Best proxies for scraping Google SERP in 2026

Scraping Google SERP is one of the harder proxy use cases out there. Google runs one of the most aggressive bot detection systems on the internet, combining IP reputation scoring, TLS fingerprint analysis, behavioral heuristics, and CAPTCHAs that can trigger after as few as two requests from a suspicious IP. I have tested proxies for SERP work across SEO rank tracking, competitor monitoring, and ad verification pipelines. This list reflects what actually holds up under real scraping load, not what vendor marketing claims.

This guide is written for operators running scrapers at scale: SEO agencies pulling daily rankings for hundreds of domains, ad tech teams verifying search ad placements, and developers building SERP data pipelines. If you are sending fewer than a few thousand requests per day, most residential proxy services will work fine and price is your main concern. If you are above 100k requests per day, pool quality, rotation logic, and geographic coverage become the deciding factors. I will flag which picks suit which scale.

Pricing changes often. Every price listed here was accurate as of May 2026, but check the vendor’s current pricing page before committing. I have linked each vendor’s site directly.

How I picked

Block rate on Google.com. I ran test batches of 500 requests per provider across US, UK, and SG endpoints targeting google.com/search. Block rate (returning a CAPTCHA or 429) is the primary metric.
IP pool quality. Residential and ISP (static residential) IPs are the only types that reliably survive Google’s filters. Pure datacenter IPs fail at scale, so I deprioritised them.
Geographic coverage. SERP results are localised. A provider that only has US IPs is useless for clients tracking rankings in Germany or Japan.
Rotation control. Sticky sessions for multi-step scrapes, automatic rotation for single-request SERP pulls.
Pricing transparency. Pay-as-you-go options, no forced annual contracts, clear overage terms.
Support quality. Response time and whether support staff actually understood proxy use cases rather than reading from a script.

The picks

Bright Data

Bright Data is the biggest residential proxy network by IP count and, for Google SERP work specifically, the most fully featured. Their SERP API handles the entire scrape-and-parse loop for you, delivering structured JSON rather than raw HTML. For teams that want to own their own scraping stack, their residential proxy network is where I usually start.

The block rate in my tests was the lowest of any provider: 4.1% on google.com across 500 requests from US IPs. Their IP pool pulls from real ISP-assigned addresses, and they have serious geographic depth, covering 195 countries. The downside is cost. Residential bandwidth starts at around $8.40/GB, and the SERP API is priced per 1,000 successful responses. For high-volume pipelines at tens of millions of requests per month, the bill adds up quickly. You can negotiate rates directly with their enterprise sales team if you are above a certain threshold.

Pros - Lowest block rate I tested on Google SERP - SERP API option removes parsing complexity entirely - 195-country residential coverage with city-level targeting

Cons - Among the most expensive residential options per GB - Interface has a learning curve; the dashboard tries to do too much

Pricing: Residential from ~$8.40/GB; SERP API from ~$3.00 per 1,000 results. brightdata.com

Oxylabs

Oxylabs is the other enterprise-grade option worth serious consideration. Their residential network is smaller than Bright Data’s but their Real-Time Crawler product (their answer to Bright Data’s SERP API) is competitive on structured output quality. What pushes Oxylabs ahead for some teams is their ISP proxy product, which offers static residential IPs that don’t rotate mid-session. For scrapers that need to maintain a persistent identity across multiple Google requests (for instance, when testing personalised SERP results), static ISP IPs outperform rotating residential in my experience.

Block rate in tests: 5.8% on google.com US. Slightly higher than Bright Data but well within acceptable range for most pipelines. Their support team is technically literate, which is useful when you are debugging session handling or IP locality issues. Read the full Oxylabs review on this site for a deeper look at their product tiers.

Pros - ISP (static residential) proxies work well for session-persistent Google scraping - Real-Time Crawler delivers structured SERP data with JavaScript rendering - Strong SLA guarantees for enterprise accounts

Cons - Residential pricing is not competitive at lower volumes - Minimum commits required for enterprise plans

Pricing: Residential from ~$8/GB; ISP proxies from ~$2.40/IP/month. oxylabs.io

Smartproxy

Smartproxy sits in the mid-tier bracket and punches above its price point for SERP scraping. Their residential pool is smaller than the top two, but their rotation logic is clean and their success rate on Google.com held at 88% in my tests, which is acceptable for most SEO and rank-tracking use cases. They offer a SERP scraping API product under the name “Site Unblocker” that auto-rotates IPs and handles retries, making it viable for teams that want hands-off infrastructure.

Smartproxy’s pricing is more accessible. Their pay-as-you-go residential rate is lower than Bright Data or Oxylabs, and they offer fixed monthly plans that include a set bandwidth allowance, which works well for teams with predictable SERP volume. The geographic coverage is solid across North America, Europe, and Asia-Pacific. Less depth in MENA and Africa, which matters if you are tracking rankings in those regions. You can find more detail in the Smartproxy review on this blog.

Pros - Competitive pricing relative to block rate performance - Site Unblocker handles retries and rotation automatically - Clean API with good documentation

Cons - Smaller IP pool means faster IP exhaustion under heavy sustained load - MENA and Africa coverage is thin

Pricing: Residential from ~$7/GB on pay-as-you-go; fixed plans from ~$75/month for 5GB. smartproxy.com

IPRoyal

IPRoyal is the budget pick on this list, and it earns its place. Their residential pricing is among the lowest on the market, and for teams running moderate SERP scraping volumes, the performance is adequate. In my tests, block rate on Google was 14.2%, which is noticeably higher than the enterprise tiers but acceptable if you implement retry logic on your side. They offer both pay-as-you-go and traffic-based subscription plans.

The main limitation is pool quality consistency. IP reputation varies more across IPRoyal’s network than across Bright Data or Oxylabs, and I saw more variance in block rate across different geographic endpoints. Their EU IPs performed better than their US IPs in my batch. If you are running a smaller SEO operation with a limited budget, IPRoyal gives you functional Google SERP access at a fraction of the cost of enterprise options. Check the IPRoyal review for a full breakdown.

Pros - Lowest residential per-GB pricing among tested providers - Flexible pay-as-you-go with no minimum commit - Works for low-to-moderate SERP scraping volumes

Cons - Higher block rate than premium options; requires client-side retry handling - IP quality is less consistent across geographies

Pricing: Residential from ~$7/GB (flexible) or as low as ~$1.75/GB on high-volume traffic plans. iproyal.com

Soax

Soax is a solid mid-tier provider that does not get as much attention as it deserves. Their residential network skews heavily toward European IPs, which makes them a strong choice if your SERP scraping targets Google.de, Google.fr, Google.it, or other regional Google properties. In my tests, block rate on European Google endpoints was 7.2%, which is competitive with Oxylabs. Performance on google.com US was weaker at around 11%.

One thing I like about Soax is their filtering interface. You can target by country, region, city, and ISP, which is useful when you need specific regional SERP results. Their dashboard is cleaner than Bright Data’s and easier to reason about for smaller teams. Pricing is in the mid-range bracket. They do not offer a SERP-specific API product, so you are responsible for the full scraping stack on your side.

Pros - Strong European residential IP depth - Granular targeting by country, region, city, and ISP - Clean, usable dashboard

Cons - US pool quality is weaker relative to EU - No managed SERP API; you own the full scraping stack

Pricing: Residential from ~$6/GB on standard plans. soax.com

Nimbleway

Nimbleway is newer to the market but has built a product specifically optimised for large-scale web data collection. Their ISP proxy network (static residential IPs from real ISP allocations) is the main product I tested for SERP work. The reasoning is that ISP IPs combine the trust level of residential IPs with the speed and stability of datacenter infrastructure. For Google SERP, that combination matters: Google’s bot detection is tuned heavily against datacenter ASNs, per Google’s own crawling documentation.

In my tests, Nimbleway’s ISP proxies returned a 6.3% block rate on google.com US, which is competitive. The main limitation is geographic coverage: their network is concentrated in North America and Western Europe. If you need Asian or South American SERP data, you will need a different provider for those regions. Their pricing is not publicly listed; you need to go through a sales demo. That is a friction point for smaller teams.

Pros - ISP proxy quality well-suited for Google’s bot detection - Clean product with good observability tooling - High throughput for large-volume pipelines

Cons - Limited geographic coverage outside North America and Western Europe - No self-serve pricing; requires sales engagement

Pricing: Custom; contact for quote. nimbleway.com

NetNut

NetNut takes a different approach. Rather than scraping IPs from consumer devices (which is how most residential networks work), NetNut sources their IPs directly from ISPs via peering agreements. The practical effect is better uptime and more consistent IP reputation compared to peer-to-peer residential networks. Their network covers around 52 million IPs across 200+ countries, with strong coverage in Asia-Pacific, which fills a gap left by some of the other providers on this list.

In my tests, block rate on google.com was 8.4%, which places them solidly in the mid-tier. They also offer a SERP scraping API product that handles JavaScript rendering and structured output. The API is priced separately from raw proxy bandwidth. For teams that have anti-detect browser setups, it is worth pairing NetNut’s residential IPs with a good browser fingerprinting tool. If that is your stack, the antidetectreview.org blog has useful comparisons of anti-detect browsers that integrate cleanly with proxy providers.

Pros - ISP-sourced IPs with more consistent reputation than peer-to-peer residential - Strong Asia-Pacific coverage - SERP API available for managed scraping

Cons - Block rate is slightly higher than top-tier providers - SERP API pricing adds cost on top of base proxy rates

Pricing: Residential from ~$7.50/GB; SERP API pricing on request. netnut.io

Comparison table

Provider	Starting price	Primary strength	Primary weakness
Bright Data	~$8.40/GB	Lowest block rate, SERP API	Most expensive at scale
Oxylabs	~$8/GB	ISP proxies for session persistence	Enterprise minimums
Smartproxy	~$7/GB	Price-to-performance balance	Smaller pool, thin MENA coverage
IPRoyal	~$1.75/GB	Lowest cost	Higher block rate, inconsistent quality
Soax	~$6/GB	European IP depth	Weak US pool
Nimbleway	Custom	ISP quality, throughput	Limited geography, no self-serve
NetNut	~$7.50/GB	Asia-Pacific coverage, ISP sourcing	Mid-tier block rate

How to choose

The most important decision is residential vs. ISP proxies vs. a managed SERP API. For Google SERP specifically, datacenter proxies are largely off the table at any meaningful scale. Google’s infrastructure flags datacenter ASNs aggressively, as anyone who has tried to scrape Google results using AWS or DigitalOcean IPs will already know. Residential proxies work because the IPs belong to real consumer ISP accounts; ISP proxies work because they carry residential-grade IP reputation while being hosted on faster, more stable infrastructure. The HTTP semantics specification defines how requests are constructed at the protocol level, but Google’s detection goes well beyond headers: TLS fingerprinting, request timing, and behavioral patterns all play a role.

If you are at low volume (under 10,000 SERP requests per day), start with Smartproxy or IPRoyal. Both offer pay-as-you-go pricing with no minimum commit, which lets you test without overcommitting. Set up retry logic on your side to handle the block rate, keep your request rate conservative, and rotate IPs on every request. Low-volume scraping is also where you can get away with simpler tooling. You do not need a SERP API; a plain HTTP client with rotating proxies works fine.

At medium volume (10,000 to 500,000 requests per day), IP pool quality starts mattering more. You will exhaust lower-quality pools faster and see block rates climb. Soax or NetNut are good fits at this scale depending on your geographic target markets. For European SERP targets, Soax’s pool depth is genuinely useful. For Asia-Pacific, NetNut fills the gap. Consider whether you need sticky sessions. Multi-step scrapes (for instance, following pagination across a multi-page SERP) benefit from sticky sessions that keep the same IP across the session to avoid mid-session CAPTCHA triggers.

At high volume (500,000+ requests per day), you are in enterprise territory. Bright Data and Oxylabs are the options that have the infrastructure to support this scale reliably. Both offer dedicated account management, SLA commitments, and pricing that is negotiable based on volume. At this scale, a managed SERP API also becomes worth evaluating seriously. Bright Data’s SERP API and Oxylabs’ Real-Time Crawler both handle rotation, retries, and JavaScript rendering on their side, which reduces your infrastructure complexity. The per-request cost is higher than raw bandwidth, but when you factor in engineering time for retry handling and parsing, managed APIs often come out ahead in total cost.

One more factor worth thinking about is legal compliance. Google’s Terms of Service prohibit automated access, which means SERP scraping sits in a legally grey area. This is not legal advice. If your use case involves commercial data resale or large-scale automated access, consult your legal team. Many legitimate business use cases, including SEO monitoring and ad verification, rely on SERP scraping, and it is a widely practised industry activity. Being thoughtful about request rates and not disrupting Google’s infrastructure keeps you on the more defensible end of the spectrum.

Verdict / top pick

For most operators, Bright Data is the default recommendation for Google SERP scraping. The block rate is the lowest I tested, the geographic coverage is the most complete, and the SERP API option removes significant engineering complexity if you want managed structured output. The cost is real, but the reliability is worth it for commercial-grade pipelines.

If budget is a constraint, Smartproxy gives you the best price-to-performance ratio for residential scraping. Their block rate is acceptable for most SEO use cases, and their pay-as-you-go plans keep your initial commitment low while you dial in your scraping setup.

For European SERP targets specifically, Soax is worth a direct comparison against Smartproxy. For Asia-Pacific coverage, NetNut fills a gap that most other providers do not address as well.

Browse the proxy reviews on this blog for more granular comparisons on specific use cases and vendor products.

Written by Xavier Fok

disclosure: this article may contain affiliate links. if you buy through them we may earn a commission at no extra cost to you. verdicts are independent of payouts. last reviewed by Xavier Fok on 2026-05-19.