| name | scrape |
| description | Scrape web content as clean markdown/HTML/JSON via the Bright Data CLI (`bdata scrape`). Use when the user wants to fetch a page, extract content from a list of URLs, or crawl paginated listings. Hands off to `data-feeds` for supported platforms (Amazon, LinkedIn, TikTok, Instagram, YouTube, Reddit, etc.) and to `search` when URLs must be discovered first. Requires the Bright Data CLI; proactively guides install + login if missing. |
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)"
fi
If 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:
bdata scrape "https://example.com/article" -f markdown -o article.md
bdata scrape "https://example.com" -f html -o page.html
bdata scrape "https://example.com" -f json --pretty -o page.json
bdata scrape "https://example.com" -f screenshot -o page.png
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 Denied
Just a moment
Attention Required
Checking your browser
captcha
cf-browser-verification
cloudflare (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 de if the origin site is US)
- Escalate to
bdata browser for full JS rendering (hand off to brightdata-cli skill)
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 scrape on Amazon/LinkedIn/TikTok/Instagram/YouTube/Reddit URLs — these are supported by data-feeds and return structured data directly. Scraping loses the structure.
- Scraping the same URL repeatedly in the same task — cache the first result.
- Looping
bdata scrape sequentially for large lists instead of using xargs -P 4 (or similar) with a parallelism cap.
- Using
curl against api.brightdata.com directly — 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, xargs parallelism, pagination recipe, retry/backoff, block-page recovery chain, legacy curl fallback.
references/examples.md — (1) single page → markdown, (2) batch a list of URLs with parallelism cap, (3) paginated listing, (4) block-page recovery.