Copilot Extraction Automation streamlines business data research by sending company details to Microsoft Copilot automatically and extracting the industry and profile from the response. It removes manual work and enables fast, accurate, large-scale data enrichment directly into Excel.

Copilot Extraction Automation is a Python-based tool designed to simplify and speed up the extraction of business insights from Microsoft Copilot. Instead of manually researching each company, the script automatically sends prompts with a company name and website, retrieves Copilot’s response, and extracts the industry classification along with a short company profile. This automation eliminates repetitive work, reduces human error, and enables fast, large-scale data enrichment directly into Excel—making it ideal for analysts, researchers, lead-gen teams, and anyone working with bulk company information.
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A Python tool that decodes Cloudflare-protected email addresses stored in Excel files. It reads encoded values from the encoded_email column, applies XOR decoding, removes invalid characters, and saves a new sheet with a decoded_email column. Useful for restoring hidden emails for reporting and data processing.

Key Features

✔ Decodes Cloudflare-protected email addresses using XOR-based reverse encoding ✔ Works on Excel sheets automatically by reading the encoded_email column ✔ Generates a new decoded_email column with restored email values ✔ Removes unprintable / invalid characters to ensure Excel compatibility ✔ Supports real-world datasets for data processing, analytics, reporting, and CRM imports

🔧 How It Works

Reads the input Excel file using pandas

Extracts hex-encoded email strings from the encoded_email column

Applies Cloudflare XOR decoding logic

Cleans output to remove non-printable characters

Exports a new Excel file with decoded results

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