Web Scraping & Data Collection Pipelines

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About this service

Summary

I build automated web scraping and data collection pipelines that extract, clean, and deliver accurate data from APIs, HTML, and XML sources. Each project is engineered for reliability, transparency, and scalability — giving your team clean, ready-to-use datasets for analytics, AI, or business insights.

FAQs

  • Can you scrape dynamic or JavaScript-based websites?

    Yes I use Selenium or Playwright legally when needed, though I prefer APIs or static HTML for performance and reliability.

  • Can you integrate directly with my warehouse or dashboard?

    Absolutely. I can connect to Snowflake, BigQuery, or PostgreSQL so your analytics refresh automatically.

  • Do you follow site terms of service?

    Always. I only collect publicly available or API-accessible data in compliance with site policies.

What's included

  • Custom Web Scraper or Data Collector

    A Python-based scraper or API integration designed to extract and normalize data from your target sources (websites, APIs, XML feeds).

  • Clean Structured Dataset (CSV, JSON, or Database Upload)

    Fully formatted and validated dataset ready for analysis or integration into your existing system.

  • Automated Pipeline Setup

    Scheduling and automation using Dagster, Airflow, or Cron so data refreshes happen automatically.

  • Cloud or Database Integration

    Data delivery configured for your preferred destination AWS S3, Snowflake, BigQuery, PostgreSQL, etc.

  • Documentation & Handoff Guide

    Step-by-step instructions, schema details, and code explanations for smooth future maintenance.

  • Quality & Accuracy Validation Report

    A brief summary showing test runs, data sample checks, and validation logs for transparency.


Skills and tools

Automation Engineer

Data Engineer

AI Developer

Apache Airflow

Apache Airflow

BeautifulSoup

BeautifulSoup

lxml

lxml

Python

Python

Selenium

Selenium

Industries

Analytics
Artificial Intelligence
Data