Low-Cost Google SERP APIs in 2026: 8 Tools Priced & Compared

Looking for a low-cost Google SERP API is easy.

Choosing one that actually fits your workflow is harder.

Most providers can return Google search results in JSON. But pricing models, free trial limits, search engine coverage, location controls, retry handling, and output quality vary a lot. A cheap API is not always cheaper once you count failed requests, missing fields, weak localization, or extra engineering cleanup.

This guide compares 8 Google SERP API products based on public pricing and product information:

1. Talordata

2. Serper

3. Scrapingdog

4. DataForSEO

5. Bright Data

6. Oxylabs

7. SearchAPI

8. SerpApi

The goal is not to crown one universal winner. The goal is to help you decide which SERP API is worth testing for SEO monitoring, AI agents, RAG workflows, competitor tracking, local SEO, or market research.

Quick Comparison

Pricing changes often. Treat this as a starting point and verify each official pricing page before purchasing.

How We Compared These SERP APIs

For a low-cost Google SERP API, price per 1,000 requests is only one part of the comparison.

You should also look at:

A practical formula is:

real cost = total spend ÷ usable SERP results

A result is only usable if it contains the fields your workflow needs.

1. Talordata

Talordata is worth comparing if you need structured SERP data across Google and other major search engines.

Its pricing page lists 1,000 free API responses, then paid packages starting at 5,000 responses for $5, which equals $1 per 1,000 responses. Larger public packages include 30,000 responses at $0.90/1K, 100,000 at $0.70/1K, 500,000 at $0.60/1K, 3,000,000 at $0.45/1K, and 10,000,000 at $0.25/1K. The same page also lists JSON / HTML responses, country/city/language/device targeting, multiple search engines, automatic retries, IP rotation, and request optimization as included capabilities.

Best for: teams that need low-cost SERP monitoring, SEO workflows, AI / RAG search context, and multi-engine search data.

Watch out for: as with any SERP API, you should test field completeness and localization with your own real queries before scaling.

2. Serper

Serper is one of the most price-aggressive Google Search API options, especially for AI prototypes.

Its homepage promotes 2,500 free queries with no credit card required, and lists Google Search, Images, News, Maps, Places, Videos, Shopping, Scholar, Patents, and Autocomplete.

Its pricing section uses a top-up credit model: Starter is $50 for 50K credits at $1.00/1K, Standard is $375 for 500K credits at $0.75/1K, Scale is $1,250 for 2.5M credits at $0.50/1K, and Ultimate is $3,750 for 12.5M credits at $0.30/1K. Serper also says credits are valid for 6 months and successful responses deduct credits.

Best for: AI tools, chatbots, prototypes, and fast Google Search API integrations.

Watch out for: the lowest unit price appears only at large top-up volume.

3. Scrapingdog

Scrapingdog is another low-cost Google SERP API option with simple package pricing.

Its Google SERP API page says users can start with 1,000 free credits. Its Lite plan is $40/month for 40,000 Google requests, equal to $1 per 1,000 Google requests. Larger plans include $90/month for 200,000 Google requests at $0.45/1K, $200/month for 600,000 requests at $0.33/1K, $350/month for 1.2M requests at $0.29/1K, and larger business plans down to around $0.26/1K.

Scrapingdog also describes its output as clean JSON responses with organic results, ads, maps, and SERP features.

Best for: teams that want a simple Google SERP API with transparent pricing.

Watch out for: check which SERP features you need and whether they are included in the plan or request mode you choose.

4. DataForSEO

DataForSEO is less of a single Google SERP API and more of a full SEO data platform.

Its SERP pricing page lists many endpoints, including Google Organic, Google AI Mode, Google Maps, Google Local Finder, Google News, Google Images, Google Jobs, Google Autocomplete, Bing Organic, YouTube, Yahoo, Baidu, Naver, and more.

DataForSEO’s SERP API product page states pricing from $0.0006 per SERP in Standard Queue to $0.002 in Live mode, which roughly translates to $0.60 to $2.00 per 1,000 SERPs depending on mode.

Best for: SEO platforms, rank trackers, keyword tools, and teams that need more than basic Google search results.

Watch out for: the pricing model can be more complex than simple monthly request packages, so read the endpoint-specific pricing carefully.

5. Bright Data

Bright Data is more enterprise-oriented than many pure SERP API tools.

Its SERP pricing page lists pay-as-you-go pricing at $1.5 per 1,000 results, then 380K results at $1.3/1K for $499/month, 900K results at $1.1/1K for $999/month, and 2M results at $1/1K for $1,999/month. It also emphasizes paying only for success.

Bright Data’s documentation says its SERP API uses per-1,000 successful request pricing, failed or errored requests are not billed, and parsing and unlocking are included.

Best for: enterprise teams that need SERP data as part of a larger web data, proxy, or scraping infrastructure.

Watch out for: it may be more platform than you need if you only want lightweight Google SERP JSON for a small app.

6. Oxylabs

Oxylabs is another enterprise-grade scraping and SERP data provider.

Its SERP Scraper API page says pricing starts from $1.6 per 1,000 results and offers a free trial with up to 2K free results. It positions the product for real-time extraction from top search engines, including SEO analysis, market research, competitor tracking, ranking analysis, and online reputation use cases.

The same page says SERP API results are delivered in real time, usually in less than 10 seconds, and that billing is based on successfully extracted data.

Best for: large-scale SERP scraping, enterprise data collection, and managed scraping infrastructure.

Watch out for: it is usually a better fit for teams that value infrastructure depth and support over the lowest entry price.

7. SearchAPI

SearchAPI focuses on real-time SERP scraping with structured JSON output and geo-targeting.

Its pricing page lists a Developer plan at $40/month for 10,000 searches, or $4 per 1,000 searches. Larger plans include $100/month for 35,000 searches at $3/1K, $250/month for 100,000 searches at $2.5/1K, $500/month for 250,000 searches at $2/1K, and up to $5,000/month for 5M searches at $1/1K. It also says only successful searches with a 200 status code incur charges, and the page offers 100 free requests.

Best for: developers who want clean Google SERP API integration, geo-targeting, and straightforward plans.

Watch out for: the entry unit price is higher than some low-cost options, though high-volume plans reduce the rate.

8. SerpApi

SerpApi is one of the most mature and widely known SERP API providers.

Its pricing page lists a free plan with 250 searches per month. Paid plans include $25/month for 1,000 searches, $75/month for 5,000 searches, $150/month for 15,000 searches, and $275/month for 30,000 searches. The page also says only successful searches count toward monthly usage; cached, errored, and failed searches do not.

SerpApi also lists a large set of Google APIs and integrations, including Google Search, Google AI Overview, Google Ads, Google Images, Google Jobs, Google Local, Google Maps, Google News, Google Shopping, Google Trends, and more.

Best for: mature Google SERP workflows, broad Google endpoint coverage, and teams already integrated with SerpApi schemas.

Watch out for: based on public pricing, SerpApi is not usually the lowest-cost option if your main goal is high-volume Google SERP monitoring.

Which Low-Cost Google SERP API Should You Choose?

There is no single best choice for everyone.

You can test the same workflow with tools like SerpApi, SearchAPI, Bright Data, or Talordata. The important part is whether the response is clean enough for your SEO tool, AI agent, or data pipeline to use directly.

Final Recommendation

A low-cost SERP API should not only be cheap on a pricing page.

It should return complete fields, support your target locations, handle failures clearly, and reduce the amount of cleanup code your team needs to write.

For quick prototypes, Serper and SearchAPI are easy to test.

For SEO platforms, DataForSEO and SerpApi offer broader ecosystems.

For enterprise infrastructure, Bright Data and Oxylabs are strong candidates.

For cost-sensitive SERP monitoring, multi-engine search data, and AI / RAG search context, Talordata and Scrapingdog are worth close comparison.

Before choosing, run the same real queries across two or three providers. Compare field completeness, localization, schema stability, retry rate, and cost per usable result. That test will tell you more than any pricing table.