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Automation

Twitter/X Scrapping Bot

A scalable web scraping automation service for extracting data from Twitter/X, built on Selenium Grid and FastAPI.

Web Scraping Automation

Extract data. At scale.

Async Scraping at Scale
Selenium Grid Cluster
Rotating Proxies & Cookies
Dockerized Deployment
FastAPI Job Endpoints

The Challenge

A client needed reliable, automated web scraping to extract data from Twitter/X at scale, without manual work or fragile one-off scripts that broke under load.

What We Built

We built this as a web scraping automation service on Selenium Grid, Docker, and FastAPI, with an async scraping architecture, rotating proxies and cookies to keep long-running jobs stable, and a modular design behind robust API endpoints for triggering jobs and retrieving results.

  • 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, it scrapes thousands of tweets per run by spreading jobs across a Selenium Grid in parallel, a clean example of the web scraping and process automation work we do.

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Tech Stack
SeleniumDockerFastAPIPython

Live Preview

This is a backend API service with no public interface, it runs behind the scenes for our client's own use.

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Build story

Building a Web Scraping Service That Scales: Selenium Grid, Docker, and FastAPI

How we built an automated Twitter/X data-extraction service designed for scale, using Selenium Grid, Docker, rotating proxies, and a FastAPI backend.

Read more →
Service

Process Automation

Scripts, integrations, and workflows that remove manual busywork.

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