Web Scraping & Data Collection PipelinesDrake Damon
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.
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.
FAQs
Yes I use Selenium or Playwright legally when needed, though I prefer APIs or static HTML for performance and reliability.
Absolutely. I can connect to Snowflake, BigQuery, or PostgreSQL so your analytics refresh automatically.
Always. I only collect publicly available or API-accessible data in compliance with site policies.
Contact for pricing
Tags
Apache Airflow
BeautifulSoup
lxml
Python
Selenium
AI Developer
Automation Engineer
Data Engineer
Service provided by
Drake Damon Tampa, USA
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- Followers
Web Scraping & Data Collection PipelinesDrake Damon
Contact for pricing
Tags
Apache Airflow
BeautifulSoup
lxml
Python
Selenium
AI Developer
Automation Engineer
Data Engineer
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.
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.
FAQs
Yes I use Selenium or Playwright legally when needed, though I prefer APIs or static HTML for performance and reliability.
Absolutely. I can connect to Snowflake, BigQuery, or PostgreSQL so your analytics refresh automatically.
Always. I only collect publicly available or API-accessible data in compliance with site policies.
Contact for pricing