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rotate-scraping-proxies

pjt222
Aktualisiert 2 days ago
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Entwicklungaiapidata

Über

Diese Funktion implementiert anbieterneutrale Proxy-Rotation, um Blockierungen zu umgehen, wenn clientseitige Stealth-Techniken versagen. Sie ermöglicht die Auswahl aus Rechenzentrums-, Wohn- oder Mobilfunk-Proxy-Pools mit Sitzungsbindung für zustandsbehaftete Workflows. Entwickler sollten sie nur für legitimen Datenverkehr nutzen, dabei Kosten überwachen und ethische Grenzen einhalten.

Schnellinstallation

Claude Code

Empfohlen
Primär
npx skills add pjt222/agent-almanac -a claude-code
Plugin-BefehlAlternativ
/plugin add https://github.com/pjt222/agent-almanac
Git CloneAlternativ
git clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/rotate-scraping-proxies

Kopieren Sie diesen Befehl und fügen Sie ihn in Claude Code ein, um diese Fähigkeit zu installieren

Dokumentation

Rotate Scraping Proxies

Network-layer escalation for scraping where client-side stealth is exhausted. Proxy rotation is a last resort, not a default — expensive, ethically charged, and easily misused. This skill teaches when not to use it as much as how.

When to Use

  • headless-web-scraping (Fetcher → StealthyFetcher → DynamicFetcher) tried and target still returns 403/429/geo-blocks
  • Rate limiting already at 3+ second intervals and robots.txt permits the path
  • User-Agent and TLS fingerprint already realistic (not default python-requests)
  • Scraping is legitimate: public data, no auth circumvention, no paywall bypass, no personal data harvested without legal basis
  • You can budget proxy traffic and accept operational complexity

Do not use when: a public API exists (use it), the site's ToS forbids automated access, you would circumvent geo-licensing, or the goal is fraud / credential stuffing / sneaker bots / content piracy.

Inputs

  • Required: Target URLs and the legal basis for scraping them
  • Required: Proxy pool credentials (read from environment, never hard-coded)
  • Required: Pool type — datacenter, residential, or mobile
  • Optional: Geographic targeting (country / region / city)
  • Optional: Rotation granularity — per-request (default) or sticky session
  • Optional: Daily traffic / spend cap
  • Optional: Rate limit delay in seconds (default: 1, even with rotation)

Procedure

Step 1: Pre-flight Legality and Ethics Check

Gate the workflow on a documented legal and ethical review. Skipping this is the single biggest source of harm.

# Inputs to confirm before writing any code:
# 1. Is the data public (no login required)?
# 2. Does robots.txt permit the path?
# 3. Does the site's ToS prohibit automated access? (read it)
# 4. Would the scraping process personal data? If yes, what is the legal basis?
# 5. Could this access circumvent geo-licensing, paywalls, or auth?
# 6. Is there a public API or data dump that would make scraping unnecessary?
# 7. Have you contacted the site owner if scope is large?

Got: Every question has a defensible written answer. The first "no" or "unknown" stops the procedure until resolved.

If fail:

  • ToS forbids automated access — do not proceed; contact the site owner or use an official API or licensed dataset
  • Personal data with no legal basis — do not proceed; engage privacy counsel
  • Circumvents auth or geo-licensing — do not proceed under any circumstances

Step 2: Choose a Pool Type

Different pool types have different cost, detectability, and ethics. Pick the cheapest tier that solves your block.

Pool typeDetectabilityCostBest for
DatacenterHigh (easily blocked by Cloudflare/Akamai)$Sites with no real anti-bot, geo-shifting only
ResidentialLow (real ISP IPs)$$$Sites that block datacenter ASNs
MobileVery low (carrier-grade NAT, shared with thousands)$$$$Sites that even block residential (rare)

Ethical caveat for residential and mobile: these pools route your traffic through real consumer connections. Operator consent models vary — some pay users, some bundle exit-node consent into "free VPN" EULAs that users do not read. Prefer providers with audited, opt-in consent. If you would not be comfortable with a stranger sending scraping traffic through your home router, do not send yours through theirs.

Got: A documented choice with the cheapest viable tier and a brief note on why higher tiers were rejected (or why a higher tier is needed).

If fail:

  • Datacenter blocked but residential over budget — narrow scraping scope (fewer URLs, slower cadence) before upgrading the tier
  • Cannot find a provider with documented opt-in consent — reconsider whether the scraping is necessary

Step 3: Integrate Rotation with Scrapling

Wire the proxy into scrapling fetchers. Read credentials from environment variables — never hard-code, never commit a .env.

import os
import random
from scrapling import Fetcher, StealthyFetcher

# Pattern A: provider-managed rotating endpoint (one URL, provider rotates per request)
PROXY_URL = os.environ["SCRAPING_PROXY_URL"]  # http://user:[email protected]:7777

fetcher = StealthyFetcher()
fetcher.configure(
    headless=True,
    timeout=60,
    network_idle=True,
    proxy=PROXY_URL,
)

# Pattern B: explicit pool, rotate yourself
POOL = os.environ["SCRAPING_PROXY_POOL"].split(",")  # comma-separated URLs

def fetch_with_rotation(url):
    proxy = random.choice(POOL)
    fetcher = StealthyFetcher()
    fetcher.configure(headless=True, timeout=60, proxy=proxy)
    return fetcher.get(url)

Got: Requests succeed and the egress IP varies between calls. Confirm by hitting an IP-echo endpoint (e.g. https://api.ipify.org) before running the real scrape.

If fail:

  • 407 Proxy Authentication Required — credentials wrong or password URL-encoding broke (re-encode special characters)
  • Same IP on every call — provider endpoint may be sticky by default; check docs for a -rotating or per-request flag
  • Massive latency increase — expected; rotation adds 200–2000ms per request

Step 4: Sticky Sessions and Pool Health

Decide rotation granularity per workload, then keep the pool healthy.

# Sticky session for stateful flows (login, multi-page checkout-like crawls)
# Most providers expose a session ID via the username:
#   user-session-abc123:[email protected]:7777
# All requests with the same session ID exit through the same IP for ~10 min.

# Per-request rotation for anonymous bulk scraping (default)

# Pool health check — call before bulk run
def check_pool(pool, sample_size=5):
    sample = random.sample(pool, min(sample_size, len(pool)))
    alive = []
    for proxy in sample:
        try:
            r = StealthyFetcher().configure(proxy=proxy, timeout=10).get(
                "https://api.ipify.org"
            )
            if r.status == 200:
                alive.append(proxy)
        except Exception:
            pass
    return alive

# Backoff on transient proxy failures
def fetch_with_backoff(url, max_attempts=3):
    for attempt in range(max_attempts):
        try:
            r = fetch_with_rotation(url)
            if r.status not in (407, 502, 503):
                return r
        except Exception:
            pass
        time.sleep(2 ** attempt)
    return None

Got: Stateful flows preserve cookies across requests; bulk anonymous scraping shows IP variance across requests; dead proxies skipped instead of looping.

If fail:

  • Login breaks mid-flow — rotation happening inside the session; switch to sticky-session credentials
  • All proxies in sample fail health check — pool exhausted or credentials expired; rotate credentials or contact provider

Step 5: Monitoring, Cost Control, and Kill Switch

Proxy traffic has a per-GB cost and a per-request cost. Runaway scrapers generate runaway invoices. Always include limits and an abort.

import time

class ScrapeBudget:
    def __init__(self, max_requests, max_duration_seconds, max_failures):
        self.max_requests = max_requests
        self.max_duration = max_duration_seconds
        self.max_failures = max_failures
        self.requests = 0
        self.failures = 0
        self.start = time.monotonic()

    def allow(self):
        if self.requests >= self.max_requests:
            return False, "request cap reached"
        if time.monotonic() - self.start >= self.max_duration:
            return False, "time cap reached"
        if self.failures >= self.max_failures:
            return False, "failure cap reached (circuit breaker)"
        return True, None

    def record(self, success):
        self.requests += 1
        if not success:
            self.failures += 1

budget = ScrapeBudget(max_requests=1000, max_duration_seconds=3600, max_failures=20)

for url in target_urls:
    ok, reason = budget.allow()
    if not ok:
        print(f"Aborting: {reason}")
        break
    response = fetch_with_backoff(url)
    budget.record(success=response is not None)
    time.sleep(1)  # rate limiting still applies even with rotation

Got: Budget caps trigger before runaway cost. Logs show per-proxy success rate so a bad egress IP can be identified and excluded.

If fail:

  • Failure rate climbs above 20% — pause; the site has detected the rotation pattern (e.g. all your IPs share a subnet); switch pool type or stop
  • Cost-per-record exceeds expectations by 5x — cache aggressively, deduplicate URLs, batch where possible

Validation

  • Step 1 legality check is documented in writing before any code runs
  • No proxy credentials, pool URLs, or session IDs in tracked files (grep for gateway., proxy=, the provider hostname)
  • .env (or equivalent) is in .gitignore
  • Pool choice justified: cheapest viable tier, with consent model verified for residential/mobile
  • IP variance confirmed against an echo endpoint before the real run
  • Stateful flows use sticky sessions; bulk anonymous use per-request
  • Budget caps (requests, duration, failures) wired and tested
  • Rate limiting (≥1s) preserved — rotation is not an excuse to flood
  • robots.txt still respected — rotation does not override it

Pitfalls

  • Rotating before stealth is exhausted: the site often does not need a new IP — it needs a realistic User-Agent, TLS fingerprint, and slower cadence. Try StealthyFetcher and rate limiting first; rotation is expensive and unethical to deploy unnecessarily.
  • Hard-coded credentials: pasting the proxy URL into source leaks it to git, container images, and stack traces. Read from environment variables or a secrets manager.
  • Rotating mid-session: per-request rotation breaks any flow that depends on cookies, CSRF tokens, or shopping-cart state. Use sticky sessions for stateful work.
  • Treating rotation as "ethical anonymity": rotation hides you from the target, but does not make harmful scraping ethical. ToS, copyright, privacy law, and rate-limit ethics still apply unchanged.
  • Using residential proxies for high-risk activity: credential stuffing, sneaker botting, geo-pirating streaming content, fraud — explicitly out of scope. If your use case looks like this, stop.
  • Ignoring robots.txt because "we have rotation now": rotation does not grant permission. The directive is the directive.
  • No kill switch: an unsupervised loop on a metered proxy pool turns into a four-figure invoice overnight. Always cap requests, duration, and failures.
  • Choosing a residential pool with opaque consent: some providers source exit nodes from "free VPN" EULAs that real users never read. Pay the premium for an audited, opt-in consent model.

Related Skills

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GitHub Repository

pjt222/agent-almanac
Pfad: i18n/caveman-lite/skills/rotate-scraping-proxies
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