Building a Meta Ad Library Scraper: How Non-Technical Users Can Create Powerful Tools

A creative solution for analyzing Meta’s advertising content has emerged in the form of a custom-built scraper that demonstrates how even those without deep technical backgrounds can create sophisticated data analysis tools.

The scraper utilizes an existing script to access the Meta Ad Library and automatically downloads all video content to an Amazon S3 bucket for processing. What makes this tool particularly powerful is its integration with Gemini AI for comprehensive content analysis.

Once videos are collected, the system extracts transcripts and stores them in a spreadsheet for easy reference. Going beyond simple text extraction, the tool also leverages Gemini to perform visual analysis, providing detailed descriptions of what occurs in the beginning, middle, and final portions of each video.

What’s most remarkable about this project is that it was developed using A8N by someone who identifies as a non-technical user. Rather than coding from scratch, the creator adapted an existing template and customized it to meet specific needs.

This approach highlights an important trend in today’s technology landscape—the growing ability of non-developers to “bash things together and get them to work.” By combining available tools, templates, and services, individuals without traditional programming backgrounds can now create sophisticated automation solutions that would have required significant technical expertise just a few years ago.

As low-code and no-code platforms continue to evolve, we can expect to see more powerful tools emerging from unexpected sources, democratizing access to data and analysis capabilities previously reserved for specialized teams.