brightdata/skills

scrape

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.

All-time #1437 First seen Feb 10, 2026
8-week activity · all time api

Installation

$ npx skills add brightdata/skills --skill scrape

Summary

  • Fetch clean markdown, HTML, JSON, or screenshots from one or more URLs via Bright Data CLI.
  • Supports single URLs, batched lists with parallelism, and paginated crawls; outputs markdown, HTML, JSON, or PNG screenshots Requires Bright Data CLI installation and authentication; skill verifies setup and guides login if needed Includes built-in block-page detection and escalation to browser automation for JavaScript-heavy or login-gated content Hands off to data-feeds for platform-specific extraction (Amazon, LinkedIn, TikTok, Instagram, YouTube, Reddit) and to search when URLs must be discovered first

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Also in this package

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 257
License LICENSE
Default branch main
Open issues 3
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 4,667 B
  • docs SUMMARY.md 3,955 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 10,718 installs

SKILL.md

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:

# 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](references/flags.md).

Verification gate (run before claiming success)

  1. Non-empty output: test -s "$out_path" — or, for stdout, at least 200 bytes of content.
  2. 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)

  1. 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.
  2. 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](references/flags.md) — every flag with when-to-use notes.
  • [references/patterns.md](references/patterns.md) — shell-loop batching, xargs parallelism, pagination recipe, retry/backoff, block-page recovery chain, legacy curl fallback.
  • [references/examples.md](references/examples.md) — (1) single page → markdown, (2) batch a list of URLs with parallelism cap, (3) paginated listing, (4) block-page recovery.