Web scraping is used for price collection, product monitoring, SEO analysis, market research, data aggregation, and many other tasks. As the volume of automated requests grows, websites continue improving their protection mechanisms and pay closer attention to traffic sources.

That is why scraping results depend not only on the scraper itself. Proxy infrastructure also plays a major role: the type of IP addresses, their geography, connection speed, rotation frequency, and session stability.

Let’s look at which proxies are suitable for web scraping in 2026 and what to consider when choosing them.

Why Proxies Are Needed for Web Scraping

If a large number of requests are sent to a website from a single IP address, this activity can quickly stand out from regular traffic. Depending on the website, this may lead to rate limits, additional checks, or IP blocking.

Proxies help distribute requests across different IP addresses and locations.

This is especially important when you need to:

collect large volumes of publicly available data;
update information regularly;
work with multiple websites at the same time;
access data from different countries;
check localized versions of pages;
maintain long-running sessions from the same IP.

At the same time, there is no single proxy type that works best for every scenario. The optimal option depends on which websites need to be processed, how many requests you plan to send, and how long the same IP should remain active.

Which Proxies Are Suitable for Scraping

The main options for web scraping are residential, ISP, and datacenter proxies. Each type has its own characteristics.

Residential Proxies

Residential proxies use IP addresses associated with internet service providers and real user networks.

Their main advantage is a large distributed IP pool and the ability to rotate addresses regularly. This makes them suitable for large-scale data collection, especially when requests need to be distributed across many IPs.

Residential proxies are worth considering for:

price monitoring;
product data collection;
search engine results research;
local content checking;
scraping websites that are sensitive to a high number of requests from a single IP.

Rotation is an important factor here. An IP can change with every new request or remain the same for a certain period through a sticky session.

Residential Proxies with Country-Level Targeting

Not every task requires city- or region-level targeting. For example, if you only need to check an online store catalog as seen by users in Germany, a German IP may be enough without selecting a specific city.

In such cases, simpler residential proxy options with country-level targeting can be used.

For example, MangoProxy offers Residential Light Proxies for these scenarios, with a pool of more than 85 million IPs across 200+ countries. They allow country selection and support HTTP, HTTPS, and SOCKS5.

This type of proxy can be useful for large-scale tasks where a large IP pool and country selection matter, but detailed geo-targeting is not required.

Dynamic ISP Proxies

ISP proxies use addresses registered with internet service providers, while the infrastructure usually provides high speed and connection stability.

Dynamic ISP proxies combine IP rotation with the characteristics of ISP networks.

They are suitable for scenarios where IPs need to change regularly while maintaining high performance, for example when collecting large volumes of data or processing many pages.

Static ISP Proxies

Not every scraping task requires constant IP rotation.

Sometimes it is more important to keep the same address throughout the entire session. This may be relevant when a website links a sequence of actions to one IP or when data collection consists of several dependent requests.

In such situations, static ISP proxies can be used.

For example, MangoProxy provides Static ISP Proxies with support for HTTP, HTTPS, and SOCKS5 and access to more than 50 locations. The promo code AVENACLOUD gives an 8% discount on Static ISP Proxies.

Datacenter Proxies

Datacenter proxies use IP addresses from hosting companies and datacenters.

Their main strengths are high speed and relatively low cost. This makes them suitable for websites that do not have strict requirements regarding IP origin.

Datacenter proxies can be used for:

processing large numbers of pages;
scraping less protected websites;
technical monitoring;
parallel requests;
tasks where traffic cost is especially important.

However, these IPs are generally easier to identify as datacenter addresses, so residential or ISP proxies may be a better option for some websites.

Static or Rotating Proxies: Which Should You Choose?

One of the main questions when building scraping infrastructure is whether the IP should change.

Rotating Proxies

With rotation, requests are distributed across different addresses from the proxy pool.

This approach works well for large-scale data collection when many independent pages need to be processed.

For example, if you need to regularly collect prices from tens of thousands of product pages, distributing requests across a large IP pool helps avoid concentrating all traffic on one address.

Static Proxies

A static proxy keeps the same IP for a long period of time.

It can be preferable for sequential scenarios where several requests belong to the same session.

That is why the choice depends not on which option is “better,” but on the structure of the specific task.

For a large number of independent requests, rotation is usually more suitable. For long-running connected sessions, static IPs or sticky sessions may be a better fit.

What to Consider When Choosing Proxies

Proxy type is only one of the parameters. When selecting infrastructure for scraping, several characteristics should be evaluated together.

IP Pool Size

The more IP addresses available, the easier it is to distribute a significant request volume.

This is especially important for large projects that process thousands or millions of pages.

However, pool size alone does not guarantee quality. You should also consider IP availability in the required countries, connection stability, and actual network performance.

Geography

For many tasks, the country from which a request is sent matters.

Websites may show different:

prices;
currencies;
products;
search results;
advertising offers;
language versions of pages.

Before choosing a proxy provider, it is worth determining which countries are actually required for the project.

If country-level targeting is enough, there is no need to pay extra for more detailed targeting. If data needs to be collected for specific regions or cities, a service with the corresponding geo-targeting options is more appropriate.

Response Speed

When processing thousands of pages, even a small difference in response time can significantly affect the total duration of data collection.

It is important to look not only at maximum connection speed, but also at stability under a high number of parallel requests.

Success Rate

Success rate shows what percentage of requests are completed successfully.

It is one of the key metrics for proxy infrastructure, but it should not be evaluated in isolation.

A high success rate combined with very long response times may still be inefficient for a large-scale project. That is why latency, connection stability, and the number of retries should also be taken into account.

Rotation and Sticky Sessions

Good proxy infrastructure should allow control over how long an IP remains active.

Some tasks require a new address almost every request, while others require the same IP to remain active for several minutes or longer.

Before purchasing proxies, it is worth checking whether the service supports both scenarios and how flexible the rotation settings are.

Supported Protocols

The most common options are HTTP, HTTPS, and SOCKS5.

For standard web scraping, HTTP/HTTPS is usually sufficient, while SOCKS5 may be useful for more universal networking scenarios and tools.

Cost

Comparing proxies only by the lowest price per GB or per IP is not always accurate.

The actual cost of data collection also depends on the number of failed requests, the need for retries, and overall speed.

Cheaper traffic does not necessarily mean a cheaper final result if a significant share of requests has to be repeated.

Which Proxies to Choose for Different Tasks

Different web scraping scenarios have different infrastructure requirements.

Price Monitoring

Price monitoring for online stores usually involves regularly processing a large number of product pages.

Rotating residential or dynamic ISP proxies are often a good fit for such tasks. If the website does not restrict datacenter traffic, more affordable datacenter proxies can also be used.

SEO Monitoring

Geography is especially important when analyzing search engine results.

If search results need to be checked across different countries, it is worth choosing proxies with broad GEO coverage. More local results may require region- or city-level targeting.

Marketplace Data Collection

Large marketplaces may use more advanced traffic management systems.

For such projects, large residential IP pools are often suitable because they allow requests to be distributed and multiple locations to be used.

Regular Website Monitoring

If you only need to continuously check a limited number of pages — for example, product availability, price changes, or new content — the requirements may be simpler.

Depending on the website, static ISP or datacenter proxies may be sufficient.

Large-Scale Collection of Publicly Available Data

When working with a very large number of pages, traffic cost, IP pool size, and the ability to distribute requests efficiently become key factors.

In such projects, a combination of several proxy types is often used instead of a single universal solution.

Why Combining Different Proxy Types Can Be Useful

A large scraping project does not necessarily have to use only one type of IP.

For example:

datacenter proxies can be used for websites with minimal restrictions;
rotating residential proxies can be used where a large distributed pool is required;
dynamic ISP proxies can be used where both rotation and performance matter;
static ISP proxies can be used for long-running sessions.

This approach makes it possible to allocate the budget according to the complexity of each data source.

Instead of using the most expensive proxy type for every request, infrastructure can be selected separately for each group of websites.

Common Mistakes When Choosing Proxies for Scraping

Choosing Based Only on Price

A low traffic price may look attractive, but it does not reflect the real cost of successfully collected data.

Performance, retries, and processing time should also be considered.

Using One IP for Too Many Requests

Even a fast and high-quality static IP is not designed for an unlimited stream of requests to the same website.

The workload should be distributed according to the behavior and limits of the target website.

Rotating IPs Too Frequently

The opposite problem is rotating the IP on every request when the website expects a consistent session.

In some cases, keeping the same IP for several minutes can provide better results than changing addresses as often as possible.

Ignoring GEO

An IP from the wrong country may result in a different version of the page, currency, or product catalog.

For projects that work with localized data, geography should be part of the scraping architecture.

Evaluating Only the IP Pool Size

Tens of millions of advertised IPs may look impressive, but for a real project, it is more important to know how many suitable addresses are available in the required locations and how consistently they perform.

Mango Proxy for Web Scraping

Mango Proxy provides several proxy types that can be used depending on the architecture of the project:

Residential Proxies;
Residential Light Proxies;
Dynamic ISP Proxies;
Static ISP Proxies;
Dynamic Datacenter Proxies;
Static Datacenter Proxies.

The network includes more than 90 million IPv4 addresses, while residential solutions cover 200+ countries. HTTP, HTTPS, and SOCKS5 are supported.

Having several proxy types available within one service is useful for projects where different data sources require different approaches. For example, large-scale collection can be distributed across rotating IPs, while tasks involving long-running sessions can be moved to static ISP proxies.

FAQ

Which proxies are best for web scraping?

There is no universal option. Rotating residential or ISP proxies are often used for large-scale data collection. Static ISP proxies may be better for long-running sessions, while datacenter proxies can be suitable for less demanding websites.

Do I need to change the IP with every request?

Not always. Frequent rotation can be useful for a large number of independent requests. If several requests belong to the same session, keeping the same IP for some time may be preferable.

What is more important: a large IP pool or high speed?

Both matter, but their importance depends on the task. A large pool helps distribute requests, while speed affects overall performance. Success rate and connection stability should also be considered.

Are residential or datacenter proxies better for scraping?

Residential IPs are suitable for websites where IP origin matters and where a large distributed pool is required. Datacenter proxies are usually faster and more affordable, so they can be more efficient for websites that work well with this type of IP.

Can multiple proxy types be used at the same time?

Yes. For large projects, this is often the most practical architecture. Different websites can be routed through different proxy pools depending on GEO, rotation, speed, and cost requirements.

Conclusion

Choosing proxies for web scraping in 2026 starts not with finding the largest IP pool or the lowest traffic price, but with understanding the specific task.

Large-scale data collection requires rotation and access to a large number of IPs. Long-running sessions require a stable address. Geo-dependent content requires the correct IP location. Processing large numbers of pages requires a balance between speed, success rate, and cost.

That is why effective proxy infrastructure may include several types of IPs at the same time. Residential, ISP, and datacenter proxies solve different tasks, and combining them correctly helps scale data collection while keeping costs under control.