I will build an automated data pipeline with python scrapers, etl and database
Python web scraping, data pipelines and AI automation
Level 2
Has met high performance criteria and has a proven track record for meeting client expectations.
About this Gig
Scripts that break every week cost more than they save. I build production data pipelines that collect, clean and deliver your data on schedule, and keep running.
What I build:
- Scheduled scrapers and API collectors for any number of sources
- ETL: cleaning, deduplication, validation and AI enrichment
- Loading into PostgreSQL, MySQL, Google Sheets or your API
- Monitoring and alerts, so you know when something fails
- Deployment on your server or cloud (AWS, GCP, DigitalOcean) with Docker
Proven at scale:
- A pipeline extracting 1M+ property records every week
- A system collecting building permits from 100+ US jurisdictions and 13 portal types
- A real estate CRM with live data from 5 sources across 30+ counties
You get clean source code and documentation. Message me with your sources and destination, and I will propose an architecture and a fixed price.
Destination Platform:
PostgreSQL
•
MySQL
•
Amazon S3
Tools & Platforms:
Other
My Portfolio
FAQ
Which sources can you connect?
Websites (with scrapers), REST and GraphQL APIs, CSV or Excel files, Google Sheets and SQL databases.
Where will the pipeline run?
On your server or cloud (AWS, GCP, DigitalOcean) with Docker, or on a low-cost server I set up for you.
What happens if a source changes or a run fails?
You get an alert. Each source runs as its own module, so one failure does not stop the others. Fixes within 30 days of delivery are free.
What do you need from me to start?
The list of sources, the destination, the schedule and the fields you need.

