Automated Funding Round Intelligence from TechCrunch & VentureBeat
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Automate the extraction of critical funding round data from leading tech publications. This workflow leverages AI to identify company details, funding amounts, investors, and more, providing real-time sales intelligence.
About This Workflow
This n8n workflow revolutionizes how sales and investment professionals gather intelligence on funding rounds. It intelligently scrapes TechCrunch and VentureBeat, parsing article content to extract structured data on company funding. Utilizing AI models, it identifies key information such as company name, funding round type and amount, lead and participating investors, market sector, and even the press release URL. The workflow then uses a dedicated AI model to research the company's website and extracts precise data using a structured output parser. This ensures a comprehensive and accurate dataset, ready for immediate use in your CRM or sales enablement tools, saving hours of manual research.
Key Features
- Automated Data Extraction: Scrapes and parses articles from TechCrunch and VentureBeat automatically.
- AI-Powered Intelligence: Leverages AI to identify and extract detailed funding round information.
- Structured Data Output: Provides clean, organized data ready for analysis and CRM integration.
- Company Website Research: Automatically finds and processes company websites for additional context.
- Customizable Extraction: Easily define the specific data points you need to extract.
How To Use
- Trigger: Initiate the workflow manually with the 'Test workflow' button.
- Fetch Sitemaps: The 'Venturebeat (VB)' and 'Techcrunch (TC)' nodes download the respective news sitemaps.
- Split URLs: 'Split VB Articles' and 'Split TC Articles' break down the sitemaps into individual article URLs.
- Filter Relevant Articles: The 'Filter' nodes (using
urlset.url['news:news']['news:title']and={{ $json.loc }}) help filter out irrelevant articles, though these filters may need refinement based on actual sitemap structures. - Parse Article Content: 'VB HTML Parser' and 'TC HTML Parser' extract article text and titles using specific CSS selectors.
- Merge Extracted Data: The 'Merge Extracted Data' node consolidates information from both sources.
- Extract Structured Data: 'Extract Structured Data' utilizes AI to pull out key details like company name, funding amount, and investors from the article text.
- Research Company URL: 'Research URL' attempts to find the company's website using its name.
- Extract URL: 'Extract URL' refines the extracted website URL.
- Perplexity: (Potentially for further AI processing or data enrichment, as indicated by the node's presence).
- Structured Output Parser: 'Structured Output Parser' formats the final output, ensuring it conforms to a predefined schema (e.g., extracting the
website_url).
Apps Used
Workflow JSON
{
"id": "889e8182-7118-4ae9-934f-f22abb2b82fb",
"name": "Automated Funding Round Intelligence from TechCrunch & VentureBeat",
"nodes": 18,
"category": "Sales",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 889e8182-7118...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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