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Search & Discovery🔴Developer
S

Serper

Serper is a low-cost Google SERP API for developers and AI retrieval pipelines, offering 2,500 free queries, paid credit packs from $50 for 50,000 queries, fast REST access, and structured JSON results across search, images, news, places, shopping, scholar, patents, and autocomplete.

Starting atFree
Visit Serper →
💡

In Plain English

Fast Google search results as an API — your AI gets real-time search data without scraping websites.

OverviewFeaturesPricingGetting StartedUse CasesIntegrationsLimitationsFAQSecurityAlternatives

Overview

Serper is a Google Search API for developers and AI applications that need fast, affordable access to current Google results, with 2,500 free queries, paid credit packs starting at $50 for 50,000 queries, and structured SERP data that can feed agents, research tools, monitoring systems, and retrieval pipelines without custom scraping infrastructure. It returns structured JSON through a simple REST interface, including organic results, knowledge graphs, answer boxes, People Also Ask sections, related searches, and commerce-oriented results, so applications can use search data without maintaining brittle SERP scraping code.

The API design prioritizes speed, predictable cost, and straightforward implementation. A single POST request with a search query can return Google results in about 1-2 seconds, and Serper’s public site lists search modes that include Search, Images, News, Maps, Places, Videos, Shopping, Scholar, Patents, and Autocomplete. Parameters allow controlling location, language, result count, and pagination for more targeted result retrieval.

For AI agents, Serper solves the critical "knowledge recency" problem. LLMs have training data cutoffs and can't access current information unless they are connected to tools. By integrating Serper, agents can search for current prices, news, documentation, product information, company data, or other real-time web signals. The structured JSON output is particularly agent-friendly because there is no HTML parsing step before search snippets, URLs, and SERP features can be ranked, filtered, cited, or passed to a page-reading tool.

Serper is commonly used in LangChain, LlamaIndex, and CrewAI workflows. In those systems, Serper is not the orchestration layer; it is the search provider that the agent or workflow calls when it needs Google results. That distinction matters because Serper does not manage memory, planning, evaluation, routing, or browser execution by itself.

Pricing follows a credit top-up model rather than a monthly subscription model. Serper advertises 2,500 free queries, then paid packs including Starter at $50 for 50,000 credits, Standard at $375 for 500,000 credits, Scale at $1,250 for 2.5 million credits, and Ultimate at $3,750 for 12.5 million credits, excluding taxes. Higher packs reduce the per-1,000-query rate and raise listed queries-per-second limits, which makes Serper attractive for teams running frequent agent searches.

Key limitations include lack of JavaScript rendering, no full-page extraction, no self-hosted deployment, and dependence on Google’s index and SERP presentation for result relevance. For agents that need to read the complete contents of linked pages after search, Serper is typically paired with a crawler or scraper such as Firecrawl, ScrapingBee, or another browser-capable extraction service.

🦞

Using with OpenClaw

▼

Use Serper from OpenClaw through its REST API by storing SERPER_API_KEY securely, sending search requests from a custom skill, and passing returned result URLs or snippets into downstream analysis steps.

Use Case Example:

Give OpenClaw workflows current Google search results for research, monitoring, competitive intelligence, and retrieval-augmented answer generation.

Learn about OpenClaw →
🎨

Vibe Coding Friendly?

▼
Difficulty:beginner

Simple REST API with API-key authentication; best suited to developer-led workflows or no-code tools that can make authenticated HTTP requests.

Learn about Vibe Coding →

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Editorial Review

Serper is a low-cost Google SERP API for AI agents, with fast response times, structured JSON output, and a credit model that starts at 2,500 free queries and $50 for 50,000 paid queries. It does one thing well: turning Google results into API-ready data for applications that already have their own orchestration, ranking, or page-reading layer.

Key Features

Structured Google SERP API+

Serper converts Google search results into JSON that applications can consume directly. It supports organic results, knowledge graphs, answer boxes, People Also Ask sections, related searches, and shopping-oriented result data, reducing the need for fragile HTML parsing.

Fast Search Responses+

Serper advertises typical response times of about 1-2 seconds for a search request. That makes it practical for user-facing AI agents where long search latency would noticeably slow the final answer.

Multiple Search Types+

Serper supports more than standard web search, including images, news, maps, places, videos, shopping, scholar, patents, and autocomplete. This gives agents and applications more context when the task involves local businesses, visual discovery, product research, recent events, academic references, or patent lookup.

AI Framework Compatibility+

Serper is commonly used in LangChain, LlamaIndex, and CrewAI ecosystems. In those workflows, Serper acts as the search tool while the framework handles planning, tool selection, memory, and multi-step execution.

Low-Cost Search Volume+

Serper lists 2,500 free queries and paid credit packs starting at $50 for 50,000 credits, with larger packs lowering the per-1,000-query price. For teams that trigger many searches from AI agents, that pricing can keep retrieval costs predictable.

Pricing Plans

Free

Free

  • ✓2,500 free queries
  • ✓No credit card required
  • ✓Google search results through API
  • ✓Structured JSON responses
  • ✓Access suitable for development and prototyping

Starter

$50

  • ✓50,000 credits
  • ✓$1.00 per 1,000 queries
  • ✓50 queries per second
  • ✓Real-time results
  • ✓Customize query location
  • ✓Credits valid for 6 months

Standard

$375

  • ✓500,000 credits
  • ✓$0.75 per 1,000 queries
  • ✓100 queries per second
  • ✓Real-time results
  • ✓Customize query location
  • ✓Credits valid for 6 months

Scale

$1,250

  • ✓2,500,000 credits
  • ✓$0.50 per 1,000 queries
  • ✓200 queries per second
  • ✓Real-time results
  • ✓Customize query location
  • ✓Credits valid for 6 months

Ultimate

$3,750

  • ✓12,500,000 credits
  • ✓$0.30 per 1,000 queries
  • ✓300 queries per second
  • ✓Real-time results
  • ✓Customize query location
  • ✓Credits valid for 6 months
See Full Pricing →Free vs Paid →Is it worth it? →

Ready to get started with Serper?

View Pricing Options →

Getting Started with Serper

  1. 1Create a Serper account and get the SERPER_API_KEY from the dashboard.
  2. 2Choose the Google result type your application needs, such as search, images, news, places, videos, shopping, scholar, patents, or autocomplete.
  3. 3Send a test POST request with a query and confirm that your application can parse the JSON fields it needs.
  4. 4Add caching, timeout handling, retries, and query deduplication before production traffic.
  5. 5Pair Serper with a page-reading or scraping tool if the workflow needs full webpage content after finding result URLs.
Ready to start? Try Serper →

Best Use Cases

🎯

Adding current Google search results to an AI agent that needs to answer questions about recent products, prices, companies, documentation, or news.

⚡

Building a research assistant that first retrieves Google results, then passes the most relevant URLs to a separate page-reading or scraping tool.

🔧

Powering competitive-intelligence workflows that periodically query Google for brand, product, or keyword results and store structured SERP snapshots.

🚀

Creating customer-support assistants that can look up public docs, changelogs, status pages, or help-center content before generating an answer.

💡

Prototyping LangChain, LlamaIndex, or CrewAI agents that need Google search through a simple API-key setup.

🔄

Running localized search workflows where location, language, result count, and pagination parameters help gather more targeted SERP data.

Integration Ecosystem

32 integrations

Serper works with these platforms and services:

🧠 LLM Providers
OpenAIAnthropicGoogle
📊 Vector Databases
PineconeWeaviateQdrant
☁️ Cloud Platforms
AWSgoogle-cloudAzureVercel
💬 Communication
SlackDiscord
📇 CRM
HubSpotSalesforce
🗄️ Databases
postgresqlMongoDBSupabase
🔐 Auth & Identity
api-key
📈 Monitoring
Datadogsentry
🌐 Browsers
firecrawlscrapingbeebrowserless
💾 Storage
S3google-cloud-storage
⚡ Code Execution
pythonnodejs
🔗 Other
langchainllamaindexcrewaiZapierMake
View full Integration Matrix →

Limitations & What It Can't Do

We believe in transparent reviews. Here's what Serper doesn't handle well:

  • ⚠Serper provides Google search-result data, not a proprietary web index or independent ranking engine.
  • ⚠It does not provide JavaScript rendering or full-page extraction, so dynamic websites may require a separate browser or scraping service.
  • ⚠Search quality depends on Google’s indexed results and the query formulation used by the application or agent.
  • ⚠Production usage requires cost controls such as caching, query deduplication, and rate-limit handling.
  • ⚠Teams needing self-hosted search infrastructure cannot deploy Serper on their own servers.

Pros & Cons

✓ Pros

  • ✓Returns Google SERP data as structured JSON, including organic results, knowledge graphs, answer boxes, People Also Ask, and shopping results.
  • ✓Fast response profile for agent workflows, with Serper advertising typical search responses in about 1-2 seconds.
  • ✓Developer-friendly integration model: a single REST POST request and API key are enough for basic usage.
  • ✓Covers multiple Google result types including search, images, news, maps, places, videos, shopping, scholar, patents, and autocomplete.
  • ✓Cost-effective for high-volume AI retrieval use cases, with 2,500 free queries and paid packs starting at $50 for 50,000 credits.
  • ✓Works well as a search tool inside AI orchestration frameworks such as LangChain, LlamaIndex, and CrewAI.

✗ Cons

  • ✗Serper returns search results, not full webpage content, so most RAG or research agents still need a crawler or scraper to read linked pages.
  • ✗It depends on Google’s index and SERP presentation, which means teams do not control ranking quality or result coverage.
  • ✗There is no self-hosted version; teams with strict data-routing or infrastructure-control requirements must use the cloud API.
  • ✗Lower-tier plans may require careful rate-limit handling and caching for production systems with bursty search traffic.
  • ✗The output is structured but still needs ranking, filtering, deduplication, and prompt shaping before being injected into an LLM context.

Frequently Asked Questions

What is Serper best used for?+

Serper is best used when an AI application needs current Google search results through an API. Common examples include research agents, customer-support assistants that check public documentation, market-monitoring workflows, and applications that need current pricing or news. It is not a complete RAG platform by itself; it supplies the search-result layer that another system can analyze or follow up on.

How fast is Serper for production AI workflows?+

Serper advertises typical query responses in about 1-2 seconds, with occasional slower responses when retries are needed. That speed is useful for agent workflows because web search often sits directly in the user-facing response path. For production reliability, teams should still implement timeouts, retries with exponential backoff, and caching for repeated searches.

How much does Serper cost?+

Serper offers 2,500 free queries and paid credit packs starting at $50 for 50,000 credits, excluding taxes. Larger packs include $375 for 500,000 credits, $1,250 for 2.5 million credits, and $3,750 for 12.5 million credits. The entry paid pack works out to $1.00 per 1,000 queries, while higher packs reduce the unit cost.

Does Serper replace a web scraper or crawler?+

No. Serper helps an application find relevant Google search results and SERP features, but it does not render JavaScript-heavy pages or extract the full content behind every result URL. If an agent needs to read the actual pages, summarize long documents, or extract structured data from sites, Serper is usually paired with a scraping or crawling service such as Firecrawl or ScrapingBee.

How does Serper compare with SERP API competitors?+

Serper competes most directly with services such as SerpAPI, Bright Data, DataForSEO, and Serpstack. Its strongest fit is low-cost Google SERP access for developers and AI agents that want structured JSON quickly. Teams may still choose broader data providers when they need a wider SEO data suite, scraping infrastructure, proxy management, or enterprise procurement features.

🔒 Security & Compliance

❌
SOC2
No
❌
GDPR
No
❌
HIPAA
No
❌
SSO
No
❌
Self-Hosted
No
❌
On-Prem
No
❌
RBAC
No
❌
Audit Log
No
✅
API Key Auth
Yes
❌
Open Source
No
❌
Encryption at Rest
No
✅
Encryption in Transit
Yes
Data Retention: Review Serper's privacy policy for current data-retention terms.
Data Residency: NOT PUBLICLY DOCUMENTED
📋 Privacy Policy →🛡️ Security Page →
🦞

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What's New in 2026

As of the 2026 review, Serper continues to emphasize low-cost Google SERP access for AI retrieval workflows, broad Google result-type coverage, API-key authentication, and credit-based pricing. Teams should verify current pricing, rate limits, search modes, and security documentation directly on Serper before production deployment.

Alternatives to Serper

SerpAPI

Search & Discovery

SerpAPI is a hosted SERP data API that returns structured JSON from Google, Bing, Yahoo, Yandex, Baidu, Amazon, YouTube, maps, shopping, jobs, scholar, and other search surfaces while handling rendering, proxies, CAPTCHA solving, IP rotation, and parsing.

Bright Data

Web Scraping

Enterprise web data platform: proxies, scraping APIs, and ready-made datasets — increasingly used as the data backbone for AI agents.

View All Alternatives & Detailed Comparison →

User Reviews

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Quick Info

Category

Search & Discovery

Website

serper.dev
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