8 Best Google SERP APIs for U.S. Search Teams (2026)

Choose the search result your product needs

A Google search-results page, or SERP, is an input to many products: keyword monitoring, market research, competitive reporting, and source discovery. An API can retrieve and structure those results, while your application decides which locations to compare, which fields to retain, and how to interpret changes.

This guide compares eight commercial Google SERP APIs for U.S. search teams. The providers operate across markets; inclusion does not imply a U.S. headquarters, identical local coverage, or a universal ranking. Xverum's search-results service is a different product from the people-data API covered in our earlier guide.

How we selected these eight

We checked official product, documentation, pricing, and geographic controls on October 26, 2026. Selection favors documented Google retrieval, structured output, localization useful to U.S. workflows, and a clear commercial access path. Best-fit labels are editorial judgments about those capabilities. We did not open paid accounts, execute comparison queries, or measure shared performance benchmarks.

All prices below are USD entry points with their billing basis. They are not equivalent workloads: pagination, result depth, specialized searches, and optional parameters may change consumption. Where a public price or contract detail could not be verified, that uncertainty is stated.

The eight Google SERP APIs at a glance

Pricing checked October 26, 2026. Compare the required response and request schedule before using advertised unit costs in a budget.

1. Xverum Ultra-Fast SERP API — best overall editorial pick

Xverum is our first pick to evaluate for recurring localized Google-result monitoring. Its product page documents parse-ready results, country/region/city targeting, and SERP snapshots for tracking change across repeated keyword sets. That combination fits teams building monitoring pipelines with historical comparisons.

Access follows a sales conversation; a public SERP-specific USD price, endpoint schema, and numeric request limit were not verified. Ask for the exact U.S. locations, returned fields, history retention, and performance commitments in the proposed configuration. Other search engines require separate confirmation.

Keep the contract boundary explicit. Xverum's general terms restrict retention and redistribution without authorization, so obtain SERP-specific written rights for the intended archive or customer-facing report. Its advertised speed is a provider claim, not a measured advantage established here.

2. SerpApi — best for structured SERP features with monthly quotas

SerpApi combines organic Google results and SERP features in structured responses. Its location controls support U.S. cities, with country settings such as gl=us. That suits developers who want a documented response model and a recurring monthly allowance.

Starter costs US$25/month for 1,000 searches, with a 200-search hourly limit. Plans are month-to-month; Free includes 250 monthly searches. Successful searches consume quota, while cached searches are free.

Freshness needs a deliberate setting: identical queries can use a one-hour cache unless fresh retrieval is requested. Check hourly capacity alongside the monthly allowance, particularly when a scheduled U.S. keyword set must finish inside a short collection window.

3. DataForSEO — best for queued tasks and execution-mode control

DataForSEO provides queued Standard and Priority tasks alongside a Live response mode. Google Organic requests support location, language, and desktop/mobile settings; United States is documented as location code 2840. Queue-based collection is useful when a report can wait for a batch to finish.

Current pricing lists US$0.0006 per Standard SERP, US$0.0012 Priority, and US$0.002 Live, with a base unit covering up to ten organic results. Paid top-ups start at US$50 without a monthly subscription.

Extra depth, search operators, and expanded parameters can change charges. Price the actual task configuration and monitor completion; a low base rate should not be treated as the all-in cost of every deep or specialized search.

4. Bright Data SERP API — best for configurable usage-based collection

Bright Data supplies Google extraction with parsed output and controls including gl=us, language, and city-level uule values. Its self-service setup creates an API configuration and credentials, fitting teams that want to integrate search collection into a wider data pipeline.

Pay-as-you-go pricing is US$1.50 per 1,000 successful requests. Scale costs US$499/month for 380,000 requests, with additional usage at US$1.30 per thousand. The documented free monthly credits are shared across eligible products.

Google's deprecated num parameter does not control result count here. Ordinary pages contain about ten results; deeper collection needs pagination or a separate top-100 workflow. Confirm which mode and billing unit cover the required depth before extrapolating a monthly cost.

5. Oxylabs SERP Scraper API — best for batch collection and output control

Oxylabs combines parsed Google output with HTML and synchronous, asynchronous, or batch collection. Country-origin, Google-domain, and interface-language controls serve different purposes; U.S. origin is supported. That flexibility suits pipelines that need both structured fields and source-page inspection.

The current shared subscription starts at US$30/month. Starter Google non-JavaScript results cost US$1 per 1,000 successful results; JavaScript rendering costs US$1.35 per thousand. Additional result pages are separate charged fetches.

Unused monthly credits expire and service pauses when the balance reaches zero. Verify endpoint parameters, required pages, and rendering before budgeting; a general platform starting rate is not necessarily the selected Google rate.

6. Serper.dev — best for prepaid search-query bundles

Serper.dev returns structured Google search data, including organic results, knowledge-graph information, related searches, and People Also Ask. Its public interface shows U.S. localization with country and language controls. It fits teams that prefer purchasing a query balance over a monthly subscription.

Starter costs US$50 prepaid for 50,000 credits, advertised as 50,000 queries, with a 50-query-per-second limit. Credits expire after six months, successful responses use the balance, and taxes are additional.

Verify deeper pagination and endpoint-specific consumption before extending that headline rate to a monitoring workload. A search credit should not be assumed to include any requested number of result pages.

7. Zenserp — best for search-based monthly subscriptions

Zenserp returns Google results as JSON, covering organic listings, ads, related questions, and local features when present. Official examples demonstrate New York targeting. It suits teams seeking a search-based subscription with documented result types.

Small lists US$49.99 billed monthly for 25,000 searches; Free provides 50 monthly searches. Only successful responses count. Medium is US$149.99/month for 100,000 searches and advertises additional keyword metrics, batch access, and an SLA.

Confirm the selected plan's entitlements before implementation: current cards and comparison rows disagree about lower-tier batch access. Validate pagination and required fields, and obtain written throughput limits instead of assuming unrestricted concurrency.

8. Scrapingdog — best for sharing credits across scraping tasks

Scrapingdog's Google Search API supplies structured results with U.S. country targeting, language controls, and city-level location or UULE selection. That fits teams collecting Google results alongside other scraping tasks in the same service.

Lite costs US$40/month for 200,000 shared credits and five concurrent requests. Standard Google calls use five credits, supporting 40,000 such calls if the balance is used exclusively for them. Advanced or mobile calls use ten credits each.

Current documentation limits results to up to ten per page and deprecates the results parameter. Deeper retrieval therefore needs pagination and additional consumption. Failed requests are refunded; Lite's credit allowance should not be read as its number of Google searches.

How to choose for a U.S. search workflow

Start with a small representative query set: a national product term, a city-specific service, a branded query, and a search likely to show local or rich results. Hold country, city, language, device, and collection time constant. Record returned fields, missing modules, cache behavior, and request identifiers so changes are explainable.

Then price the collection schedule. Multiply keywords by locations, devices, refreshes, and paid result pages; add the selected mode's extras. A low unit price may come with prepayment, expiring balances, a subscription minimum, or throughput constraints. Choose a plan whose entire scheduled batch can finish within the reporting window.

Finally, define history storage and permitted downstream use. Obtain the relevant retention and reporting rights, then test the exact configuration before committing. Search-result position can vary across contexts, so treat the API output as a defined observation rather than a complete account of every U.S. user's search experience.