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What is Shared proxy Purchase

What is Shared proxy Purchase

Shared proxy refers to a proxy service model in which multiple users share the same IP resource pool. Its core technology is to allocate massive IP resources to different users on demand through dynamic scheduling algorithms to maximize resource utilization. Compared with exclusive proxy, shared proxy reduces the cost per user through distributed architecture and is suitable for high-frequency but non-sensitive network operation needs.

For example, in the early stages of web crawler development, developers can quickly test anti-crawling strategies through shared proxies without having to pay for dedicated IPs for each test request. abcproxy's shared proxy pool integrates millions of IP resources around the world, supporting intelligent traffic distribution and real-time performance optimization.


Three major technical features of shared proxy

1. Resource pooling dynamic allocation mechanism

High-quality shared proxy services usually build a pool of tens of millions of IP resources and use the following technologies to achieve efficient allocation:

Weight priority algorithm: Dynamically allocate high-weight nodes based on IP historical success rate, response speed and other indicators

Session isolation technology: ensures that different user requests are transmitted through different exit IPs to avoid correlation of operation behaviors

Load balancing system: automatically monitors node pressure and distributes burst traffic to low-load areas

2. Cost control and performance balance

Shared proxies achieve cost-effectiveness optimization in the following ways:

Flexible billing for burst traffic: pricing is based on the number of IP addresses and bandwidth consumption.

Intelligent hot and cold data tiering: High-frequency access IPs are stored in the SSD acceleration layer, and low-frequency IPs are archived to low-cost storage

Automatic replacement of failed IPs: Real-time monitoring of IP availability, replacement of failed nodes within 30 seconds

3. Multi-level security protection system

To avoid potential risks brought by shared resources, advanced service providers will deploy:

Traffic cleaning system: filtering DDoS attacks and malicious scanning requests

Behavioral feature obfuscation: Generate independent TCP fingerprint and TLS fingerprint for each user

IP reputation maintenance: regularly refresh IP segments and remove nodes marked by target platforms


Four high-value application scenarios of shared proxys

1. Small and medium-scale data collection projects

For crawler services with daily request volume below 100,000, shared proxies can provide:

On-demand call: Automatically match the IP change cycle according to the acquisition frequency (such as 5-60 minutes/time)

Protocol compatibility: Support HTTP/HTTPS/Socks5 and other access methods

Geographic targeting: Accurately filter IP resources in target cities or ASN (Autonomous System Number)

2. Social media matrix operation

In a medium-sized operations team managing 50-200 accounts, shared proxys can:

Reduce account association risk: Avoid binding multiple accounts to a fixed IP address through IP randomization

Simulate real user distribution: automatically match account registration location with actual login IP location

Traffic cost optimization: Automatically switch to low-cost IP pools during non-core operation periods (such as nighttime)

3. Batch verification of advertising effectiveness

Digital marketing teams can leverage shared agencies to:

Cross-regional material testing: Verify the advertising display effects in 20+ countries/regions at the same time

Competitive intelligence collection: anonymously capture competitor ad keywords and landing page structure

Anti-fraud monitoring: Detect abnormal click behavior patterns through IP diversification

4. Cloud service stress testing

Developers can use shared proxies in the following scenarios:

Distributed load simulation: quickly build hundreds of concurrent IPs to initiate service requests

CDN node performance evaluation: testing the content distribution speed of different nodes around the world

API interface robustness verification: simulate malicious traffic attacks to detect system protection capabilities


Four core indicators for purchasing shared proxy services

1. IP resource pool size and quality

Total evaluation: Top service providers should have at least 5 million available IPs

Purity detection: Screening through IP reputation databases (such as Spamhaus) Blacklists account for less than 3%

Type ratio: The recommended ratio of residential IP to data center IP is 7:3

2. Intelligent degree of dispatching system

The focus is on the following functional modules:

Adaptive rotation: Automatically adjust the IP change strategy according to the anti-climbing strength of the target website

Protocol camouflage: supports simulating fingerprints of mainstream browsers such as Chrome 120+, Firefox 110+, etc.

Traffic Prioritization: Allocate low-latency dedicated channels for critical services

3. Service availability guarantee

SLA commitment: High-quality service providers should provide more than 99.9% availability guarantee

Fault recovery: Start backup link switching within 10 seconds after network interruption

Log audit: Provides visualization reports of core indicators such as request success rate and average latency

4. Data Security

GDPR/CCPA compliance certification: ensuring that user data storage and transmission complies with privacy regulations

Traffic encryption standard: mandatory use of TLS 1.3+ encryption protocol

Permission control: Support team collaboration permission classification based on RBAC model


As a professional proxy IP service provider, abcproxy provides a variety of high-quality proxy IP products, including residential proxy, data center proxy, static ISP proxy, Socks5 proxy, unlimited residential proxy, suitable for a variety of application scenarios. If you are looking for a reliable proxy IP service, welcome to visit the abcproxy official website for more details.

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