Brief

Fetches external context and data from web URLs to support the creation of AI-generated visual resumes.

What does AI Resume Replicant do?

This template acts as the data ingestion engine for the resume bot. It visits a target URL (such as a professional portfolio, LinkedIn profile, or personal website) provided by the user to extract raw career data and context.

By scraping this external data, it provides the "raw material" that Google Gemini uses to populate the resume blueprint, ensuring the generated image contains accurate professional details without requiring manual data entry.

What data can you scrape from Web Pages ?

Platform: Universal (Portfolios, LinkedIn, Personal Sites)

Data Points:

Page Body Text (Career history, skills, bio)
Page Layout Structure (HTML/CSS context)
Images (Profile photos or design elements)
Metadata (Page title, descriptions)

How to use AI Resume Replicant ?

Run via n8n: This template is triggered automatically by the "Generate visual resumes from Telegram" workflow when a user shares a link.
Provide Input: Map the URL from the Telegram message to the template's input field.
Output: The template returns the text and structure of the webpage.
Next Steps: The data is passed to Google Gemini to draft the resume blueprint and select a matching design.

Why scrape Web Pages for Resumes ?

Automated Data Entry: meaningful resume content is extracted directly from existing online profiles.
Context Awareness: Helps the AI understand the candidate's industry and seniority level from their current online presence.
Design Matching: Can be used to analyze a reference URL to replicate a specific visual style or layout.

This template is a dependency for the n8n workflow: Generate visual resumes from Telegram inputs using Google Gemini. It connects the chat interface to the web, allowing the AI to "see" and read external sources.

30-50credits per task (estimated)