I will do web scraping into a clean CSV dataset

United States

I speak English

Data cleanup, automation and API integration

I build practical tools that reduce repetitive work and turn data into usable results. My focus is clean CSV files, public website datasets and clearly scoped integration code. You get written scope, ...
About this Gig

Turn matching public website tables into one clean CSV, with a source URL and row number for every record.


Send 1-100 explicit public HTTPS URLs from one origin (same host), the same table number and up to 10 exact column headers. All pages need the same static table layout. Each source table needs at least one data row. This $30 package covers 1,000 total data rows, 2-day delivery and 1 revision.


Receive the CSV, captured source bundle, offline replay script, report, README and AI-use disclosure. Independent checks reconcile every requested page; rows are never silently dropped or invented.


Limits: 2 MB per page, 10 MB total HTML, 20 MB source bundle, 10 MB CSV and 40 MiB package. Robots permission and required waits up to 5 minutes per request are enforced. Blocked, oversized, unsupported or incomplete batches are held for review; no partial delivery.


No login, JavaScript rendering, URL discovery, merged/nested tables or ongoing updates. Source tables must have at most 50 columns. Revisions change selected columns using frozen captures; new URLs, tables or refreshed data need new scope. Work is AI-assisted; no calls or account access. Import CSV columns as text.

Technology:

Python

Information type:

Websites

Technique:

Automated