Darmowy szablon automatyzacji

Automatyzacja badań nad finansowaniem startupów z Claude, Perplexity AI i Airtable

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Jak działa automatyzacja badania finansowania startupów

Ten inteligentny przepływ pracy automatycznie odkrywa i analizuje niedawno finansowane startupy poprzez:

  • Monitorowanie wielu źródeł informacji (TechCrunch i VentureBeat) pod kątem ogłoszeń o finansowaniu
  • Wykorzystanie AI do wyodrębnienia kluczowych szczegółów finansowania (nazwa firmy, pozyskana kwota, inwestorzy)
  • Przeprowadzanie automatycznych pogłębionych badań nad każdą firmą za pomocą Perplexity Deep Research lub Jina Deep Search
  • Organizowanie wszystkich wyników w uporządkowanej bazie danych Airtable dla łatwego dostępu i analizy

Kroki konfiguracji (10-15 minut)

  1. Połącz źródła kanałów informacyjnych (TechCrunch i VentureBeat)
  2. Skonfiguruj dane uwierzytelniające usług AI (Claude i Perplexity lub Jina)
  3. Połącz swoje konto Airtable i utwórz bazę z odpowiednimi polami

Struktura bazy Funding Round Base

Nazwa polaTyp danychOpis
website_urlStringURL strony internetowej firmy
company_nameStringNazwa firmy
funding_roundStringEtap finansowania (np. Seria A, Seed)
funding_amountNumberKwota pozyskanego finansowania
lead_investorStringGłówny inwestor prowadzący rundę finansowania
marketStringRynek lub sektor działalności firmy

Przykłady zastosowań

Ta automatyzacja może być wykorzystana w różnych scenariuszach biznesowych i badawczych:

  • Śledzenie trendów inwestycyjnych w określonych sektorach
  • Identyfikacja potencjalnych partnerów biznesowych lub akwizycji
  • Badanie konkurencji i analiza rynku
  • Tworzenie listy leadów dla usług finansowych
  • Monitorowanie aktywności funduszy VC i aniołów biznesu
  • Badanie skuteczności różnych strategii fundraisingowych
  • Analiza geograficznego rozkładu inwestycji

Wartościowe informacje

  • Perplexity przez Open Router nie przechowuje źródeł w tym samym miejscu co raport
  • Do użycia Perplexity i Jina wymagana jest konfiguracja autoryzacji nagłówkowej
  • Można importować strukturę bazy z gotowego szablonu

Czego możesz się nauczyć

  • Jak zbierać dane przy użyciu map witryn
  • Jak wyodrębniać ustrukturyzowane dane z nieustrukturyzowanego tekstu
  • Jak wykonywać części przepływu pracy jako podprzepływy
  • Jak wykorzystać głębokie badania w praktycznym scenariuszu
  • Jak definiować bardziej złożone schematy JSON

   Skopiuj kod szablonu   
{"meta":{"instanceId":"d4d7965840e96e50a3e02959a8487c692901dfa8d5cc294134442c67ce1622d3","templateCredsSetupCompleted":true},"nodes":[{"id":"5d02237f-151b-4bb4-9341-b11149925309","name":"When clicking ‘Test workflow’","type":"n8n-nodes-base.manualTrigger","position":[-980,-40],"parameters":{},"typeVersion":1},{"id":"dc60bffa-b6f8-432d-85ed-0d08f092a454","name":"Filter","type":"n8n-nodes-base.filter","position":[-20,-220],"parameters":{"options":{},"conditions":{"options":{"version":2,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"3b4c2e25-862d-4b4e-aa66-38c5f0e5a7b2","operator":{"type":"string","operation":"contains"},"leftValue":"={{ $json['urlset.url']['news:news']['news:title'] }}","rightValue":"raise"}]}},"typeVersion":2.2},{"id":"f779a004-57f6-451b-984b-3fd9517e4842","name":"Structured Output 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evaluation of the company - full numbers please"}]}},"typeVersion":1},{"id":"370e4875-a95b-4736-b500-7427dd6b9e57","name":"Research URL","type":"@n8n/n8n-nodes-langchain.chainLlm","position":[1300,-60],"parameters":{"text":"=Find the website for this company: {{ $json.output.company_name }}","promptType":"define"},"typeVersion":1.5},{"id":"6d0cd072-f97f-466b-8e11-c2affad19a3f","name":"Extract URL","type":"@n8n/n8n-nodes-langchain.chainLlm","position":[1680,-60],"parameters":{"text":"={{ $json.text }}","promptType":"define","hasOutputParser":true},"typeVersion":1.5},{"id":"196cca20-66f0-4732-a36b-235606700bd4","name":"Merge Extracted Data","type":"n8n-nodes-base.merge","position":[720,-60],"parameters":{},"typeVersion":3},{"id":"a7063f58-6eaa-4248-b9e9-6f6cc3551d24","name":"Split TC 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}}"},{"id":"fb324383-fe81-4964-bc18-a5992e1005a8","name":"funding_amount","type":"number","value":"={{ $('Extract Structured Data ').item.json.output.funding_amount }}"},{"id":"75c1c919-0249-468d-8c08-ce818a8260b9","name":"lead_investor","type":"string","value":"={{ $('Extract Structured Data ').item.json.output.lead_investor }}"},{"id":"1b938b68-68ad-4b59-a372-d141b3fa188a","name":"market","type":"string","value":"={{ $('Extract Structured Data ').item.json.output.market }}"},{"id":"0b2efd2b-ef69-4e59-ac2b-7ef47e288965","name":"participating_investors","type":"string","value":"={{ $('Extract Structured Data ').item.json.output.participating_investors }}"},{"id":"f49e6523-f000-4c8b-bdec-7e436ead6359","name":"press_release_url","type":"string","value":"={{ $('Extract Structured Data ').item.json.output.press_release_url }}"},{"id":"270451dc-2f26-41f0-8b6a-2afe4e498652","name":"evaluation","type":"number","value":"={{ $('Extract Structured Data ').item.json.output.evaluation }}"}]}},"typeVersion":3.4},{"id":"29a49e31-22dd-4f33-89ca-d12bbf217c76","name":"Airtable","type":"n8n-nodes-base.airtable","position":[2320,-160],"parameters":{"base":{"__rl":true,"mode":"list","value":"appYwSYZShjr8TN5r","cachedResultUrl":"https://airtable.com/appYwSYZShjr8TN5r","cachedResultName":"Funding Rounds"},"table":{"__rl":true,"mode":"list","value":"tblQTIWUC8FBMF16F","cachedResultUrl":"https://airtable.com/appYwSYZShjr8TN5r/tblQTIWUC8FBMF16F","cachedResultName":"Funding Round Base"},"columns":{"value":{},"schema":[{"id":"company_name","type":"string","display":true,"removed":false,"readOnly":false,"required":false,"displayName":"company_name","defaultMatch":false,"canBeUsedToMatch":true},{"id":"website_url","type":"string","display":true,"removed":false,"readOnly":false,"required":false,"displayName":"website_url","defaultMatch":false,"canBeUsedToMatch":true},{"id":"funding_round","type":"string","display":true,"removed":false,"readOnly":false,"required":false,"displayName":"funding_round","defaultMatch":false,"canBeUsedToMatch":true},{"id":"funding_amount","type":"number","display":true,"removed":false,"readOnly":false,"required":false,"displayName":"funding_amount","defaultMatch":false,"canBeUsedToMatch":true},{"id":"lead_investor","type":"string","display":true,"removed":false,"readOnly":false,"required":false,"displayName":"lead_investor","defaultMatch":false,"canBeUsedToMatch":true},{"id":"participating_investors","type":"string","display":true,"removed":false,"readOnly":false,"required":false,"displayName":"participating_investors","defaultMatch":false,"canBeUsedToMatch":true},{"id":"market","type":"string","display":true,"removed":false,"readOnly":false,"required":false,"displayName":"market","defaultMatch":false,"canBeUsedToMatch":true},{"id":"press_release_url","type":"string","display":true,"removed":false,"readOnly":false,"required":false,"displayName":"press_release_url","defaultMatch":false,"canBeUsedToMatch":true},{"id":"evaluation","type":"number","display":true,"removed":false,"readOnly":false,"required":false,"displayName":"evaluation","defaultMatch":false,"canBeUsedToMatch":true}],"mappingMode":"autoMapInputData","matchingColumns":[],"attemptToConvertTypes":false,"convertFieldsToString":false},"options":{},"operation":"create"},"credentials":{"airtableTokenApi":{"id":"JwUch1mrw0pUVtnE","name":"Airtable Personal Access Token account 2"}},"typeVersion":2.1},{"id":"497815af-12ea-4d1e-94aa-c403bcc55f7b","name":"Sticky Note1","type":"n8n-nodes-base.stickyNote","position":[1420,400],"parameters":{"color":4,"width":300,"content":"## Company ResearchnUsing Perplexity Deep Research we can find more information about the company."},"typeVersion":1},{"id":"13a156e5-d3e0-46b8-9ad6-0a1c3de775b0","name":"Sticky Note3","type":"n8n-nodes-base.stickyNote","position":[-700,-440],"parameters":{"color":6,"content":"## TechCrunch & VentureBeatnHTTP GET requests to fetch the latest articles from tech news sitemap feeds."},"typeVersion":1},{"id":"0f202470-8506-4e01-a5fb-f3519ede91a8","name":"Sticky Note4","type":"n8n-nodes-base.stickyNote","position":[-440,-440],"parameters":{"content":"## Parse XMLnConverts XML data to structured JSON for easier processing of article metadata."},"typeVersion":1},{"id":"dd485685-9962-47b0-9876-f8ebdb434040","name":"Sticky Note5","type":"n8n-nodes-base.stickyNote","position":[-180,-440],"parameters":{"width":280,"content":"## Split Articles & Filter:nSeparates individual articles and filters to keep only the most relevant ones based on keywords (raised)"},"typeVersion":1},{"id":"fda62c36-cb3e-45a9-8c8c-42d2a3b13ea6","name":"Sticky Note6","type":"n8n-nodes-base.stickyNote","position":[120,-440],"parameters":{"content":"## Get ArticlenFetches the full article content for each relevant article in the feed."},"typeVersion":1},{"id":"caca7808-997d-48a1-8869-edcbd2dce2dd","name":"Sticky Note7","type":"n8n-nodes-base.stickyNote","position":[380,-440],"parameters":{"content":"## HTML ParsernExtracts clean text content from the HTML articles for analysis."},"typeVersion":1},{"id":"97cbd997-6f42-4454-a33a-81737ea8bd9f","name":"Sticky Note8","type":"n8n-nodes-base.stickyNote","position":[640,-440],"parameters":{"width":260,"content":"## Merge Extracted DatanCombines articles from multiple sources into a unified dataset for comprehensive analysis."},"typeVersion":1},{"id":"d9b84d9e-7718-419a-9d81-6403e3273f36","name":"Sticky Note9","type":"n8n-nodes-base.stickyNote","position":[920,-440],"parameters":{"width":300,"content":"## Extract Structured DatanIdentifies and structures key information from article text such as company names, funding details, and tech trends."},"typeVersion":1},{"id":"060e8914-c025-4594-a99a-539c5c5cfec4","name":"Sticky Note10","type":"n8n-nodes-base.stickyNote","position":[1240,-440],"parameters":{"width":360,"content":"## Research company websitenUses perplexity to find the company website with search"},"typeVersion":1},{"id":"7f1dc67d-7c2d-4b6a-83b2-c2775bc91085","name":"Sticky Note11","type":"n8n-nodes-base.stickyNote","position":[1620,-440],"parameters":{"width":360,"content":"## Extract URLnSince perplexity uses Llama which is not great at structured output - 2 step approach for a more reliable run"},"typeVersion":1},{"id":"fa7d5737-7970-478d-aa4d-24db31c6ac2e","name":"Sticky Note12","type":"n8n-nodes-base.stickyNote","position":[2000,-440],"parameters":{"width":420,"content":"## Collect data & write to airtablenCollecting all data to pass on to detailed company research and store information in airtable"},"typeVersion":1},{"id":"1ce484cc-d22c-44b7-8de3-421904307353","name":"Sticky Note2","type":"n8n-nodes-base.stickyNote","position":[2040,400],"parameters":{"color":4,"width":440,"content":"## Extract structured data from reportnDeep Research produces long text output. We use a parser here to make the information available in structured format. As the json structure is quite complex I am using a strong model and the Auto-fixing Output Parsern"},"typeVersion":1},{"id":"50fbc465-a6ab-4fc7-af1e-f91bd2f40e5d","name":"Auto-fixing Output Parser","type":"@n8n/n8n-nodes-langchain.outputParserAutofixing","position":[2280,780],"parameters":{"options":{}},"typeVersion":1},{"id":"3eb9aa59-9b57-4375-ac39-4e1fd900365e","name":"Extract Structured JSON ","type":"@n8n/n8n-nodes-langchain.outputParserStructured","position":[2440,920],"parameters":{"schemaType":"manual","inputSchema":"{n "type": "object",n "properties": {n "company_name": {n "type": "string",n "description": "Official name of the company receiving funding"n },n "funding_round": {n "type": "string",n "description": "Type of funding round (Seed, Series A, B, C, etc.)",n "enum": ["Pre-Seed", "Seed", "Series A", "Series B", "Series C", "Series D", "Series E+", "Growth Equity", "Late Stage", "Venture Round", "Convertible Note", "Debt Financing", "Grant", "Private Equity", "Other"]n },n "funding_amount": {n "type": "object",n "properties": {n "value": {n "type": "number",n "description": "Numerical value of the funding amount"n },n "currency": {n "type": "string",n "description": "Currency of the funding amount",n "default": "USD"n }n }n },n "announcement_date": {n "type": "string",n "format": "date",n "description": "Date when the funding was publicly announced (YYYY-MM-DD)"n },n "lead_investor": {n "type": ["string", "array"],n "description": "Primary investor(s) leading the round. Can be single string or array for multiple leads."n },n "participating_investors": {n "type": "array",n "items": {n "type": "string"n },n "description": "Other firms or angels who participated in the round"n },n "industry": {n "type": "array",n "items": {n "type": "string"n },n "description": "Primary industry categories or verticals"n },n "company_description": {n "type": "string",n "description": "Brief explanation of what the company does"n },n "hq_location": {n "type": "object",n "properties": {n "city": {n "type": "string"n },n "country": {n "type": "string"n }n },n "description": "Company headquarters location"n },n "website_url": {n "type": "string",n "format": "uri",n "description": "Company's official website"n },n "founding_year": {n "type": "integer",n "description": "Year the company was founded"n },n "founder_names": {n "type": "array",n "items": {n "type": "string"n },n "description": "Names of company founders"n },n "ceo_name": {n "type": "string",n "description": "Name of current CEO"n },n "employee_count": {n "type": ["integer", "string"],n "description": "Current number of employees (exact or range)"n },n "total_funding": {n "type": "object",n "properties": {n "value": {n "type": "number"n },n "currency": {n "type": "string",n "default": "USD"n }n },n "description": "Total funding raised to date including this round"n },n "funding_purpose": {n "type": "array",n "items": {n "type": "string"n },n "description": "Stated use of funds (e.g., expansion, R&D, marketing)"n },n "business_model": {n "type": "array",n "items": {n "type": "string",n "enum": ["B2B", "B2C", "B2B2C", "D2C", "Marketplace", "SaaS", "Hardware", "Hybrid", "Other"]n },n "description": "Company's business model categories"n },n "valuation": {n "type": "object",n "properties": {n "pre_money": {n "type": "object",n "properties": {n "value": {n "type": "number"n },n "currency": {n "type": "string",n "default": "USD"n }n }n },n "post_money": {n "type": "object",n "properties": {n "value": {n "type": "number"n },n "currency": {n "type": "string",n "default": "USD"n }n }n }n },n "description": "Company valuation information (if disclosed)"n },n "previous_rounds": {n "type": "array",n "items": {n "type": "object",n "properties": {n "date": {n "type": "string",n "format": "date"n },n "round": {n "type": "string"n },n "amount": {n "type": "object",n "properties": {n "value": {n "type": "number"n },n "currency": {n "type": "string"n }n }n },n "investors": {n "type": "array",n "items": {n "type": "string"n }n }n }n },n "description": "Information about previous funding rounds"n }n }n}"},"typeVersion":1.2},{"id":"fde5dc11-c264-4f82-982b-23398de84888","name":"Sticky Note13","type":"n8n-nodes-base.stickyNote","position":[960,400],"parameters":{"color":4,"content":"## Exectuted as a subworkflown"},"typeVersion":1},{"id":"618170f3-eacd-4c9f-bd0f-1530408ff50d","name":"Prompts","type":"n8n-nodes-base.set","position":[1280,600],"parameters":{"options":{},"assignments":{"assignments":[{"id":"6751c31d-b5d5-4c87-bc36-5b7f5e317062","name":"user_prompt","type":"string","value":"=I need comprehensive information about {{ $json.company_name }} that recently announced a {{ $json.funding_round }} funding round of {{ $json.funding_amount }}. nnPlease research and compile the following: nn## Company Background n- Year founded and founding story n- Founder backgrounds and previous ventures n- Current executive team composition n- Total funding raised to date (including all previous rounds) n- Previous investors before this round nn## Business Analysis n- Detailed description of products/services n- Primary revenue model (subscription, freemium, transaction fees, etc.) n- Target customer segments n- Current estimated customer/user count n- Estimated annual revenue (if available) nn## Market Position n- Primary competitors in their space n- Unique selling proposition/competitive advantage n- Recent partnerships or major client announcements n- Market size and growth rate of their industry n- Their estimated market share Growth Trajectory n- Employee growth rate over past 1-2 years n- Geographic expansion plans n- Recent product launches or roadmap information n- Any stated plans for the funding (expansion, R&D, etc.) nn## Additional Context n- Any recent news about the company beyond funding n- Relevant industry trends affecting their business n- Notable advisors or board members n- Any regulatory considerations for their marketn"},{"id":"362a60c8-8c48-44c6-819e-217d361a4c4d","name":"system_prompt","type":"string","value":"=You are a company research assistant.nPlease include sources for all information gathered so I can verify and explore further."}]}},"typeVersion":3.4},{"id":"170f4ffb-ebeb-4277-8d72-b5bd553b5a3e","name":"Deep 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