Automation
Twitter/X Scrapping Bot
An automated data-extraction service built for scale.
The Challenge
A client needed reliable, automated extraction of data from Twitter/X without manual work or fragile scripts.
What We Built
A scraping service built on Selenium Grid, Docker, and FastAPI, with async scraping, rotating proxies and cookies, and a modular architecture behind robust API endpoints.
- Selenium Grid cluster for running scraping jobs in parallel at scale
- Async scraping architecture for high-throughput data extraction
- Rotating proxies and cookies to keep long-running jobs stable
- Dockerized deployment for easy scaling and portability
- FastAPI-based endpoints for triggering jobs and retrieving results programmatically
- Modular design so new data sources or fields can be added without a rewrite
Where It Stands
Delivered in one week and built to scale, a clean example of the process automation work we do.
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SeleniumDockerFastAPIPython
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This is a backend API service with no public interface, it runs behind the scenes for our client's own use.