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scrape

scrape

github.com/brightdataData & databases26810.9k installsUpdated 2w ago
Repository

About scrape

A skill that uses the Bright Data CLI to retrieve URL content as Markdown, HTML, JSON, or screenshots. It covers single URLs and batches, and routes supported platform-specific data requests elsewhere.

Key features

  1. 01Fetch URL content in multiple formats
  2. 02Handle single URLs and URL batches
  3. 03Support paginated listings
  4. 04Verify output and detect block pages
  5. 05Route platform data requests to data-feeds

Use cases

  1. 01Extracting article text as Markdown
  2. 02Collecting HTML or JSON from a URL
  3. 03Processing a paginated listing
  4. 04Checking whether a scrape returned blocked content

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/brightdata/skills --skill scrape

After installing, type/scrapein Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

references/
examples.md
flags.md
patterns.md

Details

From the project README

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

SituationAction
Single URLbdata 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 listingscrape page 1 → extract next-page URL → append → repeat (see references/examples.md)
JS-heavy / login-gated / interaction-requiredescalate to bdata browser (see brightdata-cli skill)
Amazon, LinkedIn, TikTok, Instagram, YouTube, Reddit, …stop — hand off to data-feeds
No URL yet, just a topichand 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)

  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)
  3. 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.
  4. 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.

Comments

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