Bring the live web
into your workflows
Search the web, extract the readable content of a page, and crawl sites from inside a workflow. AI agents answer from current facts instead of stale training data, and you pull web data without writing or maintaining a scraper. Powered by Tavily over MCP, plus any HTTP source you point at.
- A question or topictrigger
- Search the webaction
- Extract the contentaction
- Summarize with an agentAI
- Use it downstreamdone
Search, extract, use
Search the web
Run a web search from inside a workflow to find current, relevant sources for whatever the step needs.
Extract the content
Pull the readable body out of a page, or map and crawl a site, without writing scraping logic to maintain.
Use it downstream
Feed the result to an AI agent to ground its answer, or pass the structured data to the next step.
The web, as a workflow step
Live web search
Search the open web mid-workflow and get back relevant, current results to act on.
Content extraction
Pull the clean, readable body out of a URL, so you work with content, not raw HTML.
Site mapping and crawl
Discover and crawl URLs across a domain when you need more than a single page.
Ground your agents
Give an AI agent fresh facts to answer from, instead of relying on stale training data.
Any HTTP source too
Beyond search, call any URL or API directly, so the data you need is never out of reach.
In a durable workflow
Research runs as a retried, logged step, not a one-off in chat, so results are repeatable and observable.
What you can build
Grounded AI answers
Search the web before an agent answers, so its response reflects today, not its training cutoff.
Enrich a record
Look up a company, person, or topic to enrich a lead or ticket before it moves on.
Monitor and digest
Search a topic on a schedule and summarize what is new into a digest for the team.
Extract from a page
Pull the content of a URL into structured data, with no custom scraper to keep alive.
A research step vs scrapers and copy-paste
Search and read the web as a durable workflow step, instead of maintaining brittle scrapers or pasting links into a chat window.
Spojit fits when
- Your agents need facts newer than their training data
- You want web content as structured data, not raw HTML
- A scraper would just be one more thing to maintain
Scrapers and copy-paste mean
- A custom scraper that breaks when a page changes
- Agents that confidently answer from stale data
- Research that lives in a chat, not your workflow
Put the web in your workflow
Start free and give your agents live web access. No card needed.