Browser

Web Retrieval

Try it

Expert web fetching and crawling using Scrapling. Use for any web_fetch task, JS-rendered pages, anti-bot sites, bulk URL fetching, or site crawling. Preferr...

What it does

Local web fetching via Scrapling. Three fetchers, two scripts, one job: get the page content reliably.

The skill document

Web Retrieval — Scrapling Expert

Local web fetching via Scrapling. Three fetchers, two scripts, one job: get the page content reliably.

Fetcher Selection Guide

Always start with the cheapest fetcher that works. Escalate only if needed.

FetcherCLI modeSpeedUse when
Fetcher (curl_cffi)getFast (~1s)Static HTML, APIs, most public pages. Impersonates Chrome.
DynamicFetcherfetchMedium (~5s)JS-rendered pages, SPAs, pages that need browser execution
StealthyFetcherstealthySlow (~10s)Cloudflare, heavy anti-bot, fingerprint detection

Decision tree:

  1. Try get first — it handles 80% of pages
  2. If content is just a title or empty → escalate to fetch
  3. If blocked/Cloudflare detected → escalate to stealthy
  4. If still blocked → add --solve-cloudflare and/or --wait 3000

Fetch Script

FETCH="python3 $SKILL_DIR/scripts/fetch"

# Basic fetch (auto-escalates through modes)
$FETCH https://example.com

# Force specific mode
$FETCH https://example.com --mode stealthy

# Extract specific content with CSS selector
$FETCH https://example.com -s "article.main-content"

# Wait for JS-rendered content
$FETCH https://spa.example.com --mode fetch --wait 3000 --wait-selector ".content"

# Save to file
$FETCH https://example.com /tmp/output.md

# Plain text output
$FETCH https://example.com --text

# Raw HTML (for link extraction, parsing)
$FETCH https://example.com --html

# Cloudflare bypass
$FETCH https://protected.example.com --mode stealthy --solve-cloudflare

# Fast (no images/fonts/media)
$FETCH https://example.com --no-resources

# Network idle wait (good for dashboards)
$FETCH https://example.com --mode fetch --network-idle

Crawl Script

CRAWL="python3 $SKILL_DIR/scripts/crawl"

# Fetch a flat list of URLs from file → one .md per URL in output dir
$CRAWL --urls-file /tmp/urls.txt --output-dir /tmp/results/

# Fetch list → single JSON file
$CRAWL --urls-file /tmp/urls.txt --output-json /tmp/results.json

# Crawl a site 2 levels deep (same domain only)
$CRAWL https://docs.example.com --depth 2 --output-dir /tmp/docs/

# Spider with checkpoint (resume if interrupted)
$CRAWL https://large-site.com --depth 3 --checkpoint-dir /tmp/checkpoint/

# Crawl with URL filter (only pages matching pattern)
$CRAWL https://docs.openclaw.ai --depth 2 --allowed-pattern "/docs/" --output-dir /tmp/

# Use stealth mode for crawl
$CRAWL --urls-file /tmp/urls.txt --mode stealthy --output-json /tmp/out.json

Python API (for sub-agents / scripts)

from scrapling import Fetcher, StealthyFetcher, DynamicFetcher

# Static fetch with browser impersonation
page = Fetcher().get("https://example.com", stealthy_headers=True)
text = page.get_all_text(ignore_tags=("script", "style"))
links = [a.attrib.get("href") for a in page.css("a[href]")]
title = page.css_first("h1").text

# Dynamic (JS-rendered)
async with DynamicFetcher() as f:
    page = await f.async_fetch("https://spa.example.com")

# Stealthy
page = StealthyFetcher().fetch("https://cloudflare-site.com", wait=2000)

# CSS selector extraction
results = page.css("div.article-body p")  # returns list of elements
first = page.css_first("h1").text

# Response properties
page.status  # HTTP status
page.url     # final URL (after redirects)
page.html    # raw HTML string
page.find("div", {"class": "content"})  # BeautifulSoup-style

Scrapling Spider (site crawl with full control)

from scrapling.spiders import Spider, Request
from scrapling import Fetcher

class DocsCrawler(Spider):
    start_urls = ["https://docs.example.com"]

    async def start_requests(self):
        for url in self.start_urls:
            yield Request(url, callback=self.parse)

    async def parse(self, response):
        # Yield scraped data
        yield {
            "url": response.url,
            "title": response.css_first("h1").text if response.css_first("h1") else "",
            "body": response.get_all_text(ignore_tags=("script", "style")),
        }
        # Follow links
        for link in response.css("a[href]"):
            href = link.attrib.get("href", "")
            if href.startswith("/") or "docs.example.com" in href:
                yield Request(response.urljoin(href), callback=self.parse)

# Run (checkpoint-enabled)
spider = DocsCrawler(crawldir="/tmp/crawl-checkpoint/")
result = spider.start()
print(f"Scraped {result.stats.items_scraped} pages")
items = list(result.items)

Key Scrapling CSS/Response Methods

MethodDescription
page.css("selector")All matching elements
page.css_first("selector")First match or None
el.textText content of element
el.attrib["href"]Attribute value
page.get_all_text()Full page text (strips scripts/styles)
page.htmlRaw HTML
page.find(tag, attrs)BeautifulSoup-style find
page.urljoin(href)Resolve relative URL
response.urlFinal URL after redirects
response.statusHTTP status code

Output Formats

All CLI commands support three output formats via file extension:

  • .md — Markdown (default, best for LLM consumption)
  • .txt — Plain text
  • .html — Raw HTML (use for link extraction or further parsing)

Tips

  • JS pages with lazy loading: use --wait 2000 + --network-idle
  • Dynamic content: --wait-selector ".target-class" waits until element appears
  • Rate limiting: add --wait 1000 between requests in crawl mode
  • Cloudflare 403/503: --mode stealthy --solve-cloudflare
  • Missing content: try --mode fetch --network-idle before escalating to stealthy
  • CSS selectors: use for targeted extraction to reduce noise in output
  • Deep research crawls: use --checkpoint-dir so crawl survives interruption

Related skills

Adaptive web scraping in Python that bypasses anti-bot systems and scales from single requests to concurrent crawls.

by d4vinci399 installs28 stars

Post videos, photos, text, and documents to 10 social platforms through a single REST API call.

by victorcavero14375 installs50 stars

Join a video meeting as an AI bot with voice, avatar, and screenshare across four operating modes.

by johnpatternai21 installs8 stars

Stores durable facts in a categorized, plain-markdown vault on disk, alongside your agent's built-in memory.

by Iván555 installs18 stars

Generate and edit Draw.io, Mermaid, and Excalidraw diagrams from natural language using a structured JSON spec.

by nssa.io1.0k installs47 stars

More from seanford

Browse all skills

Delegate coding work to Codex, Claude Code, Pi, and other ACP agents via acpx, with persistent sessions and parallel execution.

by Sean Ford2 installs

Read, send, and manage Outlook mail, folders, calendar events, and contacts through Microsoft Graph with managed OAuth.

by byungkyu

Route calls to third-party APIs through a managed gateway without handling OAuth or API keys yourself.

by byungkyu

Read, send, and manage Gmail emails, threads, labels, and drafts via managed OAuth.

by byungkyu

Query the local OpenClaw docs index for accurate answers about configuration, features, CLI commands, channels, providers, plugins, cron, sessions, agents, protocol, and troubleshooting. Faster and more accurate than relying on training data for OpenClaw specifics. Zero API calls, sub-10ms queries. Useful for: openclaw, configure, gateway, channel, cron, provider, plugin, session, heartbeat, protocol, skill, model, agent questions.

by seanford32 installs

Research any topic across multiple sources and produce a cited report. Use when the user asks to research, find, look into, deep dive, investigate, or get a...

by seanford9 installs