Let your AI agent search across the whole web with the fastest and accurate web search API by Crustdata - Control your search results by filtering on the website domains, date posted, sources and geo location. - Search across the news articles and social posts published just an hour ago. - Search for open source creators and authors of research papers - Get exact answers to your query via deep research mode - Combine with our fetch API to extract all content from a web page
Hi Product Hunt, Garry here. I’m excited to help launch Crustdata (YC F24)'s newest product: The WebSearch API.
It lets you search the whole web via a simple API, making it accessible for AI agents, products and tools.
Think of this API as the fundamental layer on which you can build any tool that needs public web info (people, companies, posts, pricing pages, research articles, docs, blogs, etc).
Why it matters:
The web wasn’t built for AI agents. It was built for the human eye. Inconsistent HTML, CAPTCHAs, and brittle scrapers make the web hard to use as input for agents.
As a result, agents lack vital qualitative information and cannot perform even simple tasks without accessing information from the web.
The WebSearch API returns search results and page content as clean, predictable JSON you can use as input for AI agents, workflows, and apps.
What you can build with it:
AI recruiting tools: Find candidates such as researchers and engineers from public work (papers, GitHub profiles).
AI SDRs and GTM agents: Find more information about prospects from podcasts, blogs, forums, and feed this into personalized outreach workflows.
Competitive Research Tools: Track competitor pricing, product launches, and market positioning so you can detect opportunities and risks.
SEO Tools: Pull meta data, citations, and ranking data without building fragile scrapers.
Investment agents: Aggregate company information and market sentiment from news, blogs, and product pages to spot investment opportunities and risks.
AI coding agents: Fetch and parse the latest documentations, recent library updates so they can generate accurate code.
How to integrate into your AI agent or tool:
Get started in under 60 seconds. Add these lines of code with your API key to access the entire web as structured JSON:
Great service! Can you scan LinkedIn? If yes, can it scan posts too? I need to read posts and get notified when a client is looking for my service. We’re willing to pay for that 🙂
Using web data for SDRs and GTM agents makes a lot of sense. Do you see teams using this more for real-time enrichment or scheduled background research?
Congrats 🙌🏻 BTW, how do you handle dynamic sites and frequent content changes at scale?
Congrats！And I am curious about the differences between crustdata api and google or tavily api
Crustdata’s API sounds like a total powerhouse for AI agents! I’m really curious if the "deep research mode" can actually navigate through paywalls or complex sites to find those exact answers. It’s also impressive that it tracks social posts from just an hour ago, but I wonder how it ensures the accuracy of such real-time data. Being able to filter by geo-location is a huge plus, though I’d love to know if there are any limits on the number of domains we can filter at once. Finally, does combining it with the fetch API require a lot of extra coding, or is the integration pretty seamless?
Let’s gooo Crustdata team! Congrats on the launch, this is just the beginning!
How are you thinking about rate limits and cost predictability as agents scale and make frequent web calls in production?
Congrats! What has been the most popular use case among your users or customers?
Is an hour the buffer time or can it even provide real-time updates? Example, some news broke a minute ago?
Congrats on the launch! Crustdata looks perfect for powering serious, real-time GTM AI agents.
Search quality is getting worse due to SEO spam and duplicated content across providers. What techniques do you use (or plan to use) to improve trust and usefulness of results for agents—beyond returning a SERP—and how do you measure success (e.g., downstream task success rate vs human relevance labels)?
Love the simplicity here! Building and maintaining internal scrapers to bypass CAPTCHAs is a nightmare for small teams. I’m curious: How do you handle the freshness of the data? Is it crawling in real-time when the API is called, or are you serving results from a pre-indexed cache? For a high-frequency tool like a price tracker or a daily research agent, what’s the typical latency we should expect?
Hi Product Hunt, Garry here. I’m excited to help launch Crustdata (YC F24)'s newest product: The WebSearch API.
It lets you search the whole web via a simple API, making it accessible for AI agents, products and tools.
Think of this API as the fundamental layer on which you can build any tool that needs public web info (people, companies, posts, pricing pages, research articles, docs, blogs, etc).
Why it matters:
The web wasn’t built for AI agents. It was built for the human eye. Inconsistent HTML, CAPTCHAs, and brittle scrapers make the web hard to use as input for agents.
As a result, agents lack vital qualitative information and cannot perform even simple tasks without accessing information from the web.
The WebSearch API returns search results and page content as clean, predictable JSON you can use as input for AI agents, workflows, and apps.
What you can build with it:
AI recruiting tools: Find candidates such as researchers and engineers from public work (papers, GitHub profiles).
AI SDRs and GTM agents: Find more information about prospects from podcasts, blogs, forums, and feed this into personalized outreach workflows.
Competitive Research Tools: Track competitor pricing, product launches, and market positioning so you can detect opportunities and risks.
SEO Tools: Pull meta data, citations, and ranking data without building fragile scrapers.
Investment agents: Aggregate company information and market sentiment from news, blogs, and product pages to spot investment opportunities and risks.
AI coding agents: Fetch and parse the latest documentations, recent library updates so they can generate accurate code.
How to integrate into your AI agent or tool:
Get started in under 60 seconds. Add these lines of code with your API key to access the entire web as structured JSON:
curl 'https://api.crustdata.com/screener/web-search?fetch_content=true' \
--request POST \
--header 'Content-Type: application/json' \
--data '{
"query": "Open AI recent product launches",
"geolocation": "US"
}'
That’s it. It’s as simple as that.
For non-technical users:
If you aren’t comfortable with coding, don’t worry. Our documentation is written to work with AI coding assistants like Claude or ChatGPT.
Simply:
Copy our API documentation
Paste it into Claude Code or Cursor
Describe what data you need in plain English (e.g., "Find all TypeScript developers who contributed to Next.js projects")
Let the AI generate the API call for you
Get working code you can use immediately, without writing a single line yourself
Example data you can find with this API:
For Sales:
To find specific pain points or angles to personalize messaging through information from a funding article:
Search query: {founder name} site:techcrunch.com
To find specific pain points or angles to personalize messaging based on information from blogs or podcasts the prospect appeared on:
Search query: {founder name} “podcasts” “blogs”
For Recruiting:
To find engineers with a specific skillset from Github:
Search query: "i'm a" "frontend developers" "react" site:github.com
Finding researchers by publication topics:
Search query: "machine learning" "interpretability" site:arxiv.org
For Market Research and Investment:
To analyze the recent market sentiment of a company:
Search query: Salesforce AND (sentiment OR review OR "market perception" OR "analyst sentiment")
Date range: startDate: July 13, 2025 | endDate: Jan 13, 2026
To surface product launches or interesting events about a company:
Search query: "lovable AND ("product launch" OR "new feature" OR "beta" OR "partnership" OR "introducing") site:lovable.dev"
For AI coding agents:
To track library updates and changes:
Search query: "React 19" AND ("breaking changes" OR "migration guide" OR "what's new")
Key Features and Differentiators:
Fastest WebSearch API with the subsecond latency
Most accurate WebSearch API compared to other Web APIs
Access the latest web pages indexed within minutes of being updated and available in search results
Results from hundreds of sources from the web for one query
Filters to control results (language, location, site/source, date ranges)
APIs built for production with high throughput
Thanks for your support!