This n8n workflow automates the process of generating high-quality finance leads from LinkedIn, streamlining data scraping, analysis, filtering, and storage. It begins with a manual trigger to initiate the workflow, where it retrieves predefined LinkedIn search URLs and other configurations, then uses Apify’s API to scrape relevant finance job postings, including company details.
The scraped data is split into individual job entries, with duplicates removed based on company name. Each job is cleaned and formatted to ensure consistent data structure. The workflow next retrieves existing leads from Airtable to prevent duplication and categorizes new leads using AI-powered analysis via OpenAI’s GPT-4, which assesses company type, role relevance, seniority level, and summarizes the job post.
Leads are then routed into different categories: new leads needing further enrichment, incomplete leads, or existing complete leads. Filtering is applied based on company size to target relevant prospects, and leads are processed in batches for efficiency. Qualified leads are then stored or updated in Airtable, making this workflow highly useful for finance firms or recruiting agencies seeking to automate lead generation and qualification.
This automated process saves time, reduces manual effort, and improves lead quality, making it ideal for targeted marketing, client outreach, and business development in the financial sector.
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