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Startup Funding Research Automation with Claude, Perplexity AI, and Airtable

by Julian KaiserUpdated: Last update 6 months agoSource: n8n.io
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Getting Started

Startup Funding Research Automation with Claude, Perplexity AI, and Airtable

How it works

This intelligent workflow automatically discovers and analyzes recently funded startups by:

  1. Monitoring multiple news sources (TechCrunch and VentureBeat) for funding announcements
  2. Using AI to extract key funding details (company name, amount raised, investors)
  3. Conducting automated deep research on each company through perplexity deep research or jina deep search.
  4. Organizing all findings into a structured Airtable database for easy access and analysis

Set up steps (10-15 minutes)

  1. Connect your news feed sources (TechCrunch and VentureBeat). Could be extended. These were easy to scrape and this data can be expensive.
  2. Set up your AI service credentials (Claude and Perplexity or jina which has generous free tier)
  3. Connect your Airtable account and create a base with appropriate fields (can be imported from my base) or see structure below.
    Airtable Base

Structure Funding Round Base

Field NameData TypeDescription
website_urlStringURL of the company website
company_nameStringName of the company
funding_roundStringThe funding stage or round (e.g., Series A, Seed, etc.)
funding_amountNumberThe amount of funding received
lead_investorStringThe primary investor leading the funding round
marketStringThe market or industry sector the company operates in
participating_investorsStringList of other investors participating in the funding round
press_release_urlStringURL to the press release about the funding
evaluationNumberThe company's valuation

Structure Company Deep Research Base

Field NameData TypeDescription
website_urlStringURL of the company website
company_nameStringName of the company
funding_roundStringThe funding stage or round (e.g., Series A, Seed, etc.)
funding_amountNumberThe amount of funding received
currencyStringCurrency of the funding amount
announcement_dateStringDate when the funding was announced
lead_investorStringThe primary investor leading the funding round
participating_investorsStringList of other investors participating in the funding round
industryStringThe industry sectors the company operates in
company_descriptionStringDescription of the company's business
hq_locationStringCompany headquarters location
founding_yearNumberYear the company was founded
founder_namesStringNames of the company founders
ceo_nameStringName of the company CEO
employee_countNumberNumber of employees at the company
total_fundingNumberTotal funding amount received to date
total_funding_currencyStringCurrency of total funding
funding_purposeStringPurpose or use of the funding
business_modelStringCompany's business model
valuationObjectCompany valuation information
previous_roundsObjectInformation about previous funding rounds
source_urlsStringSource URLs for the funding information
original_reportStringOriginal report text about the funding
marketStringThe market the company operates in
press_release_urlStringURL to the press release about the funding
evaluationNumberThe company's valuation

Notes

I found that by using perplexity via open router, we lose access to the sources, as they are not stored in the same location as the report itself so I opted to use perplexity API via HTTP node.

For using perplexity and or jina you have to configure header auth as described in Header Auth - n8n Docs

What you can learn

  • How to scrape data using sitemaps
  • How to extract strucutred data from unstructured text
  • How to execute parts of the workflow as subworkflow
  • How to use deep research in a practical scenario
  • How to define more complex JSON schemas