Firecrawl
When customers ask questions that live on the web, your AI agent scrapes the answer in real time. Product pages, competitor pricing, documentation sites, Firecrawl fetches clean, structured content so your agent always responds with the freshest data available.
Your AI agent pulls live content from any URL, crawls multi-page sites, and maps entire domains, all while the customer waits just seconds for an answer.
Firecrawl
Discover how businesses pair Firecrawl with AI agents to fetch live web data, answer research questions, and deliver up-to-the-minute information during customer conversations.
A prospect asks how your product compares to a competitor. Your AI Agent scrapes the competitor's feature page with Firecrawl, extracts pricing tiers and feature lists as clean markdown, and presents a side-by-side comparison in the chat. The prospect gets an honest, data-backed answer in seconds, building trust and moving the deal forward.
A developer asks a technical question about your API. Your AI Agent maps your documentation site to find the relevant page, scrapes that specific URL, and returns the exact code example or parameter reference the developer needs. No more telling customers to 'check the docs' and hoping they find it themselves.
A customer wants to know if a specific item is available from one of your distribution partners. Your AI Agent scrapes the partner's product page, extracts stock availability and current pricing, and confirms the details on the spot. The customer places their order immediately instead of waiting for your team to check manually.
Firecrawl
FAQs
Scrape extracts content from a single URL and returns it as clean markdown or HTML. Crawl recursively follows links starting from a base URL to collect content across multiple pages. Map discovers all accessible URLs on a domain without fetching their content, useful for understanding site structure before targeted scraping.
Yes. Firecrawl handles dynamic, JavaScript-rendered websites out of the box. You can also set a wait_for parameter in milliseconds to give the page extra time to load before extraction. Single-page apps and React sites work without any special configuration.
Sign up or log in at firecrawl.dev, then navigate to your API keys section in the dashboard. Copy the key and paste it into the Tars tool configuration as a Bearer token. Detailed steps are available at docs.firecrawl.dev/introduction.
No. Scraped content is fetched live during the conversation, used to generate the agent's response, and not persisted in any Tars database afterward. Each scrape is a fresh request to Firecrawl's API for the most current page content.
Absolutely. The scrape endpoint supports include_tags and exclude_tags parameters. You can tell the agent to grab only specific HTML elements like pricing tables, FAQ sections, or article bodies, and ignore navigation bars, ads, and footers entirely.
Yes. The crawl endpoint accepts a limit parameter (default 1000 pages) and a max_depth parameter to control how deep the crawler follows links. Your agent can set conservative limits for quick answers or raise them when thorough research is required.
Firecrawl's MCP server is designed for developer tools like Cursor or Claude Desktop. Tars puts Firecrawl's scraping power behind a customer-facing AI agent on your website, WhatsApp, or SMS. Your end users benefit from live web data without needing any technical setup themselves.
The scrape endpoint returns content in markdown by default, which works well for AI processing. You can also request html, rawHtml, links, or screenshot formats by setting the formats parameter. Multiple formats can be combined in a single request for richer responses.
Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.
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