How To Use Proxies For Web Scraping Without Getting Blocked

You start a scraper, send a few requests, and everything looks fine.

Then the responses slow down.

A few requests return 403 Forbidden. Then you get a 429 Too Many Requests. Eventually, the site serves a CAPTCHA or stops responding altogether.

It is tempting to blame the proxy provider at this point. Sometimes the proxy is part of the problem. But in many scraping projects, the bigger issue is that the target website is evaluating much more than the IP address.

A proxy can change the source IP of your request. It cannot automatically make the rest of your traffic look like a normal browser session.

That distinction matters.

A reliable scraping setup usually depends on several things working together: request rate, session management, headers, cookies, browser behavior, proxy quality, error handling, and the rules of the website you are accessing.

This guide explains how proxies fit into that system, when different proxy types make sense, how to configure them in common scraping tools, and how to troubleshoot blocking without assuming that changing IPs will solve everything.

Table of Contents

Why Websites Block Scrapers

Websites generally do not need to identify you personally before they can limit automated traffic. They can make decisions based on patterns in your requests.

The exact signals differ between websites, but common ones include:

Request frequency: A large burst of requests can trigger rate limiting.
HTTP behavior: Headers, methods, cookies, and other request details can reveal inconsistencies.
IP reputation: Some addresses are associated with cloud infrastructure, VPNs, proxies, or previous abuse.
Session behavior: Repeatedly changing IPs while keeping the same account or session can look unusual.
Browser signals: Browser-based systems can evaluate JavaScript execution and other client characteristics.
Response behavior: Repeated retries, failed challenges, or requests for the same resources can create recognizable patterns.

This is why a proxy should not be treated as an anti-detection switch.

For example, imagine a scraper making 1,000 requests from a single address in a short period. Moving those requests through a rotating proxy pool changes the source IPs, but the application may still generate the same request pattern, use the same cookies, and make requests at the same unusual rate.

The IP changed. The behavior did not.

That is an important distinction throughout this article.

What Is a Proxy?

A proxy server sits between your application and the destination server.

Instead of:

Scraper → Website

the connection looks more like:

Scraper → Proxy → Website

For a normal HTTP request, the proxy forwards traffic to the destination and relays the response back to your application.

A basic flow looks like this:

Your scraper creates a request.
The request is sent to the proxy.
The proxy connects to the target website.
The target sends a response back through the connection.
Your scraper receives the response.

The target website will normally see the network address used for the outbound connection rather than your original client address.

That makes proxies useful for several legitimate scraping tasks, including:

distributing requests across different network addresses
testing geographically different responses
isolating workloads
maintaining separate sessions
reducing dependence on a single outbound IP

But a proxy does not make a request anonymous, trustworthy, or human-like by itself.

Which Proxy Type Should You Use?

There is no universal “best proxy.”

The right choice depends on the target, request volume, geographic requirements, session behavior, and budget.

The four categories most commonly discussed in scraping are datacenter, residential, mobile, and ISP proxies.

Datacenter Proxies

Datacenter proxies come from hosting or data-center networks rather than typical residential access networks.

Their biggest advantage is usually performance and cost.

They can make sense when:

the target has limited protection
you need high throughput
the website does not require residential-looking addresses
your workload is primarily backend-to-backend

The downside is that some websites can identify or score cloud and hosting IP ranges differently from residential networks.

That does not mean every datacenter proxy will be blocked. It means IP reputation can be one factor in the decision.

Residential Proxies

Residential proxies use addresses associated with consumer internet connections.

They are often used when the target website treats hosting-network traffic differently from consumer ISP traffic.

Residential proxies can be useful for:

geographically distributed collection
websites where network reputation matters
workloads that need a broad range of ISP-associated addresses

They are normally more expensive than basic datacenter proxies, and their performance can vary.

There is another issue worth understanding: “residential” does not automatically mean “high quality.”

A provider can have a large pool and still deliver poor results for your particular target.

Look at actual success rates, latency, availability, geographic coverage, and the provider’s sourcing practices rather than choosing a service solely because it advertises a large IP pool.

Mobile Proxies

Mobile proxies use addresses associated with cellular networks.

Mobile networks often have different IP allocation characteristics from fixed broadband networks, including shared addresses and carrier-grade NAT.

They can be useful when your application genuinely needs mobile-network locations.

However, they tend to be more expensive and can have different latency and connection characteristics.

They are not automatically a solution for every protected website.

ISP Proxies

ISP proxies are generally marketed as addresses associated with internet service providers while being delivered through infrastructure designed for proxy workloads.

They are often positioned between traditional datacenter and residential offerings.

Their appeal is straightforward: some projects want relatively stable addresses while still using ISP-associated network space.

Whether they perform well depends on the provider, the target website, and how the traffic is used.

Proxy Comparison

❮ Swipe table left/right ❯

Proxy type	Typical advantage	Common drawback	Good fit
Datacenter	Fast and efficient	Hosting IP reputation may matter	High-volume, lightly protected targets
Residential	Broad ISP/location coverage	Higher cost and variable performance	Geo-specific or more sensitive workloads
Mobile	Cellular network coverage	Cost and variable connectivity	Mobile-network testing and specialized collection
ISP	Stable ISP-associated addresses	Quality varies by provider	Workloads needing stable network identity

Do not choose a proxy type solely from this table.

A better approach is to test a representative sample of your actual targets.

How Proxy Rotation Works

Proxy rotation means changing the outbound proxy address according to a defined rule.

The rule might be:

every request
after a fixed number of requests
after a period of time
when a proxy starts failing
between independent sessions

A provider may expose this through a single gateway endpoint.

Your application connects to something like:

gateway.example.com:7777

The provider then decides which proxy in the pool handles the outbound connection.

This is often easier than maintaining a large list of individual IP addresses in your application.

But there is a common mistake here:

More rotation does not always mean better scraping.

Suppose a website expects a session to remain consistent while you navigate through several pages.

If the IP changes on every request, you may create a less consistent session rather than a better one.

This is where sticky sessions become useful.

When Should You Use Sticky Sessions?

A sticky session keeps the same proxy identity for multiple requests for a period of time.

That can help with workflows such as:

authenticated sessions
multi-page navigation
carts and checkout flows
form submissions
applications that associate session state with network information

For example:

Request 1 → Proxy A
Request 2 → Proxy A
Request 3 → Proxy A
Request 4 → Proxy A

Instead of:

Request 1 → Proxy A
Request 2 → Proxy B
Request 3 → Proxy C
Request 4 → Proxy D

The correct choice depends on how the target application manages sessions.

There is no universally correct rotation interval.

Start from the application’s session requirements, not from a generic rule such as “rotate every five requests.”

Do Not Assume Per-Request Rotation Is Always Better

Per-request rotation can be useful for workloads where requests are largely independent.

For example, a job collecting unrelated public product pages may not need a persistent session.

An authenticated workflow is different.

Changing the proxy identity in the middle of a session can contribute to:

authentication failures
session invalidation
additional challenges
inconsistent application state
harder-to-debug failures

This is one reason why scraping architecture should be designed around the target workflow rather than simply maximizing the number of available IPs.

Setting Up a Proxy in Python Requests

Python’s Requests library supports proxy configuration through the proxies parameter.

A basic example:

import requests

proxies = {
    "http": "http://user:[email protected]:7777",
    "https": "http://user:[email protected]:7777",
}

response = requests.get(
    "https://example.com",
    proxies=proxies,
    timeout=30,
)

print(response.status_code)

For production workloads, add error handling and sensible timeouts.

For example:

import requests

proxies = {
    "http": "http://user:[email protected]:7777",
    "https": "http://user:[email protected]:7777",
}

try:
    response = requests.get(
        "https://example.com",
        proxies=proxies,
        timeout=30,
    )

    response.raise_for_status()
    print(response.text[:500])

except requests.Timeout:
    print("The request timed out.")

except requests.RequestException as exc:
    print(f"Request failed: {exc}")

That is more useful than simply changing proxies after every exception.

A scraper should distinguish between temporary network failure, rate limiting, authentication problems, and permanent HTTP errors.

Manual Proxy Rotation in Python

You can also maintain your own proxy pool.

import random
import requests

proxy_list = [
    "http://user:[email protected]:8000",
    "http://user:[email protected]:8000",
    "http://user:[email protected]:8000",
]

proxy = random.choice(proxy_list)

proxies = {
    "http": proxy,
    "https": proxy,
}

response = requests.get(
    "https://example.com",
    proxies=proxies,
    timeout=30,
)

print(response.status_code)

In a real application, random selection is only the beginning.

A better proxy manager can keep track of:

recent failures
response time
last-used time
authentication errors
temporary rate limits
proxy health

That lets your application stop repeatedly sending requests through a proxy that is already failing.

Using Proxies with Scrapy

Scrapy supports proxy settings through request metadata.

A simplified example:

import scrapy

class ExampleSpider(scrapy.Spider):
    name = "example"

    def start_requests(self):
        yield scrapy.Request(
            "https://example.com",
            meta={
                "proxy": "http://user:[email protected]:7777"
            },
        )

For larger projects, proxy selection is better handled in middleware or another centralized component.

This makes it easier to apply the same rules to every outgoing request instead of repeating proxy logic across spiders.

Using Proxies with Selenium

Browser automation tools can also use proxies.

For Selenium:

from selenium import webdriver
from selenium.webdriver.chrome.options import Options

options = Options()
options.add_argument(
    "--proxy-server=http://gateway.example.com:7777"
)

driver = webdriver.Chrome(options=options)

driver.get("https://example.com")
print(driver.title)

driver.quit()

The exact configuration can differ depending on the browser, Selenium version, authentication method, and proxy provider.

Using Proxies with Playwright

Playwright supports proxy configuration when launching a browser.

A simplified example:

from playwright.sync_api import sync_playwright

with sync_playwright() as p:
    browser = p.chromium.launch(
        proxy={
            "server": "http://gateway.example.com:7777",
            "username": "user",
            "password": "password",
        }
    )

    page = browser.new_page()
    page.goto("https://example.com")

    print(page.title())

    browser.close()

Browser-level scraping changes the problem somewhat.

You now have a complete browser environment that may include cookies, JavaScript, storage, navigation state, and other characteristics that are not present in a simple HTTP client.

That can make browser automation useful for dynamic sites, but it also introduces more complexity and resource usage.

Proxies Are Only One Part of the System

This is where many proxy guides oversimplify things. A proxy changes how your requests reach a website, but it does not automatically hide or change everything about your scraping setup. A website can still look at different parts of the connection and the way your scraper behaves to determine whether the traffic looks legitimate.

Request Rate

Start here before buying a larger proxy pool.

If your scraper sends requests too aggressively, rotating through more addresses may simply distribute an overly aggressive workload.

Instead, introduce appropriate concurrency limits and respect the site’s published or observed rate limits.

Headers

HTTP headers provide information about the request environment.

Common headers include:

User-Agent
Accept
Accept-Language
Accept-Encoding
Referer

The important principle is consistency.

Do not randomly combine browser versions, operating systems, and header sets that do not make sense together.

A fake browser signature can be worse than a clear, stable client identity when the target expects predictable API or application behavior.

Cookies and Sessions

Cookies are a normal part of how websites remember users and maintain a session.

If your scraper deletes every cookie after each request, it may behave very differently from a normal browser that keeps cookies throughout a session. That difference can sometimes cause unexpected logins, broken sessions, or other application behavior.

Before changing how your scraper handles cookies, first understand what the target website actually needs.

For authenticated workflows, keeping a valid session is often more important than simply switching to a different IP address. A new IP does not help much if the session itself keeps getting reset.

Browser Characteristics

When you use a browser automation tool, a website can receive more information about your client than it would from a basic HTTP request.

For example, JavaScript can expose details about the browser environment, device configuration, and other client-side characteristics. A website may consider these details alongside other signals when evaluating a request.

The takeaway is not that you need to change every browser fingerprint.

In most cases, it is more useful to keep the browser environment consistent and make sure it behaves normally for the workflow you are running.

TLS and HTTP Client Characteristics

Different HTTP clients can have different network-level characteristics, including differences in how they establish connections and format requests.

These characteristics can be useful as part of broader traffic analysis, but they are not definitive proof that a request comes from a scraper. No single TLS or HTTP signal tells the whole story.

That’s why fingerprinting is better understood as one signal among many, rather than a magic detector that can automatically identify every scraper.

Add Delays for Reliability, Not to Pretend to Be Human

Random delays are often recommended as an anti-bot trick.

A better way to think about delays is workload control.

For example:

import random
import time

time.sleep(random.uniform(1.5, 4.0))

A variable delay can reduce bursts and help keep your crawler within a reasonable request rate.

But there is an important distinction:

A random delay does not make a scraper human.

A crawler sending thousands of requests with slightly different delays can still be clearly automated.

Use delays to control load and comply with reasonable limits, not as a guarantee of evading detection.

What to Do When You Receive 403 or 429

Do not immediately rotate to a new proxy and repeat the same request.

First identify what happened.

HTTP 403

403 Forbidden means the server understood the request but is refusing to authorize it.

The reason can vary.

It may involve access controls, authentication, policy restrictions, or automated traffic detection.

HTTP 429

429 Too Many Requests indicates that the client has sent too many requests in a given period.

This is a strong reason to reduce request frequency rather than simply increasing proxy rotation.

A sensible response is:

Respect the server’s retry information when provided.
Reduce concurrency.
Increase the delay before another request.
Check whether your crawler is accidentally duplicating requests.
Review the site’s documented limits.
Pause the affected workload when necessary.

A proxy change should not be the first response to every 429.

Build Retry Logic Carefully

A weak scraper often does this:

Request fails
↓
Change proxy
↓
Retry immediately
↓
Request fails
↓
Change proxy
↓
Retry immediately

That can turn a small problem into a much larger traffic spike.

A more robust design includes backoff:

Request
↓
Temporary failure?
↓
Wait
↓
Retry
↓
Still failing?
↓
Increase backoff
↓
Stop after retry limit

For example:

import time
import requests

for attempt in range(4):
    try:
        response = requests.get(
            "https://example.com",
            timeout=30,
        )

        if response.status_code == 429:
            wait = 2 ** attempt
            time.sleep(wait)
            continue

        response.raise_for_status()
        print("Success")
        break

    except requests.RequestException as exc:
        wait = 2 ** attempt
        print(f"Request failed: {exc}")
        time.sleep(wait)

Production systems should use more sophisticated handling, but the principle is important: retries should reduce pressure rather than multiply it.

Monitor More Than Success Rate

A single success-rate metric can hide important problems.

For scraping workloads, track at least:

Success rate: How many requests return the expected result?
Latency: Is the target becoming slower?
Status-code distribution: Are 403, 429, 5xx, or redirects increasing?
Challenge rate: Are CAPTCHA or verification pages appearing more frequently?
Proxy health: Are particular IPs or regions failing more often?
Data quality: Are successful HTTP responses actually containing the data you expected?

That last metric is easy to overlook.

A 200 OK response does not necessarily mean successful extraction.

The page could contain:

an error message
a login page
a challenge page
an incomplete response
placeholder content

A scraper should validate the returned content, not only the HTTP status.

A Better Proxy Strategy

Instead of trying to build the largest possible proxy pool, start with a smaller and measurable system.

A practical workflow looks like this:

Step 1: Understand the target

Identify whether the target is:

static HTML
JavaScript-heavy
login-based
geographically personalized
rate limited
protected by an anti-automation service

Step 2: Start conservatively

Use low concurrency and a reasonable request rate.

Measure what happens before scaling.

Step 3: Choose the simplest proxy type that works

Do not automatically buy residential or mobile proxies when a datacenter setup is sufficient.

Step 4: Separate sessions where necessary

Authenticated and multi-step workflows often benefit from session persistence.

Step 5: Track failures

Store enough information to answer:

Which endpoint failed?
Which proxy was used?
Which status code was returned?
How long did the request take?
Did the response contain the expected data?

Step 6: Back off when the target signals overload

A 429 is information.

Treat it as information rather than as an invitation to send the next request through ten more IP addresses.

Step 7: Scale only after validation

Once the crawler works reliably at a small scale, increase concurrency gradually.

This approach makes troubleshooting much easier because you can identify which change caused performance to improve or deteriorate.

How Many Proxies Do You Need?

There is no reliable universal number.

The answer depends on:

requests per minute
concurrency
session requirements
target rate limits
geographic coverage
proxy quality
response time
how many separate websites you are accessing

For example, a crawler making 500 slow requests per day does not have the same requirements as a system making thousands of concurrent requests.

A large pool can also be unnecessary if your real bottleneck is:

browser rendering
database writes
parsing
authentication
JavaScript execution
target-side rate limiting

Think in terms of workload capacity instead of IP count.

How to Evaluate a Proxy Provider

Provider marketing often focuses on pool size.

That is useful, but it is not enough.

Before choosing a provider, evaluate:

Network coverage

Does the provider have the countries, regions, cities, or network types your application actually needs?

Reliability

Look at connection success, uptime, timeout behavior, and how often endpoints become unavailable.

Rotation controls

Can you use both rotating and sticky sessions when required?

Authentication

Check whether the provider supports the authentication method your infrastructure expects.

Protocols

Make sure the service supports the protocols and software you use.

Monitoring

A useful dashboard can help you understand bandwidth, errors, session usage, and proxy health.

Pricing model

Compare the pricing unit with your workload.

A low per-gigabyte price is not necessarily cheaper if your requests generate large browser payloads.

Sourcing and compliance

For residential and mobile networks especially, understand how the provider obtains access to its IP pool.

This is not just a legal question. It is also a trust and reliability consideration.

Should You Use a Proxy or a VPN?

They solve different problems.

A VPN generally routes broader device or network traffic through a VPN server.

A proxy is usually configured for a particular application, protocol, or workload.

For a scraping application that needs different outbound addresses or per-session network routing, proxies can be more flexible.

But saying “proxies are always better for scraping” is too broad.

A VPN can still be useful for:

securing developer traffic
connecting to a private environment
testing regional access
protecting administrative connections

Choose the tool based on the networking problem you are actually solving.

What About Free Proxies?

Free public proxies are generally a poor choice for production scraping.

The issue is not simply speed.

You also have limited control over:

availability
reliability
IP reputation
ownership
logging practices
abuse history
geographical accuracy

A free proxy may work for a quick connectivity test, but it is difficult to build a dependable production data pipeline around an unknown public proxy.

For production workloads, use a provider you can evaluate and hold accountable.

The Legal and Ethical Side of Web Scraping

Technical access and legal permission are not the same thing.

A page being publicly accessible does not automatically mean that every possible way of collecting, storing, republishing, or using its data is permitted.

Depending on the jurisdiction and the project, you may need to consider:

website Terms of Service
privacy and personal-data laws
copyright
database rights
authentication restrictions
contractual obligations
computer misuse or unauthorized-access laws
industry-specific requirements

U.S. court decisions involving public website data have shaped the discussion around unauthorized access and scraping, but those cases should not be interpreted as a blanket statement that all public-web scraping is legal.

The details matter.

For a commercial or high-risk project, obtain appropriate legal advice rather than relying on a generic scraping guide.

Practical rules for responsible scraping

Check the site’s published policies.
Respect technical access restrictions.
Follow applicable rate limits.
Avoid collecting unnecessary personal information.
Store collected data securely.
Stop when the target clearly indicates that automated access is not permitted.
Do not assume that a proxy makes a prohibited activity acceptable.

A technically successful scraper can still be a poorly designed system if it ignores these considerations.

Troubleshooting Checklist

When scraping suddenly stops working, work through the problem systematically.

The entire crawler fails

Check:

proxy credentials
DNS resolution
proxy connectivity
network firewall rules
provider outage
destination availability

Only some targets fail

Check:

target-specific rate limits
IP reputation
geographic restrictions
authentication
target-specific application behavior

You receive many 429 responses

Reduce:

concurrency
request frequency
duplicate requests
retry speed

Check the response for retry guidance.

You receive 403 responses

Review:

access permissions
request headers
session state
cookies
target-side policies
whether the resource requires authentication

Do not assume that replacing the proxy is enough.

HTTP requests work but browser automation fails

Check:

proxy configuration
browser startup
authentication
JavaScript behavior
cookies and session storage
resource consumption

Requests return 200 but extraction is broken

Validate the actual response body.

Look for:

login pages
challenge pages
empty templates
error messages
unexpected redirects
changed HTML structure

This is one of the most important production lessons: HTTP success is not the same as extraction success.

A Practical Architecture for Reliable Scraping

A mature scraping system can be separated into several layers:

                 ┌──────────────────┐
                 │   Scraper Queue   │
                 └────────┬─────────┘
                          │
                          ▼
                 ┌──────────────────┐
                 │ Request Manager  │
                 └────────┬─────────┘
                          │
                ┌─────────┴─────────┐
                ▼                   ▼
        ┌──────────────┐    ┌──────────────┐
        │ Session Mgmt │    │ Rate Control │
        └──────┬───────┘    └──────┬───────┘
               │                   │
               └─────────┬─────────┘
                         ▼
                 ┌──────────────────┐
                 │  Proxy Manager   │
                 └────────┬─────────┘
                          │
                          ▼
                    Target Website
                          │
                          ▼
                 ┌──────────────────┐
                 │ Response Parser  │
                 └────────┬─────────┘
                          │
                          ▼
                 ┌──────────────────┐
                 │ Data Validation  │
                 └──────────────────┘

Notice that the proxy manager is only one component.

That is deliberate.

The most reliable systems do not treat proxies as the entire scraping strategy.

Frequently Asked Questions

Do proxies prevent IP bans?

No.

A proxy can change the IP address visible to the destination, but websites may use many other signals to identify or limit automated traffic.

Think of a proxy as a networking tool, not a guarantee against blocking.

Does rotating proxies make a scraper look human?

No.

Rotation changes network identity. It does not recreate human browsing behavior.

Cookies, sessions, request timing, browser state, client characteristics, and navigation patterns can all remain different from a real user.

Should I rotate the IP on every request?

Not necessarily.

Per-request rotation can work for independent requests, but session-based workflows may benefit from a stable proxy for multiple requests.

Choose rotation behavior based on the application.

Are residential proxies always better than datacenter proxies?

No.

Residential proxies can be useful when network reputation or geographical coverage matters, but datacenter proxies can be faster, simpler, and more cost-effective for suitable targets.

Test the workload rather than assuming one proxy category always wins.

Can websites detect residential proxies?

Yes.

“Residential” describes the network type, not an undetectable status.

A website can use signals other than the IP address.

Is a 429 response a sign that I need more proxies?

Not automatically.

A 429 Too Many Requests response is primarily a signal that the request rate is too high for the server’s current policy.

Reduce request pressure first.

What is better for login-based scraping?

A stable session is often more useful than aggressive IP rotation.

Keep the session, cookies, authentication state, and proxy behavior consistent unless the target application requires something different.

How do I know whether my proxy is the problem?

Test the same workload with controlled variables.

Compare:

direct connection
proxy A
proxy B
different geographic locations
different concurrency levels

Keep the target, request pattern, and application behavior as consistent as possible.

This gives you much better evidence than switching several variables at once.

Final Takeaway

A proxy can be an important part of a web scraping infrastructure, but it is not a magic shield that prevents websites from blocking your scraper.

The biggest improvements usually come from treating scraping as a complete system rather than relying on a single trick.

Start by understanding what the target website actually requires. Keep request rates reasonable, maintain sessions when the application depends on them, and monitor both HTTP responses and the content you receive. Choose the simplest proxy setup that works reliably, add sensible retries with backoff, and measure the results before increasing your workload.

Most importantly, changing your IP address does not make your scraper invisible.

A reliable scraping setup combines several pieces: predictable network behavior, sensible session management, stable infrastructure, proper error handling, and careful monitoring. It should also take into account the technical rules and legal requirements that apply to the websites being accessed.

This approach is not only more sustainable. It also makes your scraper easier to troubleshoot, more predictable under load, and often less expensive to operate as your workload grows.

Evidence and Technical References

For the technical concepts covered in this guide, the following primary or authoritative sources are useful starting points:

Python Requests documentation: Proxy configuration and HTTP request handling.
Scrapy documentation: Request metadata, downloader middleware, and proxy configuration.
Selenium documentation: Browser configuration and proxy capabilities.
Playwright documentation: Browser and context proxy configuration.
RFC 6585: Defines HTTP 429 Too Many Requests.
RFC 9110: Covers HTTP semantics and status codes, including 403 Forbidden.
RFC 9309: Defines the Robots Exclusion Protocol (robots.txt).
Applicable laws and court decisions: For legal questions, use primary sources relevant to the jurisdiction rather than relying on general scraping guides.

Keep provider-specific information such as pricing, proxy pool sizes, performance claims, and benchmark results separate from the technical fundamentals. These details can change over time, so they should be checked against current provider documentation or independent testing before publication.

How to Use Proxies for Web Scraping Without Getting Blocked

Why Websites Block Scrapers

What Is a Proxy?

Which Proxy Type Should You Use?

Datacenter Proxies

Residential Proxies

Mobile Proxies

ISP Proxies

Proxy Comparison

How Proxy Rotation Works

When Should You Use Sticky Sessions?

Do Not Assume Per-Request Rotation Is Always Better

Setting Up a Proxy in Python Requests

Manual Proxy Rotation in Python

Using Proxies with Scrapy

Using Proxies with Selenium

Using Proxies with Playwright

Proxies Are Only One Part of the System

Request Rate

Headers

Cookies and Sessions

Browser Characteristics

TLS and HTTP Client Characteristics

Add Delays for Reliability, Not to Pretend to Be Human

What to Do When You Receive 403 or 429

HTTP 403

HTTP 429

Build Retry Logic Carefully

Monitor More Than Success Rate

A Better Proxy Strategy

Step 1: Understand the target

Step 2: Start conservatively

Step 3: Choose the simplest proxy type that works

Step 4: Separate sessions where necessary

Step 5: Track failures

Step 6: Back off when the target signals overload

Step 7: Scale only after validation

How Many Proxies Do You Need?

How to Evaluate a Proxy Provider

Network coverage

Reliability

Rotation controls

Authentication

Protocols

Monitoring

Pricing model

Sourcing and compliance

Should You Use a Proxy or a VPN?

What About Free Proxies?

The Legal and Ethical Side of Web Scraping

Practical rules for responsible scraping

Troubleshooting Checklist

The entire crawler fails

Only some targets fail

You receive many 429 responses

You receive 403 responses

HTTP requests work but browser automation fails

Requests return 200 but extraction is broken

A Practical Architecture for Reliable Scraping

Frequently Asked Questions

Do proxies prevent IP bans?

Does rotating proxies make a scraper look human?

Should I rotate the IP on every request?

Are residential proxies always better than datacenter proxies?

Can websites detect residential proxies?

Is a 429 response a sign that I need more proxies?

What is better for login-based scraping?

How do I know whether my proxy is the problem?

Final Takeaway

Evidence and Technical References

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