
SerpApi
DataForSEO
SearchApi.io
Zenserp
Oxylabs
Bright Data
SerpKite
Google Shopping and Google Search data API. Products, sellers, prices and SERPs as clean JSON, from $1 per 1,000 requests.

SerpApi
DataForSEO
SearchApi.io
tavily
JINA
Zenserp
Firecrawl
Google Search API + Web to Text API for AI agents — Real-time SERP, RAG-ready content. No rate limits, $0.56/1K, 100 free credits.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | crawlerdata.com | searchcans.com |
| Pricing | ||
| Platforms | — | |
| Company | 2026 | Startup from the United States · 20 - 49 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


CrawlerData is a REST API for Google Shopping and Google Search data. Send a query, get structured JSON back. Endpoints - Google Shopping search, product sellers and offers, product details - Google Search organic results, Images, News, Local and Autocomplete Why CrawlerData - Built for...
SearchCans is a high-speed, dual-engine API infrastructure engineered to eliminate the latency bottlenecks and restrictive hourly rate limits common in traditional web scraping and SERP tools. Built specifically for AI developers, autonomous agents, and RAG pipelines, it provides everything your...
What each product offers, as listed by its team.


No features have been listed yet.
An editorial look at what each product does well and who it suits.


No analysis of CrawlerData yet.
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing CrawlerData and SearchCans.
SearchCans's answer:
SearchCans is unique because it replaces the restrictive, industry-standard hourly rate limits with a Parallel Search Lanes model. Instead of throttling developers with a cap on requests per hour, we give accounts dedicated concurrent lanes, allowing AI agents to burst workloads instantly. Furthermore, we combine a robust SERP API (Google & Bing) and a Web-to-Markdown Reader API into a single billing pool and authentication key, drastically simplifying the tech stack for AI builders.
SearchCans's answer:
Builders choose SearchCans over competitors for three main reasons:
SearchCans's answer:
The primary audience consists of AI developers, software engineers, SaaS founders, and enterprise teams who are actively building autonomous AI agents, LLM orchestration workflows, and RAG (Retrieval-Augmented Generation) pipelines that depend heavily on real-time, accurate, and clean live web data.
SearchCans's answer:
We built SearchCans out of pure frustration while developing our own autonomous AI workflows. We realized that traditional scraping tools and SERP APIs were engineered for SEO marketers, not AI models. They were too slow (sequential), overly expensive, returned bloated HTML that wasted LLM tokens, and constantly blocked us with hourly rate limits. We decided to build a developer-first infrastructure from scratch that treats live web search and clean markdown extraction as a high-concurrency, unified pipeline.
SearchCans's answer:
SearchCans is built on a highly concurrent, low-latency backend infrastructure optimized for scale. We leverage high-performance server clusters, optimized headless browser engines for seamless JavaScript rendering, an intelligent global proxy rotation network to bypass anti-bot shields, and enterprise-grade cloud systems targeting 99.99% uptime.
SearchCans's answer:
Share your experience with using CrawlerData and SearchCans. For example, how are they different and which one is better?
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