Data pipelines / Scraping
More than 2 million vehicle records scraped and parsed into PostgreSQL in a couple of days
Large-scale vehicle data
2M+ record data pipeline architecture
Inbound leadmessage
Intent analysisclassify
Qualificationrules + context
CRM stageupdate
Human approvalwhen needed
This architecture moves information through connected system steps. Oxblood connectors indicate the primary route. Human approval remains available where needed.
The problem
A large dataset needed to be collected, parsed into a consistent structure, and stored reliably.
The system
A Python pipeline collected data at scale, parsed records, and stored the results in PostgreSQL.
The result
More than 2 million records were scraped and parsed into PostgreSQL in a couple of days.
TECHNOLOGIES
Python · PostgreSQL · Scraping · Data pipelines
“Ahsan was able to quickly scrape and parse 2+mil records from a website in a couple days”Upwork client