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.
Fast Google search results as an API — your AI gets real-time search data without scraping websites.
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.
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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.
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.
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.
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.
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.
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.
Free
$50
$375
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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.
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.
Web Scraping
Enterprise web data platform: proxies, scraping APIs, and ready-made datasets — increasingly used as the data backbone for AI agents.
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