How to Choose a Sustainable Web Scraping Proxy Setup Without Burning Through Providers
Direct Answer Block
A sustainable proxy setup prevents the cycle of exhausting IP pools, triggering rate limits, and constantly switching proxy providers for web scraping operations. You achieve sustainability by making four deliberate decisions: selecting a rotation strategy matched to your workflow (per-request for high-volume crawling, sticky sessions for authentication), choosing residential proxy providers with verifiable ethical sourcing, implementing proactive health monitoring before failures cascade, and maintaining multi-provider redundancy to avoid vendor lock-in.
This approach fits when: your web scraping operations run continuously, you need to control cost-per-successful-request, and you cannot afford unpredictable downtime from provider churn.
This approach does not fit when: you have one-time extraction needs, extremely low request volumes, or can tolerate manual intervention for every failure.
Risk boundary: Using unethically sourced proxies creates legal liability and unstable pools. Constant IP hopping raises red flags for sophisticated site defenses. Budget 30-40% above expected usage for overages.
Next actions: (1) Audit your current rotation settings against the decision matrix below. (2) Run the procurement due diligence checklist against your existing provider. (3) Implement the monitoring metrics template before your next production run.
Understanding What "Burning Through Providers" Actually Means
When technical teams complain about burning through proxy providers for web scraping, they describe a cluster of related failures: rapid IP pool exhaustion where usable addresses shrink faster than the provider replenishes them, escalating block rates that make success increasingly expensive, hidden cost overruns from retries and bandwidth spikes, and eventually the operational decision to abandon one provider for another—only to repeat the cycle.
This happens because blocked requests are one of the most wasteful parts of a scraping operation. Every time a request is denied, you pay the price in proxy consumption, retry loops, and wasted infrastructure. The cost compounds: failed requests consume bandwidth you're billed for, retries multiply load on degrading pools, and by the time you notice the trend, you've already committed budget to a provider that cannot sustain your workload.
Vendor lock-in makes this worse. Lock-in makes a customer dependent on a vendor for products, unable to use another vendor without substantial switching costs. When your only provider degrades, you face the choice between accepting poor performance or incurring those switching costs mid-project.
A sustainable web scraping proxy service breaks this pattern by front-loading evaluation decisions, matching rotation configuration to actual workload requirements, and treating monitoring as preventive maintenance rather than post-mortem analysis.
Rotation Strategy Decision: Per-Request vs. Sticky Sessions
The choice between rotation strategies determines how quickly you consume your IP pool and how reliably your web scraping proxy maintains session state.
Decision: Match Rotation Mode to Workflow State Requirements
Use per-request rotation when you need high-volume scraping across many targets without maintaining state. Frequent IP rotation prevents any single IP from making too many requests, reducing the likelihood of triggering anti-scraping mechanisms. However, this approach has higher request billing and accelerates pool consumption.
Use sticky sessions (10-30 minutes) when your workflow requires authentication, shopping carts, or multi-step processes. For websites requiring authentication, it is essential to maintain session consistency with the same IP address. If the proxy server changes, the authentication might fail. Use sticky sessions for accounts lasting 10-30 minutes; for mass crawling, use per-request or timed rotation.
Avoid constant IP hopping: Constant IP hopping can raise red flags for sophisticated site defenses. IP sessions provide a balance by reusing an IP just enough before transitioning.
How to Validate Your Rotation Choice
Measure session breakage rate: Track how often authenticated sessions fail after IP changes
Compare success rates between rotation modes on your specific targets
Monitor cost-per-successful-request across different rotation intervals
Log the ratio of unique IPs used vs. successful requests completed
Failure Signals
| Symptom | Likely Cause | What to Measure Next |
|---|---|---|
| Auth sessions drop repeatedly | IP changed mid-session | Session duration vs. rotation interval |
| Success rate drops despite rotation | Over-aggressive rotation triggering defenses | Requests per IP before rotation |
| Pool exhausts faster than expected | Rotation interval too short | Unique IPs consumed per hour |
Rotation Strategy Decision Matrix
| Strategy | Duration | Best For | Detection Risk | Cost Note |
|---|---|---|---|---|
| Per-request | Single request | High-volume scraping, rotating proxies for web scraping | Medium | Higher request billing |
| Timed (10-30 min) | 10-30 minutes | Auth sessions, shopping carts | Low | Session fees may apply |
| Sticky (1-24 hr) | Hours | Account management, multi-step workflows | Low if human-like | Higher per-session cost |
Next steps:
[ ] Audit your current rotation interval against target site rate limits
[ ] Test session-based rotation for any workflow requiring authentication
[ ] Set rotation intervals based on target website's rate limits and response patterns
For common rotation configuration questions, check our FAQ section.
Proxy Type Selection for Web Scraping
Choosing between datacenter, residential, ISP, and mobile proxies affects detection risk, speed, and cost. The best proxy for web scraping depends on your target site's defenses and your budget constraints. For detailed information on residential options, see our residential proxies documentation.
Decision: Select Proxy Type Based on Target Sensitivity
Datacenter proxies are accessible, reliable, and cheap but easily detectable. They're recommended for teams with engineering resources to reverse engineer targets and for scraping public sites with minimal defenses.
Residential proxies have IPs assigned by ISPs with lower risk of being flagged. They're more reliable for protected sites but pricier with potential session persistency issues. Residential proxies represent a significant investment, making cost optimization crucial for sustainable operations.
ISP/Static proxies combine residential-level trust with datacenter-like consistency. Use these for long sessions and payment flows where IP stability matters.
Mobile proxies offer the lowest detection risk but come at premium prices. Reserve them for mobile-specific content and social platforms.
Proxy Type Decision Matrix
| Type | Detection Risk | Speed | Cost Range | Best For |
|---|---|---|---|---|
| Datacenter | High | Fastest | $1-5/GB | Public sites, bulk tasks |
| Residential | Low | Medium | $1.50-15/GB | Protected sites, geo-targeting |
| ISP/Static | Low | Fast | $12+/IP | Long sessions, payment flows |
| Mobile | Very Low | Variable | Premium | Mobile content, social platforms |
Protocol Considerations
HTTP proxies are more widely adopted by providers and client libraries. SOCKS5 tends to be faster, more stable, and more secure. Verify your scraping framework supports your chosen protocol.
IPv6 provides a huge address space and is more cost-effective for scaling, but some platforms don't support it perfectly. Test target compatibility before committing to IPv6-primary configurations.
Cost Optimization Through Tier Mixing
A multiplexed strategy often halves total spend: fetch category pages with cheap datacenter IPs, then upgrade only the add-to-cart steps to residential. This approach matches proxy cost to detection risk at each step.
Next steps:
[ ] Classify your targets by detection sensitivity
[ ] Test datacenter proxies on low-risk targets before defaulting to residential
[ ] Implement tier mixing for multi-step workflows
Provider Evaluation: Procurement Due Diligence Checklist
Before committing to any web scraping proxies provider, run this checklist to avoid the sustainability traps that force provider churn. For a complete overview of proxy services and capabilities, visit our main site.
Procurement Due Diligence Checklist
Ethical Sourcing
| Question | Evidence to Request | Red Flags |
|---|---|---|
| How are residential IPs obtained? | Documented consent mechanism | No explanation of sourcing; vague "partnerships" |
| Are IP contributors compensated? | Compensation model documentation | Reliance on malware-infected devices |
| Does provider hold certifications? | EWDCI certification or equivalent | No third-party verification |
| Is there a KYC process? | KYC policy documentation | Anonymous signup with no verification |
| What is the acceptable use policy? | Published AUP | No AUP or overly permissive terms |
Ethical proxy sourcing requires explicit user consent before allowing them to share their internet traffic. Partners must provide clear information to peers about the use of their IP addresses for informed choice. EWDCI certification indicates adherence to ethical guidelines for web data collection.
Technical Capability
| Question | Evidence to Request | Red Flags |
|---|---|---|
| What is the residential pool size? | Verified IP count | Claims below 1M for residential |
| Does geographic coverage match needs? | Coverage map by country/city | Poor coverage in your target regions |
| What rotation options are available? | Per-request, timed, sticky (up to 24hr) | Limited rotation flexibility |
| What protocols are supported? | HTTP/SOCKS5 documentation | Single protocol only |
A quality residential proxy provider should offer at least 1-10 million IP addresses. IP diversity, rotation frequency, and geographic distribution are equally important as pool size. Providers should offer rotation options including per-request, time-based/sticky sessions, and persistent sessions up to 24 hours.
Performance
| Question | Evidence to Request | Red Flags |
|---|---|---|
| Is a trial period available? | Trial terms | No trial or very short trial |
| What success rates are claimed? | Success rate methodology | Claims without verification method |
| What are response time benchmarks? | P50/P95 response times | No latency data |
| What is the uptime SLA? | SLA documentation | Below 99% or no SLA |
Residential proxies typically achieve 85-95% success rates with quality providers. Response times should consistently stay under 1000ms for most applications, with uptime guarantees of 99%+. Success rates matter more than raw speed—a provider with 95% success rates delivers more value than one with faster speeds but frequent failures.
Lock-in Risk
| Question | Evidence to Request | Red Flags |
|---|---|---|
| Are monthly options available? | Pricing tiers | Annual commitment required upfront |
| What authentication methods exist? | Auth documentation | Proprietary auth only |
| Can usage data be exported? | Export capability | No data portability |
| What is the exit process? | Cancellation terms | Difficult exit procedures |
The use of open standards and alternative options makes systems tolerant of change. Vendor lock-in does the opposite. Avoid platform lock-in, data lock-in, and tools lock-in by choosing providers with standard authentication and data portability.
Cost Transparency
| Question | Evidence to Request | Red Flags |
|---|---|---|
| Is the pricing model clear? | Pricing documentation | Unclear billing basis |
| Are overage charges disclosed? | Overage rate schedule | Hidden or unclear overages |
| Are there hidden fees? | Complete fee schedule | Geo premiums, session fees undisclosed |
| Is a usage dashboard available? | Dashboard access during trial | No real-time usage visibility |
Common hidden costs include overage charges (often 50-100% higher than base rates), geographic premium fees, and setup/integration developer time. Budget 30-40% above expected usage for overages and unexpected usage spikes.
Provider Benchmark Thresholds
When evaluating proxy providers for web scraping, use these benchmarks to validate claims during trial periods.
Provider Benchmark Matrix
| Criterion | Minimum Acceptable | Target | Why It Matters |
|---|---|---|---|
| Success Rate | 85% | 95%+ | Failed requests waste budget on retries |
| Response Time | <1500ms | <1000ms | Slow proxies bottleneck your entire pipeline |
| Uptime SLA | 99% | 99.9% | Downtime forces emergency provider switches |
| IP Pool Size | 1M+ | 10M+ | Larger pools reduce burn rate per IP |
| Ethical Sourcing | Documented | EWDCI Certified | Unethically sourced pools degrade unpredictably |
Monitor key metrics like success rates, response times, and geographic accuracy during trial periods. Pay attention to regional response times and thread limits per port, as these factors impact scalability.
Validation approach: A success rate above 99% indicates well-managed rotation logic, quality IP sourcing, and effective session handling. If your trial shows results significantly below these thresholds, the provider may not sustain your production workload.
Multi-Provider Architecture for Redundancy
Single-provider dependency creates fragility. When your provider experiences pool degradation or outages, your entire operation halts.
Decision: Implement Failover Before You Need It
Consider implementing a system that automatically switches to alternative servers when issues are detected. Create a proxy chain with Redundancy or Load Balancing type for failover. If the first proxy in such a chain fails, the system marks it as failed and tries the next one.
Failover Pattern
The failover mechanism works as follows: when a connection timeout occurs (typically 10 seconds), the system marks the primary proxy as failed and automatically switches to the backup. The log pattern looks like:
Could not connect to proxy primary.example.net - connection timeout (10 sec) New active proxy is backup.example.net
A checked proxy can be marked as [failed] and ignored, allowing failover without removing the proxy from configuration.
Reducing Lock-in Through Standard Integration
If a request encounters a connection problem, block, or captcha, the system should automatically retry the request using a different proxy server. Implement this at your application layer so that switching providers requires configuration changes, not code changes.
Your proxy management system should detect various blocking mechanisms including captchas, redirects, blocks, and ghosting. Build detection logic that works across providers rather than relying on provider-specific APIs.
Next steps:
[ ] Configure a secondary provider before your primary shows degradation
[ ] Implement automatic failover with configurable timeout thresholds
[ ] Test provider switching during low-traffic periods
Risk Boundary Box: Critical Risks in Proxy Operations
Understanding these risks prevents the failures that force provider churn.
Risk Boundary Matrix
| Category | Risk | Consequence | Compliant Risk Reduction |
|---|---|---|---|
| Ethical/Legal | Unethically sourced proxies | Legal liability; unstable pools that degrade unpredictably | Verify EWDCI certification; audit sourcing documentation; confirm KYC process exists |
| Vendor | Single-provider lock-in | Complete operational halt if provider fails | Maintain secondary provider; use standard authentication methods; ensure data exportability |
| Cost | Hidden overages/budget exhaustion | Unexpected invoices; forced downgrade mid-project | Budget 30-40% buffer above expected usage; implement daily spend monitoring |
| Technical | Over-aggressive rotation | Accelerated IP burn; pool exhaustion | Balance rotation frequency with session duration; monitor unique IPs consumed |
| Technical | Session inconsistency | Authentication failures; broken workflows | Use sticky sessions for auth paths; maintain same IP for controlled request counts |
| Operational | Silent failures | Wasted spend without successful data collection | Implement proactive monitoring with alerts; track retry rates and error codes |
Ethical sourcing note: KYC verification processes help prevent fraudulent use of proxy services. Users get compensated fairly for bandwidth sharing when ethically sourced, and each IP address in the network is authentic. Conversely, proxies from compromised devices create legal exposure and unstable availability.
Free proxy warning: When considering a free proxy for web scraping, recognize that free proxies for web scraping come with severe limitations. Popular or public proxy servers often get overwhelmed with requests, leading to slow responses, timeouts, or connection refusals. Implementations using free proxies for web scraping python face the same constraints—the underlying proxy infrastructure limitations apply regardless of your client language. If you must use web scraping free proxies or a web scraping free proxy, implement strict monitoring for these failure modes. A free proxy server for web scraping cannot provide the stability needed for production workloads.
Cost Monitoring and Bandwidth Optimization
Residential proxies represent a significant investment, making cost optimization crucial for sustainable operations.
Decision: Measure Cost Drivers Before Optimizing
Most proxy billing comes down to three metrics: bandwidth (GB transferred), successful requests, and sticky session duration. Understand which model your provider uses before implementing optimizations.
Cost Optimization Techniques
Enable compression: Make sure your scraper sends Accept-Encoding: br,gzip so the origin compresses the response before the proxy meters it.
Use HEAD requests for verification: When you only need to verify that a page exists or retrieve headers like Last-Modified, issue a HEAD request—it returns zero body bytes.
Implement caching: Content that rarely changes can be cached locally or in a CDN layer. Each cache hit is one billable proxy request avoided.
Delta scraping: Only pull updated or new data rather than rescraping everything on each run. A lightweight monitor script can periodically check for update signals (e.g., updated timestamps or version numbers), then trigger the heavier scraper only when changes are detected.
Tier mixing: Fetch category pages with cheap datacenter IPs, then upgrade only the add-to-cart steps to residential proxies. A multiplexed strategy often halves total spend without reducing success rates.
Pricing Model Selection
Pay-per-GB is typically more cost-effective for high-volume data scraping, while session-based pricing works better for lightweight, frequent requests. Match your pricing model to your actual traffic pattern.
Cost Reference Ranges
For budget planning purposes, typical ranges for residential proxy spend:
Small business monitoring: $125-387/month
Medium-scale scraping: $400-1,425/month
Enterprise operations: $1,500-2,850+/month
These ranges assume efficient implementation. Inefficient rotation and retry storms can multiply costs significantly.
Health Monitoring: Measurement Plan Template
Continuous monitoring helps identify issues before they become problems and optimizes proxy usage over time. Monitor proxy health regularly; check status and performance to replace slow or blocked proxies.
Measurement Plan Template
This template provides the metrics framework for proxy web scraping health monitoring. Specific monitoring tool configurations (Prometheus, Grafana) require implementation based on your infrastructure.
Health Metrics
| Metric | Formula | Target | Alert Threshold | Evidence |
|---|---|---|---|---|
| Success Rate | Successful Requests / Total Requests | ≥95% | <85% | KB-011 |
| Response Time P50 | Median request completion time | <1000ms | >1500ms | KB-011 |
| Error Rate by Code | Count of 4xx + 5xx responses | <5% | >10% | KB-003, KB-004 |
Cost Metrics
| Metric | Formula | Target | Alert Threshold | Evidence |
|---|---|---|---|---|
| Bandwidth Consumed | GB transferred per period | Within budget + 30% buffer | 80% of allocation | KB-006, KB-010 |
| Cost per Success | Total spend / Successful requests | Stable week-over-week | >20% WoW increase | KB-006 |
| Retry Rate | Retry requests / Initial requests | <10% | >25% | KB-017 |
Pool Health Metrics
| Metric | Formula | Target | Alert Threshold | Evidence |
|---|---|---|---|---|
| Unique IPs Used | Distinct IPs per period | Consistent with workload | Sudden diversity drop | KB-008 |
| IP Ban Rate | Blocked IPs / Total IPs used | <5% | >15% | KB-009 |
Implementation Guidance
Set up alerts and dashboards to monitor proxy failure rates, retry volumes, error codes, and average scrape duration. Effective management involves evenly distributing load across your IP pool and retiring IPs that encounter rate limits or errors. Adjust proxy pool size dynamically based on the scale of your scraping tasks and the responsiveness of target websites. For additional monitoring setup guidance, visit our help center.
Validation template: If your monitoring system cannot track these exact metrics, implement logging that captures at minimum:
Request timestamp, target URL, proxy used
Response status code and timing
Retry count per original request
Bandwidth consumed per request
From these logs, you can derive the metrics above through post-processing.
Template Note: Specific monitoring tool configurations (dashboard JSON, alerting rules) are not available in current sources. For implementation guidance, consult your monitoring platform documentation and apply the metric definitions and thresholds above.
Troubleshooting Matrix: Diagnosing Proxy Failures
Robust error handling separates professional implementations from amateur attempts. Residential proxies can fail due to network issues, IP blocks, or provider maintenance. Use this matrix to diagnose why your rotating proxy for scraping or web scraping with proxy servers is failing.
Troubleshooting Matrix
| Symptom | Likely Cause | What to Measure Next | Allowed Mitigation | Escalation |
|---|---|---|---|---|
| 407 Auth Required | Invalid credentials or IP not whitelisted | Verify credentials format; check whitelist status | Update proxy settings with whitelisted IPs and proper credentials | Contact provider support |
| 429 Too Many Requests | Exceeding rate limits from same IP; site considers you a bot | Compare request frequency against target's known limits | Rotate IP addresses; set time delays between requests; use rotating residential proxies | Reduce concurrency; review rotation interval |
| 502 Bad Gateway | Super proxies refuse connection; IPs unavailable for selected parameters | Test direct connection; check provider status page | Clear cache; try different server region; select different geo parameters | Contact provider; switch to backup |
| 503 Service Unavailable | Server overloaded with requests or under planned maintenance | Check target site status; check proxy provider status | Wait and retry with exponential backoff; reduce request volume | Monitor provider maintenance schedule |
| 504 Gateway Timeout | Proxy didn't receive timely response from upstream server | Test target response time directly; measure proxy latency | Increase timeout settings; use geographically closer proxies | Evaluate provider network performance |
| Connection Refused | Target actively refused connection; firewall blocking IP range | Test with different proxy type (datacenter vs residential) | Switch to residential proxies; rotate to different provider | Check if target has blocked provider's entire range |
| Connection Timeout | Network instability; proxy server down | Ping proxy endpoint; test network path | Verify network connectivity; switch to backup proxy | Implement failover to secondary provider |
| Rapid Pool Exhaustion | Over-aggressive rotation; undersized pool for workload | Review rotation interval; audit pool size vs request volume | Extend session duration; increase pool size; add randomized delays | Evaluate if provider pool matches your scale |
| Inconsistent Success Rates | IP reputation degradation; adaptive detection systems | Track success rate per IP over time; compare across IPs | Retire flagged IPs early; add header/fingerprint variation | May indicate fundamental approach mismatch |
Additional Error Handling Guidance
For 408 Request Timeout: If persistent, check the load created on your web server when detecting the errors.
Reduce request frequency and set delays between requests to avoid triggering rate limits. Introduce randomized delays between requests to avoid detection and mimic human behavior.
Integrate CAPTCHA solving services with fallback mechanisms in case solving fails, such as switching to a different proxy or pausing requests.
Firewall note: Misconfigured settings can cause conflicts between your firewall and proxy. Update firewall settings to ensure it allows connections through your proxy.
Integration Patterns for Proxy Rotation
When implementing best web scraping proxies integration, start with simple middleware patterns and add complexity as needed.
Scrapy Proxy Middleware Pattern
The following code implements basic proxy rotation for Scrapy-based scraping. This is a partial implementation—production use requires provider-specific authentication.
import random class ProxyMiddleware: def process_request(self, request, spider): request.meta['proxy'] = random.choice(spider.proxies)
Settings configuration (partial):
PROXIES = [ 'http://proxy1.com:8000', 'http://proxy2.com:8000', 'http://proxy3.com:8000', ]
Add middleware to DOWNLOADER_MIDDLEWARES in settings.py.
Integration note: This pattern demonstrates the middleware concept. For session-aware rotation, craft combinations of IPs, headers, and cookies that simulate real user sessions. Tools like Crawlee or Got-Scraping automate session management complexity.
Failover Chain Configuration
The failover pattern creates redundancy across proxy providers:
Create proxy chain with type "Redundancy" System marks failed proxies and tries next automatically Timeout threshold: typically 10 seconds before failover
Example failover log output:
Could not connect to proxy primary.example.net:1080 - connection timeout (10 sec) New active proxy is backup.example.net:1080
Implementation pattern: A checked proxy can be marked as [failed] and ignored, allowing failover without removing the proxy from configuration.
Session Management Concept
For workflows requiring session consistency:
Maintain same IP for controlled number of requests
Balance by reusing IP just enough before transitioning
Evenly distribute load across IP pool
Retire IPs that encounter rate limits or errors
Complete runnable implementations require provider-specific authentication. Middleware patterns are framework-agnostic concepts; adapt to your specific scraping framework. For production use, add error handling, logging, and health check integration. See our developer documentation for additional integration examples.
Evaluating When to Switch Providers
Not every failure requires provider switching. Use these criteria to distinguish between fixable issues and fundamental provider limitations.
Switch Indicators
Consider switching when:
Success rates consistently fall below 85% after configuration optimization
Response times exceed 1500ms average despite trying different regions
Pool diversity drops significantly over time (fewer unique IPs available)
Provider cannot explain or resolve persistent 5xx errors
Ethical sourcing practices cannot be verified
Fix configuration first when:
Failures correlate with specific rotation settings
Issues are isolated to particular geographic regions
Success rates improve with session duration changes
Provider status page shows no incidents
Best Residential Proxy Providers Evaluation Criteria
When evaluating best residential proxy providers as alternatives, apply the procurement checklist to each candidate. The best proxies for web scraping are those that meet your specific workload requirements, not the most marketed. The best web scraping proxy for your operation matches your target sensitivity, budget constraints, and rotation requirements.
For residential proxy providers comparison, focus on verifiable metrics during trials rather than marketing claims. Success rates, response times, and geographic accuracy during trial periods provide better signals than advertised pool sizes.
Final Checklist: Sustainable Proxy Operations
Use this checklist before launching new scraping projects and during quarterly operational reviews.
Provider Selection
[ ] Verify EWDCI certification or documented ethical sourcing with explicit user consent
[ ] Confirm IP pool size 1-10M+ with geographic distribution matching your target regions
[ ] Test success rates during trial period (target: 85-95% for residential)
[ ] Review pricing for hidden costs: overage charges (often 50-100% above base), geo premiums, session fees
[ ] Document exit path and switching costs before committing
Rotation Configuration
[ ] Use sticky sessions (10-30 minutes) for authentication workflows; per-request for mass crawling
[ ] Set rotation intervals based on target website's rate limits and response patterns
[ ] Implement randomized delays between requests to mimic human behavior
[ ] Validate that session duration matches your longest workflow step
Cost Optimization
[ ] Enable compression via
Accept-Encoding: br,gzipheader[ ] Use HEAD requests for existence checks; implement local caching for static content
[ ] Implement delta scraping: only fetch changed data on subsequent runs
[ ] Mix proxy tiers: datacenter for low-risk pages, residential for protected endpoints
[ ] Budget 30-40% above expected usage for unexpected spikes
Monitoring Implementation
[ ] Track success rates, response times, error codes by category, and bandwidth consumption
[ ] Set alerts for failure rate spikes (>10% error rate) and budget thresholds (80% allocation)
[ ] Monitor retry rates as early warning for pool degradation
[ ] Log sufficient detail to derive cost-per-successful-request
Resilience Configuration
[ ] Configure automatic retry with different proxy on connection failures, blocks, or captchas
[ ] Maintain backup provider credentials and test failover before production incidents
[ ] Implement failover logic that marks failed proxies and tries next automatically
[ ] Have a backup server ready; implement a system that automatically switches to alternative servers when issues are detected