You will get a Python automation that scrapes, cleans and delivers your data
Project details
If someone on your team spends hours every week downloading files, copying them into a spreadsheet and fixing the formatting, that job can usually be deleted.
I write the Python that collects the data, cleans it and puts it where you actually need it, then puts the whole thing on a schedule so nobody has to remember to run it.
I hold an Oxford DPhil in AI and have spent over 15 years building data pipelines and production systems for large organisations.
What you get:
• Extraction from websites, APIs, PDFs, spreadsheets or databases
• Pagination, rate limits and failures handled properly, not ignored
• Cleaning, deduplication and validation, so the output is usable
• Delivery as CSV, Excel, Google Sheets or straight into your database
• Scheduling with failure alerts on the higher tiers, plus code and a runbook
One thing I will always check first: that the source is actually accessible and permitted to collect from. If a site's terms or a login wall make it a bad idea, I will tell you before you buy rather than take the money and hit the wall later.
I write the Python that collects the data, cleans it and puts it where you actually need it, then puts the whole thing on a schedule so nobody has to remember to run it.
I hold an Oxford DPhil in AI and have spent over 15 years building data pipelines and production systems for large organisations.
What you get:
• Extraction from websites, APIs, PDFs, spreadsheets or databases
• Pagination, rate limits and failures handled properly, not ignored
• Cleaning, deduplication and validation, so the output is usable
• Delivery as CSV, Excel, Google Sheets or straight into your database
• Scheduling with failure alerts on the higher tiers, plus code and a runbook
One thing I will always check first: that the source is actually accessible and permitted to collect from. If a site's terms or a login wall make it a bad idea, I will tell you before you buy rather than take the money and hit the wall later.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$220
|
Standard
$600
|
Advanced
$1,400
|
|---|---|---|---|
| Delivery Time | 4 days | 8 days | 14 days |
Number of Pages Mined/Scraped | 500 | 5000 | 25000 |
Number of Sources Mined/Scraped | 1 | 5 | 15 |
Number of Revisions | 1 | 2 | 3 |
About Jude
Machine Learning Expert | Data Visualization & Automation | Oxford PhD
London, United Kingdom - 8:44 am local time
Steps for completing your project
After purchasing the project, send requirements so Jude can start the project.
Delivery time starts when Jude receives requirements from you.
Jude works on your project following the steps below.
Revisions may occur after the delivery date.
Check the sources and agree the fields
I check each source is actually accessible and legal to collect from, and we agree exactly which fields you need, before any code is written.
Build the extractor and clean the output
I build the extraction in Python, handle pagination, rate limits and failures, then clean, deduplicate and validate the output so it is usable rather than just collected.