Web search & research
Pull fresh facts from the live web in seconds, or run deep multi-page research that scrapes, crawls, and extracts structured data.
Last updated July 14, 2026
The assistant isn't limited to what it already knows. When your question needs current information, it searches the live web and answers with fresh results. And when a single search isn't enough, it can do real research, reading full pages, working through entire sites, and pulling out the specific details you need. Together these turn the open web into fast answers when you want them and organized, structured data when you need depth.
Quick web search for live data
You don't need to flip a switch. Just ask naturally, and the assistant reaches for live search whenever your question calls for current information, such as today's facts, latest news, prices, hours, or anything else that changes over time. For example:
- "What's the latest on this company's funding round?"
- "Find current pricing for these three tools."
- "What are the opening hours for this supplier?"
What you get back:
- Up-to-date answers drawn from live sources rather than stale knowledge.
- Clear results presented as easy-to-scan cards with links you can open.
- Follow-through, so you can act on what's found, such as "add the best option to my tasks" or "email me a summary."
Deep web research
When you need thoroughness and structure, the assistant goes beyond a quick lookup. It reads full pages, follows links across sites, and extracts the exact fields you define, then hands you organized, usable results. This is how you turn specialized sources like marketplaces, listings, and directories into structured data you can actually work with. Specifically, it can:
- Scrape a page, reading the full content of a specific URL you point it to.
- Crawl a site, following links across many pages to gather everything relevant.
- Extract structured data, pulling names, prices, contacts, specs, or any fields you define into a clean table.
- Compile findings into a summary, report, or document you can share.
Asking for research
Tell the assistant what you're after, for example "gather the pricing and features from these five competitor pages," or "extract every product name and price from this catalog."
Share the URLs, or describe the kind of sites to look at. The assistant handles the reading and extraction for you.
Results come back as clear tables and cards. Ask the assistant to save them to a document, a connected sheet, or your workspace.
Specialized research sources
Praxivara connects to specialized research sources for sites like marketplaces, real-estate listings, maps, social profiles, and finance data. You don't need to name a tool or pick a connector. Just describe what you need, and the assistant reaches for the right source automatically.
Search or deep research?
Both draw on the live web, but they suit different jobs. Reach for a quick search when you want a fast fact or a handful of links; reach for deep research when you need thoroughness, structure, and data pulled from across many pages.
| Quick web search | Deep web research |
|---|---|
| Fast and conversational | Systematic and thorough |
| A fact or a few links | Data pulled from many pages |
| Answers inline in chat | Structured tables, reports, and documents |
| Reads a single page on request | Scrapes, crawls, and extracts across a site |
For a specific page, ask the assistant to read it directly. For a full, structured investigation across many pages, use deep research.
Credits and usage
A quick lookup is light. Deep research does more work, so it uses more credits. You can watch usage on your Usage page and keep requests focused, pointing the assistant at the sources and fields that matter, to stay efficient.