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Best Search Engine Proxies: Benchmark

Gulbahar Karatas
Gulbahar Karatas
aktualisiert am 2. Juli 2026

Search engines are among the toughest targets our team scrapes at AIMultiple. Google, Bing, and Yandex flag and throttle automated queries within a handful of requests from the same address, so a proxy that sails through an ordinary website can still stall on a results page.

To see which providers actually hold up, we benchmarked top providers. Every 10 minutes, we routed queries through residential IPs to all three engines, pulling from 5,000 URLs per domain.

Search engine proxy benchmark results

Success rates were tight across all providers. That band is a reminder that search engines are hard targets: no provider clears them easily. Decodo and Webshare led on success rate; Apify and ProxyEmpire trailed slightly.

Response time is where the providers actually diverged. Decodo and Webshare stayed fast durchgehend. Apify was the slowest by a clear margin. If latency matters for your pipeline, that gap is the primary difference between these providers. See the full search engine proxy methodology.

Search engine proxies pricing

The axis is GB (or IPs) per dollar, so a higher line means a cheaper provider, not a more expensive one.

At small volumes (tens of GB), Webshare is the least expensive in the group. At scale (1k–10k GB), Decodo pulls ahead with the steepest volume discount, landing in the roughly $2/GB range at 10k GB, versus about $3–4/GB for Bright Data, Oxylabs, and NetNut.

Best search engine proxies

For search scraping, Bright Data offers proxies with geo-targeting down to city and ASN level across 195 countries. You can route your scraper through them like any standard proxy with per-request rotation.

Pricing is on the premium end, and there’s a KYC step before certain targets unlock. If you’d rather skip the scraper entirely, Bright Data also offers a managed SERP layer that covers Google, Bing, Yandex, and DuckDuckGo.

Oxylabs runs a large residential pool alongside datacenter and ISP proxies, with location control at the country, city, and coordinate levels across 195 countries. For search engines, residential is the pool to use; datacenter is cheaper and fine for lighter, less-defended queries.

The network carries a strong success rate and SLA reputation, with ML-driven rotation handling IP selection. As with Bright Data, a managed SERP Scraper API (Google, Bing, Yandex, Baidu) is available if you want parsed output instead of routing raw proxies yourself.

In our tests, Decodo was the strongest performer: achieving the highest average success rate (~54%) and the fastest response time (~1.5s), with the most consistent line durchgehend the period. For search engine work where clean IPs and flexible rotation matter, it’s the best all-round fit.

For search engines, residential is the pool that matters; Google flags datacenter ranges quickly, and Decodo’s residential network covers locations with targeting down to city and ZIP level. Rotation is flexible: you can rotate on every request or hold a sticky session for up to roughly 24 hours, which is useful when you’re crawling several SERP pages and want the same IP across them.

If you’d rather not build and maintain a scraper, Decodo also offers a managed SERP endpoint on the same network.

Despite sitting well below the premium providers on price, Webshare came second on both metrics, success rate (~52%) and response time (~1.8s), close behind Decodo. Webshare is the budget and self-service pick. You set countries, thread counts, and rotation yourself, with HTTP/SOCKS5 support, an API, a Chrome extension, and a free tier for testing.

In the benchmark, ProxyEmpire landed mid-pack in success rate and was the slowest among the residential-first providers in response time with one latency spike during the run.

ProxyEmpire edge for search is targeting depth: you can filter down to country, region, city, ISP, and even mobile carrier, which lets you pull SERPs as they actually render for a specific locale.

Sessions can rotate per request or stay sticky, protocols cover HTTP/HTTPS/SOCKS5, and its standout feature is bandwidth rollover: unused GB doesn’t expire, which suits spiky, project-based rank-tracking runs.

Apify came in mid-pack in success rate but was the slowest in response time, averaging around 3.3s, with spikes to ~4.5s. That’s consistent with routing through browser-automation and fallback layers rather than raw proxy passthrough. It fits Google-centric pipelines where you’d rather not manage infrastructure; for latency-sensitive or multi-engine work, the residential-first providers are a better match.

Apify is a different shape from the others. Its search-relevant proxy is the Google SERP proxy, which routes your request through a country-specific IP and returns the raw HTML of the results page. You parse it yourself or hand it to one of Apify’s ready-made actors. Country switching is built in; there’s no infrastructure to run.

The dedicated SERP proxy covers Google Search and Shopping. For Bing or Yandex, you fall back to Apify’s general residential proxies rather than a purpose-built search endpoint.

Verpassen Sie nicht unsere Benchmarks und datengestützten Erkenntnisse. Die Schaltfläche öffnet Google; die Auswahl von AIMultiple bestätigt, dass Sie AIMultiple häufiger in den Google-Suchergebnissen sehen möchten.
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Search engine proxy methodology

We benchmarked the providers every 10 minutes; we sent a search query through a residential IP to each of the three engines, Google, Bing, and Yandex, drawing from a set of 5,000 URLs per domain.

Each request was scored on two metrics:

  • Success rate: the percentage of requests that returned a valid, parseable results page (CAPTCHAs, blocks, and errors counted as failures).
  • Average response time: the time from request to a complete response, in seconds.

The daily figures in the charts above are the per-provider averages across all three search engines for that day.

Diese Forschung zitieren

Wählen Sie das Format, das zu Ihrem Veröffentlichungsort passt. Wenn Sie die Link-Version in Ihr CMS einfügen, bleibt der Backlink erhalten.

Gulbahar Karatas (2026) - "Best Search Engine Proxies: Benchmark". Online veröffentlicht auf AIMultiple.com. Abgerufen am 2. Juli 2026, von: https://aimultiple.com/search-engine-proxies [Online-Ressource]

Karatas, G. (2026, 2. Juli). Best Search Engine Proxies: Benchmark. AIMultiple. https://aimultiple.com/search-engine-proxies

@misc{karatas2026,
  author = {Karatas, Gulbahar},
  title  = {{Best Search Engine Proxies:  Benchmark}},
  year   = {2026},
  month  = jul,
  howpublished    = {\url{https://aimultiple.com/search-engine-proxies}},
  note   = {AIMultiple. Abgerufen am 2. Juli 2026}
}
Gulbahar Karatas
Gulbahar Karatas
Branchenanalyst
Gülbahar ist eine KI-Branchenanalystin bei AIMultiple mit Schwerpunkt auf Webdatenerfassung, Anwendungen von Webdaten und Anwendungssicherheit.
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