If you're building web scrapers, running market research tools, or collecting data at scale, you've almost certainly hit IP bans and rate limits. Rotating proxies solve that problem by cycling your outbound IP address automatically, making each request appear to originate from a different location.
In this guide, you'll learn exactly how to integrate rotating proxies with Python's requests library, from basic setup to advanced patterns like sticky sessions, country targeting, SOCKS5 support, async requests, and production-grade error handling. Every code example uses real, working Python -- copy, paste, and run.
Every web scraper eventually encounters the same wall: the target website detects repeated requests from a single IP address and blocks it. Anti-bot systems track request volume, timing patterns, and geographic origin. When your scraper sends hundreds of requests per minute from one IP, it sticks out immediately.
Rotating proxies address this by assigning a different residential IP to each outgoing request. Instead of hammering a server from one address, your traffic looks like it comes from thousands of unique, legitimate users spread across different locations.
Here's what rotating proxies give you in practice:
Whether you're monitoring competitor prices, aggregating public datasets, or testing your own application from different geolocations, rotating proxies are a foundational tool in the modern developer's scraping stack.
Before writing any code, make sure you have the following set up on your machine.
Verify your Python version:
python --versionIf you need to install or update Python, download the latest version from python.org.
You'll need the requests library at minimum. For SOCKS5 support and async examples, install the additional packages as well:
# Core HTTP library
pip install requests
# SOCKS5 proxy support
pip install requests[socks]
# Async HTTP requests
pip install aiohttp
# Async SOCKS support (optional)
pip install aiohttp-socksSign up at spyderproxy.com to get your proxy credentials. You'll receive:
geo.spyderproxy.com11200)Alternatively, you can use IP whitelist authentication by adding your server's IP address in the SpyderProxy dashboard.
The requests library has built-in proxy support through the proxies parameter. Here's the most straightforward way to route a request through a proxy:
import requests
# Define your proxy credentials
proxy_host = "geo.spyderproxy.com"
proxy_port = "11200"
proxy_user = "your_username"
proxy_pass = "your_password"
# Build the proxy URL
proxy_url = f"http://{proxy_user}:{proxy_pass}@{proxy_host}:{proxy_port}"
# Configure proxies for both HTTP and HTTPS
proxies = {
"http": proxy_url,
"https": proxy_url,
}
# Make a request through the proxy
response = requests.get(
"https://httpbin.org/ip",
proxies=proxies,
timeout=30,
)
print(response.json())
# Output: {"origin": "154.23.xx.xx"} -- a residential IP, not yoursFor production deployments, avoid hardcoding credentials. Use environment variables instead:
import os
import requests
proxy_user = os.environ["SPYDER_PROXY_USER"]
proxy_pass = os.environ["SPYDER_PROXY_PASS"]
proxy_host = os.environ.get("SPYDER_PROXY_HOST", "geo.spyderproxy.com")
proxy_port = os.environ.get("SPYDER_PROXY_PORT", "11200")
proxy_url = f"http://{proxy_user}:{proxy_pass}@{proxy_host}:{proxy_port}"
proxies = {
"http": proxy_url,
"https": proxy_url,
}
response = requests.get("https://httpbin.org/ip", proxies=proxies, timeout=30)
print(response.json())Set the variables before running:
export SPYDER_PROXY_USER="your_username"
export SPYDER_PROXY_PASS="your_password"If you prefer not to send credentials with each request, whitelist your server's IP in the SpyderProxy dashboard and connect without a username/password:
import requests
proxies = {
"http": "http://geo.spyderproxy.com:11200",
"https": "http://geo.spyderproxy.com:11200",
}
response = requests.get("https://httpbin.org/ip", proxies=proxies, timeout=30)
print(response.json())With SpyderProxy's residential proxy pool, every request you send through the gateway automatically receives a different IP address. There's no extra code needed for rotation -- it happens at the infrastructure level.
import requests
proxy_user = "your_username"
proxy_pass = "your_password"
proxy_url = f"http://{proxy_user}:{proxy_pass}@geo.spyderproxy.com:11200"
proxies = {
"http": proxy_url,
"https": proxy_url,
}
# Each request automatically gets a different IP
for i in range(5):
response = requests.get(
"https://httpbin.org/ip",
proxies=proxies,
timeout=30,
)
ip = response.json()["origin"]
print(f"Request {i + 1}: {ip}")Expected output:
Request 1: 185.234.72.19
Request 2: 91.108.33.147
Request 3: 203.45.167.88
Request 4: 72.134.99.201
Request 5: 156.78.42.63Every request hits a different residential IP without you managing a proxy list, handling rotation logic, or dealing with stale IPs. The SpyderProxy gateway selects from millions of residential IPs in its pool.
For performance, use a requests.Session to reuse the underlying TCP connection to the proxy gateway while still getting IP rotation:
import requests
proxy_user = "your_username"
proxy_pass = "your_password"
proxy_url = f"http://{proxy_user}:{proxy_pass}@geo.spyderproxy.com:11200"
session = requests.Session()
session.proxies = {
"http": proxy_url,
"https": proxy_url,
}
session.timeout = 30
urls = [
"https://httpbin.org/ip",
"https://httpbin.org/headers",
"https://httpbin.org/user-agent",
]
for url in urls:
response = session.get(url)
print(f"{url}: {response.status_code}")The session keeps the connection to geo.spyderproxy.com alive (reducing handshake overhead), while SpyderProxy still rotates the exit IP for each request.
Need to see how a website looks from a particular country? SpyderProxy lets you target specific geolocations by appending a country code to your username.
import requests
proxy_pass = "your_password"
base_user = "your_username"
def get_country_proxy(country_code: str) -> dict:
"""Build proxy config targeting a specific country."""
user = f"{base_user}-country-{country_code}"
proxy_url = f"http://{user}:{proxy_pass}@geo.spyderproxy.com:11200"
return {
"http": proxy_url,
"https": proxy_url,
}
# Request from the United States
us_proxies = get_country_proxy("us")
response = requests.get("https://httpbin.org/ip", proxies=us_proxies, timeout=30)
print(f"US IP: {response.json()['origin']}")
# Request from Germany
de_proxies = get_country_proxy("de")
response = requests.get("https://httpbin.org/ip", proxies=de_proxies, timeout=30)
print(f"DE IP: {response.json()['origin']}")
# Request from Japan
jp_proxies = get_country_proxy("jp")
response = requests.get("https://httpbin.org/ip", proxies=jp_proxies, timeout=30)
print(f"JP IP: {response.json()['origin']}")import requests
proxy_pass = "your_password"
base_user = "your_username"
target_url = "https://example-store.com/product/12345"
countries = ["us", "gb", "de", "jp", "br"]
for country in countries:
user = f"{base_user}-country-{country}"
proxy_url = f"http://{user}:{proxy_pass}@geo.spyderproxy.com:11200"
proxies = {"http": proxy_url, "https": proxy_url}
try:
response = requests.get(target_url, proxies=proxies, timeout=30)
print(f"[{country.upper()}] Status: {response.status_code}, Length: {len(response.text)}")
except requests.exceptions.RequestException as e:
print(f"[{country.upper()}] Error: {e}")SpyderProxy supports country codes following the ISO 3166-1 alpha-2 standard (e.g., us, gb, de, fr, jp, br, au, ca, in).
Sometimes you need the same IP address across multiple requests -- for example, when navigating a paginated listing, maintaining a logged-in session, or completing a multi-step checkout flow. SpyderProxy's sticky sessions keep your exit IP consistent by appending a session identifier to your username.
import requests
import random
import string
proxy_pass = "your_password"
base_user = "your_username"
def create_sticky_session(session_id: str = None) -> requests.Session:
"""Create a requests session that uses a sticky proxy IP."""
if session_id is None:
session_id = "".join(random.choices(string.ascii_lowercase + string.digits, k=8))
user = f"{base_user}-session-{session_id}"
proxy_url = f"http://{user}:{proxy_pass}@geo.spyderproxy.com:11200"
session = requests.Session()
session.proxies = {
"http": proxy_url,
"https": proxy_url,
}
session.timeout = 30
return session
# All requests in this session use the same exit IP
sticky = create_sticky_session("mySession123")
for i in range(5):
response = sticky.get("https://httpbin.org/ip")
print(f"Request {i + 1}: {response.json()['origin']}")Expected output:
Request 1: 185.234.72.19
Request 2: 185.234.72.19
Request 3: 185.234.72.19
Request 4: 185.234.72.19
Request 5: 185.234.72.19import requests
import random
import string
proxy_pass = "your_password"
base_user = "your_username"
def scrape_paginated_listing(base_url: str, total_pages: int) -> list:
"""Scrape multiple pages using a sticky session to maintain the same IP."""
session_id = "".join(random.choices(string.ascii_lowercase + string.digits, k=8))
user = f"{base_user}-session-{session_id}"
proxy_url = f"http://{user}:{proxy_pass}@geo.spyderproxy.com:11200"
session = requests.Session()
session.proxies = {"http": proxy_url, "https": proxy_url}
session.headers.update({
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36"
})
all_results = []
for page in range(1, total_pages + 1):
url = f"{base_url}?page={page}"
response = session.get(url, timeout=30)
if response.status_code == 200:
all_results.append(response.text)
print(f"Page {page}: collected {len(response.text)} bytes")
else:
print(f"Page {page}: HTTP {response.status_code}")
return all_results
results = scrape_paginated_listing("https://example.com/listings", total_pages=10)
print(f"Collected data from {len(results)} pages")Sticky sessions typically remain active for up to 10 minutes (depending on your plan), which is plenty for multi-step scraping workflows.
SpyderProxy also supports SOCKS5 connections, which can handle any type of TCP traffic and offer lower overhead than HTTP proxies for certain workloads. You'll need the PySocks package.
pip install requests[socks]This installs both PySocks and the requests SOCKS adapter.
import requests
proxy_user = "your_username"
proxy_pass = "your_password"
socks5_port = "7778" # SOCKS5 port (check your SpyderProxy dashboard)
proxy_url = f"socks5h://{proxy_user}:{proxy_pass}@geo.spyderproxy.com:{socks5_port}"
proxies = {
"http": proxy_url,
"https": proxy_url,
}
response = requests.get("https://httpbin.org/ip", proxies=proxies, timeout=30)
print(response.json())Note the socks5h:// scheme (with the "h") -- this tells PySocks to perform DNS resolution on the proxy side rather than locally, which prevents DNS leaks and ensures the target hostname stays private.
import requests
proxy_pass = "your_password"
base_user = "your_username"
socks5_port = "7778"
# Target UK IPs over SOCKS5
user = f"{base_user}-country-gb"
proxy_url = f"socks5h://{user}:{proxy_pass}@geo.spyderproxy.com:{socks5_port}"
proxies = {"http": proxy_url, "https": proxy_url}
response = requests.get("https://httpbin.org/ip", proxies=proxies, timeout=30)
print(f"UK SOCKS5 IP: {response.json()['origin']}")Production scrapers need robust error handling. Proxies can occasionally time out, return connection errors, or hit temporary blocks. Here's a battle-tested retry pattern:
import requests
from requests.adapters import HTTPAdapter
from urllib3.util.retry import Retry
import time
import logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
def create_resilient_session(
proxy_user: str,
proxy_pass: str,
max_retries: int = 3,
backoff_factor: float = 1.0,
) -> requests.Session:
"""Create a session with automatic retry logic and proxy configuration."""
proxy_url = f"http://{proxy_user}:{proxy_pass}@geo.spyderproxy.com:11200"
session = requests.Session()
session.proxies = {"http": proxy_url, "https": proxy_url}
# Configure retry strategy
retry_strategy = Retry(
total=max_retries,
backoff_factor=backoff_factor,
status_forcelist=[429, 500, 502, 503, 504],
allowed_methods=["GET", "HEAD", "OPTIONS"],
raise_on_status=False,
)
adapter = HTTPAdapter(max_retries=retry_strategy)
session.mount("http://", adapter)
session.mount("https://", adapter)
return session
def fetch_with_fallback(
url: str,
session: requests.Session,
timeout: int = 30,
) -> requests.Response | None:
"""Fetch a URL with comprehensive error handling."""
try:
response = session.get(url, timeout=timeout)
if response.status_code == 200:
return response
elif response.status_code == 403:
logger.warning(f"Access denied for {url} -- IP may be blocked")
elif response.status_code == 429:
logger.warning(f"Rate limited on {url} -- backing off")
time.sleep(5)
else:
logger.warning(f"HTTP {response.status_code} for {url}")
return response
except requests.exceptions.ProxyError as e:
logger.error(f"Proxy connection failed: {e}")
except requests.exceptions.ConnectTimeout:
logger.error(f"Connection to proxy timed out for {url}")
except requests.exceptions.ReadTimeout:
logger.error(f"Read timeout for {url}")
except requests.exceptions.ConnectionError as e:
logger.error(f"Connection error: {e}")
except requests.exceptions.RequestException as e:
logger.error(f"Request failed: {e}")
return None
# Usage
session = create_resilient_session("your_username", "your_password")
urls = [
"https://httpbin.org/ip",
"https://httpbin.org/status/200",
"https://httpbin.org/delay/2",
]
for url in urls:
result = fetch_with_fallback(url, session)
if result:
logger.info(f"Success: {url} ({result.status_code})")
else:
logger.info(f"Failed: {url}")Since SpyderProxy rotates IPs automatically, a failed request will already use a new IP on retry. But you can also force a fresh session context:
import requests
import time
def fetch_with_ip_rotation_retry(
url: str,
proxy_user: str,
proxy_pass: str,
max_attempts: int = 5,
delay_between: float = 2.0,
) -> requests.Response | None:
"""Retry failed requests, each attempt gets a fresh proxy IP."""
proxy_url = f"http://{proxy_user}:{proxy_pass}@geo.spyderproxy.com:11200"
proxies = {"http": proxy_url, "https": proxy_url}
for attempt in range(1, max_attempts + 1):
try:
response = requests.get(url, proxies=proxies, timeout=30)
if response.status_code == 200:
return response
print(f"Attempt {attempt}: HTTP {response.status_code}")
except requests.exceptions.RequestException as e:
print(f"Attempt {attempt}: {type(e).__name__}")
if attempt < max_attempts:
time.sleep(delay_between)
return None
result = fetch_with_ip_rotation_retry(
"https://httpbin.org/ip",
"your_username",
"your_password",
)
if result:
print(f"Final IP: {result.json()['origin']}")When you need to scrape hundreds or thousands of pages quickly, synchronous requests calls are too slow. The aiohttp library lets you run many concurrent requests through your rotating proxy.
pip install aiohttp aiohttp-socksimport asyncio
import aiohttp
async def fetch_through_proxy(url: str) -> dict:
proxy_user = "your_username"
proxy_pass = "your_password"
proxy_url = f"http://{proxy_user}:{proxy_pass}@geo.spyderproxy.com:11200"
async with aiohttp.ClientSession() as session:
async with session.get(
url,
proxy=proxy_url,
timeout=aiohttp.ClientTimeout(total=30),
) as response:
return await response.json()
result = asyncio.run(fetch_through_proxy("https://httpbin.org/ip"))
print(result)import asyncio
import aiohttp
import time
async def fetch_url(
session: aiohttp.ClientSession,
url: str,
semaphore: asyncio.Semaphore,
proxy_url: str,
) -> dict:
"""Fetch a single URL through the proxy with concurrency control."""
async with semaphore:
try:
async with session.get(
url,
proxy=proxy_url,
timeout=aiohttp.ClientTimeout(total=30),
) as response:
text = await response.text()
return {
"url": url,
"status": response.status,
"length": len(text),
}
except Exception as e:
return {"url": url, "status": "error", "error": str(e)}
async def scrape_urls(urls: list[str], max_concurrent: int = 20) -> list[dict]:
"""Scrape multiple URLs concurrently through rotating proxies."""
proxy_user = "your_username"
proxy_pass = "your_password"
proxy_url = f"http://{proxy_user}:{proxy_pass}@geo.spyderproxy.com:11200"
semaphore = asyncio.Semaphore(max_concurrent)
async with aiohttp.ClientSession() as session:
tasks = [
fetch_url(session, url, semaphore, proxy_url)
for url in urls
]
results = await asyncio.gather(*tasks)
return results
# Generate test URLs
urls = [f"https://httpbin.org/anything/{i}" for i in range(100)]
start = time.time()
results = asyncio.run(scrape_urls(urls, max_concurrent=20))
elapsed = time.time() - start
successful = sum(1 for r in results if r.get("status") == 200)
print(f"Completed {len(results)} requests in {elapsed:.1f}s")
print(f"Success rate: {successful}/{len(results)} ({100 * successful / len(results):.1f}%)")
print(f"Throughput: {len(results) / elapsed:.1f} requests/second")import asyncio
from aiohttp_socks import ProxyConnector
import aiohttp
async def fetch_via_socks5(url: str) -> dict:
proxy_user = "your_username"
proxy_pass = "your_password"
socks5_url = f"socks5://{proxy_user}:{proxy_pass}@geo.spyderproxy.com:11200"
connector = ProxyConnector.from_url(socks5_url)
async with aiohttp.ClientSession(connector=connector) as session:
async with session.get(url, timeout=aiohttp.ClientTimeout(total=30)) as resp:
return await resp.json()
result = asyncio.run(fetch_via_socks5("https://httpbin.org/ip"))
print(result)Following these guidelines will maximize your success rates and keep your scraping operations running smoothly.
Even with rotating IPs, sending identical headers flags your traffic as automated. Rotate User-Agent strings alongside your proxies:
import requests
import random
USER_AGENTS = [
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 14_5) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.5 Safari/605.1.15",
"Mozilla/5.0 (X11; Linux x86_64; rv:128.0) Gecko/20100101 Firefox/128.0",
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36 Edg/125.0.0.0",
]
proxy_url = "http://your_username:[email protected]:11200"
proxies = {"http": proxy_url, "https": proxy_url}
headers = {"User-Agent": random.choice(USER_AGENTS)}
response = requests.get("https://httpbin.org/headers", proxies=proxies, headers=headers, timeout=30)Don't blast a target server as fast as your connection allows. Add deliberate delays between requests:
import time
import random
def polite_delay(min_seconds: float = 1.0, max_seconds: float = 3.0):
"""Sleep for a random duration to mimic human browsing patterns."""
delay = random.uniform(min_seconds, max_seconds)
time.sleep(delay)Before scraping any site, check its robots.txt file and honor the directives. The robotexclusionrulesparser or urllib.robotparser module can help:
from urllib.robotparser import RobotFileParser
def can_scrape(url: str, user_agent: str = "*") -> bool:
"""Check if scraping is allowed by robots.txt."""
from urllib.parse import urlparse
parsed = urlparse(url)
robots_url = f"{parsed.scheme}://{parsed.netloc}/robots.txt"
rp = RobotFileParser()
rp.set_url(robots_url)
rp.read()
return rp.can_fetch(user_agent, url)Some websites use cookies for bot detection. Let a requests.Session handle cookies naturally:
session = requests.Session()
session.proxies = {"http": proxy_url, "https": proxy_url}
# First request sets cookies
session.get("https://example.com")
# Subsequent requests automatically include cookies
session.get("https://example.com/data")Always set timeouts to prevent your scraper from hanging indefinitely on a slow or unresponsive proxy connection:
response = requests.get(
url,
proxies=proxies,
timeout=(10, 30), # (connect timeout, read timeout) in seconds
)In production scraping, logging is non-negotiable. Track success rates, response times, and errors to identify issues early.
We tested SpyderProxy's rotating residential proxies using the patterns described in this guide to give you realistic throughput expectations.
| Metric | Value |
|---|---|
| Requests per second | 8-12 |
| Average latency | 850ms |
| Success rate (HTTP 200) | 98.7% |
| Timeout rate | 0.8% |
| Connection error rate | 0.5% |
| Metric | Value |
|---|---|
| Requests per second | 45-65 |
| Average latency | 920ms |
| Success rate (HTTP 200) | 97.9% |
| Timeout rate | 1.2% |
| Connection error rate | 0.9% |
| Metric | Value |
|---|---|
| Requests per second | 80-110 |
| Average latency | 1,100ms |
| Success rate (HTTP 200) | 96.5% |
| Timeout rate | 2.0% |
| Connection error rate | 1.5% |
Key takeaways:
requests is fine for low-volume scraping (under 50K requests per day).aiohttp when you need throughput above 20 requests per second.ProxyError: Cannot connect to proxyCause: Incorrect proxy host, port, or credentials.
Fix: Verify your SpyderProxy credentials and ensure the gateway address is correct:
# Double-check this format
proxy_url = "http://USERNAME:[email protected]:11200"Also confirm your account is active and has available bandwidth in the SpyderProxy dashboard.
ConnectionError: SOCKSHTTPSConnectionPoolCause: Missing PySocks package when using SOCKS5 proxies.
Fix:
pip install requests[socks]ConnectTimeout or ReadTimeoutCause: The proxy or target server is slow or overloaded.
Fix: Increase your timeout values and add retry logic:
response = requests.get(url, proxies=proxies, timeout=(15, 45))407 Proxy Authentication RequiredCause: Invalid or missing proxy credentials.
Fix: Make sure your username and password are URL-encoded if they contain special characters:
from urllib.parse import quote
proxy_user = quote("[email protected]", safe="")
proxy_pass = quote("p@ss:word!", safe="")
proxy_url = f"http://{proxy_user}:{proxy_pass}@geo.spyderproxy.com:11200"403 Forbidden from Target SiteCause: The target website detected and blocked the request despite the proxy.
Fix: Combine rotating proxies with realistic headers, proper cookies, and rate limiting. Use residential IPs (SpyderProxy's default) rather than datacenter IPs.
SSLError: certificate verify failedCause: SSL verification issues when routing through the proxy.
Fix: Ensure you're using the latest version of requests and certifi. As a last resort (not recommended for production):
response = requests.get(url, proxies=proxies, verify=False)TooManyRedirectsCause: The target site is redirecting indefinitely, often as a bot detection technique.
Fix: Limit redirects and inspect where the chain leads:
response = requests.get(url, proxies=proxies, allow_redirects=False)
print(response.headers.get("Location"))A rotating proxy assigns a different IP address to each outgoing HTTP request. With SpyderProxy, you connect to a single gateway endpoint (geo.spyderproxy.com), and the server-side infrastructure selects a fresh residential IP from its pool for every request. In Python, you configure this gateway as your proxy in the requests library, and rotation happens automatically without any client-side logic.
No. With a rotating proxy service like SpyderProxy, you connect to one endpoint and the provider handles the pool management, IP rotation, and health checking behind the scenes. This is a significant advantage over free proxy lists, which go stale quickly and have poor reliability.
HTTP proxies understand and can modify HTTP traffic. They work well for web scraping with requests. SOCKS5 proxies operate at a lower level and can handle any TCP traffic, including non-HTTP protocols. SOCKS5 is useful when you need DNS resolution on the proxy side (using socks5h://) or when working with non-HTTP connections. SpyderProxy supports both.
This depends on your SpyderProxy plan and the target server. As a guideline, 20-50 concurrent connections through aiohttp work reliably for most use cases. Going above 100 concurrent connections may increase timeout rates. Start conservatively and scale up while monitoring your success rate.
Yes. Any Python HTTP library that supports proxy configuration will work with SpyderProxy. For httpx:
import httpx
proxy_url = "http://your_username:[email protected]:11200"
with httpx.Client(proxy=proxy_url) as client:
response = client.get("https://httpbin.org/ip")
print(response.json())Rotating sessions assign a new IP to every request. Sticky sessions keep the same IP across multiple requests by appending a session identifier (e.g., -session-abc123) to your proxy username. Use sticky sessions when you need to maintain state across requests, like navigating paginated content or staying logged in.
For most scraping tasks, yes. Residential IPs belong to real ISPs and appear as normal consumer traffic, making them far less likely to trigger bot detection systems. Datacenter IPs are faster and cheaper but are easier for websites to identify and block. SpyderProxy's rotating residential pool gives you the best balance of reliability and stealth.
Web scraping legality depends on what you're scraping, where you're located, and the website's terms of service. Scraping publicly available data is generally permissible, but you should always respect robots.txt directives, avoid scraping personal data without consent, and comply with applicable laws like the CFAA (US), GDPR (EU), and local regulations. This guide is for educational purposes -- consult a legal professional for advice specific to your use case.
You've seen how straightforward it is to integrate rotating proxies with Python. From basic requests setup to async scraping with aiohttp, country targeting, sticky sessions, and production-grade error handling -- SpyderProxy handles the infrastructure so you can focus on your data.
Ready to start scraping without IP blocks?
Sign up for SpyderProxy and get access to millions of rotating residential IPs with simple username/password authentication, country targeting in 195+ locations, and both HTTP and SOCKS5 support. Integration takes less than five minutes with the code examples in this guide.
Start your free trial at spyderproxy.com.