Best Indian Proxies: Benchmark-Based Ranking
We benchmarked leading India proxy server providers using the same target schedule and URL pool. Each provider sent one request to the same URL every 10 minutes across major Indian platforms, including Flipkart, Amazon India, and IndiaMART.
The ranking below is based on the benchmark charts. Success rate was weighted more heavily than average response time because response times were relatively similar across providers:
Top India proxies benchmark results
During the benchmark period, success rates varied more meaningfully than response times. Average response times were tightly clustered across providers, mostly around 20–24 seconds.
Indian proxy pricing comparison
If a provider requires more retries to collect the same number of successful pages, the effective cost per successful request can be higher than the listed price per GB suggests.
Detailed review of the top providers
Oxylabs is a strong choice for India residential proxy testing when both success rate and targeting depth matter. The benchmark showed one of the strongest observed success-rate profiles.
Its main advantage is targeting flexibility. Oxylabs supports residential proxy targeting by country, state, city, ZIP or postal code, coordinates, and ASN. This makes it useful for teams that need to test whether Indian traffic can be narrowed beyond the country level.
Oxylabs had one of the strongest benchmark profiles, but it is not necessarily the lowest-cost option. Its proxies are best suited for teams that need a premium India residential proxy provider with granular targeting and stable performance.
Decodo performed close to the top group in the benchmark. The observed difference between Decodo and the leading providers was small enough that it should not be overstated without statistical testing.
Decodo is especially useful when the setup requires India-specific endpoints and configurable sessions. The provider documents an India endpoint and sticky-session controls, which makes it practical for testing both rotating and session-based workflows.
The provider is one of the most cost-efficient solutions for larger bandwidth volumes. However, Decodo should not be positioned as an India ZIP-level targeting provider. Its documentation limits ZIP targeting to the United States.
Webshare offers a simple residential proxy setup with country- and city-level targeting. In the benchmark, it performed close to the high-success group during part of the period, but the final-day result was weaker.
That makes Webshare better suited as a backup provider, a controlled-share provider, or a lower-complexity option until raw logs confirm whether the late-period drop was temporary or consistent.
Its residential proxy setup focuses on country- and city-level targeting via endpoint configuration. ZIP targeting is not documented in the residential setup page, so Webshare should not be grouped with providers that explicitly document ZIP-level controls.
DataImpulse is a cost-sensitive candidate rather than a clear benchmark winner. Its observed success rate was within the same broad range as several other providers, so the final decision should depend on retry-adjusted cost rather than headline price alone.
The provider documents country, city, ZIP, and ASN parameters, making it relevant for tests that require more than country-level targeting. However, ZIP and city targeting are billed at double the standard rate, so the cost model should be tested carefully.
A low price per GB is only useful if the provider also delivers enough successful pages per GB. For India proxy workloads, DataImpulse should be evaluated on the effective cost per successful request, not just the listed bandwidth price.
Apify should be evaluated differently from the other providers in this benchmark. Its main value lies not only in proxy access but also in its integration with Apify Actors, Crawlee, and Apify’s session management tools.
In the benchmark, Apify’s observed success rate was lower than that of the other providers. Based on this test, it should not be selected as the first standalone Indian proxy provider.
Apify supports residential proxy country targeting and US state targeting. ZIP-level targeting is not available for residential proxies. Residential sessions are also shorter by default than some alternatives, so session behavior should be tested carefully if the workflow requires IP persistence.
Apify is best suited for teams already using the Apify ecosystem or for workflows in which proxy management is tightly integrated with the scraping infrastructure.
Aggiungi come fonte preferitaIndian proxy benchmark methodology
All providers were tested under the same benchmark conditions. Each vendor sent a single request to the same URL every 10 minutes. The benchmark used a shared URL pool, with 1,000 URLs per domain. Each URL was used about once per week on average to reduce the effect of caching. The benchmark was run from EU West using Indian residential proxies.
The benchmark included Indian e-commerce and B2B marketplace domains:
- amazon.in: E-commerce
- flipkart.com and dl.flipkart.com: E-commerce
- indiamart.com: B2B e-commerce
FAQ
An Indian proxy routes internet traffic through an IP address located in India. This allows users to view websites as they appear to users in India, test localized content, and monitor regional pricing.
Oxylabs is the strongest option in this benchmark for granular geo-targeting because it supports India targeting beyond the country level, including city, state, ZIP/postal code, coordinates, and ASN targeting.
Some providers support more detailed targeting than others. Oxylabs supports granular targeting options, including ZIP/postal code targeting. DataImpulse documents country, city, ZIP, and ASN parameters.
Webshare focuses on country- and city-level targeting, whereas Decodo should not be positioned as an India ZIP-level targeting provider, as its documented ZIP targeting is limited to the United States.
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@misc{karatas2026,
author = {Karatas, Gulbahar},
title = {{Best Indian Proxies: Benchmark-Based Ranking}},
year = {2026},
month = jun,
howpublished = {\url{https://aimultiple.com/indian-proxies}},
note = {AIMultiple. Retrieved Giugno 19, 2026}
}
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