Try It Live
Enter any company name or website domain above. The tool will scrape their website, pull recent news headlines, and generate an AI brief in seconds — no sign-up, no API key required from you.
Try searching:
- A prospect you're preparing to call
- A competitor you want to understand
- A company you're evaluating as a partner or vendor
How It Works
This demo is powered by an n8n workflow that chains live web data with an OpenAI language model to produce structured business intelligence on demand.
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Input Handling — Accepts a company name or domain. Automatically resolves the website URL and constructs a targeted Google News RSS query.
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Website Scraping — Fetches the company's homepage via HTTP Request, strips HTML tags, and extracts clean readable text (up to 3,500 characters) for the AI to analyze.
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News Aggregation — Pulls the five most recent headlines from Google News RSS for the company, including publication source and date.
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AI Synthesis — GPT-4o-mini receives the website content and news headlines and returns a structured JSON report: company overview, industry, size estimate, key offerings, recent news, and three B2B sales talking points.
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Structured Response — The workflow returns a clean JSON object that the frontend renders as a formatted research card — no hallucinated data, grounded in what was actually scraped.
What This Demonstrates
| Capability | Description |
|---|---|
| Live web scraping | HTTP requests to real company websites on demand |
| News aggregation | Google News RSS parsed and surfaced in real time |
| AI synthesis | GPT-4o-mini extracts structure from unstructured HTML |
| JSON output enforcement | Strict prompting produces machine-readable results |
| Error resilience | Graceful fallback if the website blocks scraping |
From Demo to Production
This demo scrapes a single company on demand. A production deployment handles hundreds of companies, enriches data from multiple sources, and feeds research directly into your sales workflow.
Real-World Challenges
| Challenge | Why It's Hard | How to Solve It |
|---|---|---|
| Website scraping reliability | Anti-bot measures, JavaScript-rendered sites, and CAPTCHAs block simple HTTP requests | Rotating proxy pools, headless browser rendering (Puppeteer/Playwright), and fallback to cached data when live scraping fails |
| Data freshness | Cached data goes stale; news has variable lag depending on source | Configurable refresh intervals per company, freshness indicators on output, and real-time news webhooks for priority accounts |
| Information accuracy | AI can misinterpret scraped content, especially from complex or poorly structured sites | Confidence scoring on extracted fields, human-in-the-loop review for high-stakes research, and multi-source cross-referencing |
| Scaling to hundreds of companies | Batch processing hits rate limits, and costs multiply quickly | Job queuing with rate limit awareness, tiered refresh schedules (hot accounts daily, others weekly), and cost caps per batch run |
| Enrichment depth | Basic web scrape captures surface-level data; deep firmographics require paid sources | Layered enrichment — free scraping first, then optional paid APIs (Clearbit, ZoomInfo, Apollo) for revenue, headcount, tech stack, and funding data |
| CRM integration | Research needs to land in the rep's workflow, not a separate tool | Bi-directional CRM sync — push research cards into Salesforce/HubSpot records and trigger refreshes when deals advance stages |
Cost Estimates
| Line Item | Solo / Startup | Growth Team | Enterprise Sales Org |
|---|---|---|---|
| AI API (GPT-4o-mini) | $20-80/mo | $80-300/mo | $300-1,200/mo |
| Web scraping infrastructure (proxies, headless browsers) | $50-200/mo | $200-800/mo | $800-3,000/mo |
| Paid data enrichment (Clearbit, ZoomInfo, Apollo) | $0-200/mo | $200-1,500/mo | $1,500-8,000/mo |
| CRM integration | $0-100/mo | $100-400/mo | $400-1,500/mo |
| Total monthly | ~$100-500 | $500-2,500 | $2,500-12,000 |
ROI Definition
- Primary metric: Time saved per prospect research (target: 15-30 minutes saved per company)
- Secondary metrics: Increased call-to-meeting conversion from better preparation
- Break-even timeline: 1-2 months for most sales teams
- Example: A 20-person sales team researching 50 prospects/week. At 20 minutes saved per company and $50/hr rep cost = $16,700/month saved vs ~$1,000/month tool cost. Better prep also increases meeting conversion by 10-20%.
Use Cases
- Sales reps preparing for prospect calls and discovery meetings
- Business development teams researching potential partners
- M&A and due diligence teams building company profiles
- Competitive intelligence teams monitoring industry players
- Investor relations teams tracking portfolio company news
- Account managers staying current on key client developments
Technology Stack
- Orchestration: n8n (cloud-hosted workflow automation)
- AI Model: OpenAI GPT-4o-mini (structured JSON synthesis)
- Web Data: HTTP Request node (live website scraping)
- News Data: Google News RSS (free, no API key required)
- Frontend: Custom React widget with real-time result rendering
Want This for Your Business?
This pattern — combining live data scraping with AI synthesis — powers use cases like lead enrichment, competitive monitoring, due diligence automation, and customer research. A production deployment with CRM integration, custom data sources, and branded output typically takes 2–4 weeks and starts at $3,000.