LinkedIn Profile Finder via Form using Bright Data & GPT-4o-mini
This workflow automatically searches Google and extracts LinkedIn profiles based on potential customer forms filled out by users. It utilizes intelligent crawling technology and AI parsing to accurately match and confirm personal information. At the same time, it generates personalized follow-up email suggestions and sends them automatically, enhancing the efficiency of lead generation and customer follow-up, reducing manual operations, and improving the intelligence level of the workflow. It is particularly suitable for scenarios such as sales, recruitment, and marketing.

Workflow Name
LinkedIn Profile Finder via Form using Bright Data & GPT-4o-mini
Key Features and Highlights
This workflow automatically searches and extracts corresponding LinkedIn profiles from Google based on sales lead information submitted through a user form. It combines Bright Data’s web scraping technology with GPT-4o-mini’s intelligent parsing to accurately filter and match individual profiles. Additionally, it generates personalized follow-up email suggestions based on company and individual data, and automatically sends them to designated email addresses, enabling intelligent lead mining and efficient follow-up.
Core Problems Addressed
- Automates the search and verification of potential clients’ LinkedIn profiles, eliminating tedious manual searches.
- Precisely matches names, job titles, and company information to reduce misidentification.
- Generates practical follow-up recommendations based on customer profiles to improve sales conversion efficiency.
- Sends customized emails with one click, saving time and standardizing the sales process.
Application Scenarios
- Sales teams conducting background research and data collection on potential clients.
- Recruiters quickly locating candidates’ LinkedIn profiles.
- Marketing professionals obtaining target customer information for precise marketing campaigns.
- Any business scenario requiring automated extraction of LinkedIn data from public information and generation of communication suggestions.
Main Workflow Steps
- User fills in the full name and company name of the target lead via a form.
- The workflow automatically constructs a Google search URL based on the input and uses Bright Data to scrape the search results.
- Extracts titles and body content from the search result webpages.
- Utilizes the GPT-4o-mini model to parse Google results, extracting LinkedIn URLs and related personal information.
- Filters and confirms LinkedIn profiles that match the input data.
- Performs similar Google scraping and information parsing for the target company.
- Combines company and individual information to generate buyer-role-specific follow-up suggestions and concrete action steps using GPT-4o-mini.
- Sends the generated personalized follow-up content via email to the specified recipient.
- User receives the email confirmation, completing the entire process.
Involved Systems or Services
- Bright Data: Efficiently scrapes Google search results.
- OpenAI GPT-4o-mini: Intelligently parses text to extract structured LinkedIn data and generate follow-up recommendations.
- n8n Form Trigger (formTrigger): Collects user input.
- n8n Email Node (emailSend): Sends automated emails.
- n8n HTML Parsing Node: Extracts webpage content.
- Google Search Results as the data source.
Target Users and Value
- Sales representatives and business development personnel, helping them quickly locate potential clients and formulate effective communication strategies.
- Recruiters and headhunters, enhancing candidate screening efficiency.
- Marketing professionals, supporting precise customer profiling and personalized marketing.
- Any professionals seeking to improve LinkedIn data collection and client follow-up efficiency through automation.
This workflow integrates intelligent scraping and AI parsing technologies, significantly reducing manual search and data organization efforts, and enhancing the intelligence and automation level of sales and recruitment processes.