill owns the "fetch raw or lightly-structured content" job. For platform-specific structured data (Amazon, LinkedIn, TikTok, etc.), stop and use `data-feeds` instead — you'll get clean JSON without selector logic.
Setup gate (run first)
Before any scrape, verify the CLI is installed and authenticated:
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)"
fiIf either check fails, halt and route the user to skills/bright-data-best-practices/references/cli-setup.md. Do not attempt the legacy curl fallback silently — ask the user first.
Pick your path
| Situation | Action |
|---|---|
| Single URL | bdata scrape <url> -f markdown |
| Small list (≤ ~20 URLs) | shell loop, 1 at a time (see references/patterns.md) |
| Larger list (dozens+) | xargs -P 4 with parallelism cap (see references/patterns.md) |
| Paginated listing | scrape page 1 → extract next-page URL → append → repeat (see references/examples.md) |
| JS-heavy / login-gated / interaction-required | escalate to bdata browser (see brightdata-cli skill) |
| Amazon, LinkedIn, TikTok, Instagram, YouTube, Reddit, … | stop — hand off to `data-feeds` |
| No URL yet, just a topic | hand off to `search` |
Action
Core commands:
# Clean markdown (default)
bdata scrape "https://example.com/article" -f markdown -o article.md
# Raw HTML (when you need the DOM)
bdata scrape "https://example.com" -f html -o page.html
# Structured JSON (when the Unlocker returns parsed fields)
bdata scrape "https://example.com" -f json --pretty -o page.json
# Visual snapshot (saves PNG)
bdata scrape "https://example.com" -f screenshot -o page.png
# Geo-targeted (override the exit country)
bdata scrape "https://example.com" --country de -f markdown
Full flag reference: `references/flags.md`.
Verification gate (run before claiming success)
- Non-empty output:
test -s "$out_path"— or, for stdout, at least 200 bytes of content. - Not a block page — grep the output for any of these signatures (case-insensitive):
Access DeniedJust a momentAttention RequiredChecking your browsercaptchacf-browser-verificationcloudflare(with < 2KB total body)
- Expected markers present for the task: e.g., a product page should contain a price pattern (
\$\d); an article should contain at least one<h1>or#heading. - On failure, escalation ladder:
- Retry with a different
--country(e.g.,--country deif the origin site is US) - Escalate to
bdata browserfor full JS rendering (hand off tobrightdata-cliskill)
Do not report success until all checks above pass.
Red flags
- Claiming success without inspecting the output.
- Silencing errors with
2>/dev/null— you'll miss auth failures and rate-limit errors. - Running
bdata scrapeon Amazon/LinkedIn/TikTok/Instagram/YouTube/Reddit URLs — these are supported bydata-feedsand return structured data directly. Scraping loses the structure. - Scraping the same URL repeatedly in the same task — cache the first result.
- Looping
bdata scrapesequentially for large lists instead of usingxargs -P 4(or similar) with a parallelism cap. - Using
curlagainstapi.brightdata.comdirectly — legacy path; only when the CLI isn't available.
References
- `references/flags.md` — every flag with when-to-use notes.
- `references/patterns.md` — shell-loop batching,
xargsparallelism, pagination recipe, retry/backoff, block-page recovery chain, legacycurlfallback. - `references/examples.md` — (1) single page → markdown, (2) batch a list of URLs with parallelism cap, (3) paginated listing, (4) block-page recovery.


