You will get clean website data extracted into CSV, Excel, or JSON

Project details
I will extract data from a public or client-authorized website and deliver it in a clean CSV, Excel, JSON, or SQLite format.
This service is best for clients who need structured data from public listings, directories, tables, archives, article pages, product pages, or other accessible web pages.
I focus on clean delivery, clear formatting, reproducible Python-based workflows, and basic validation so you can trust the final dataset. Depending on your package, I can also include the reusable Python script, README instructions, and validation notes.
Before starting, I confirm the source URL, required fields, output format, approximate page or record count, and whether the source is public or client-authorized. I do not provide CAPTCHA bypass, paywall bypass, login circumvention, or prohibited data collection.
This service is best for clients who need structured data from public listings, directories, tables, archives, article pages, product pages, or other accessible web pages.
I focus on clean delivery, clear formatting, reproducible Python-based workflows, and basic validation so you can trust the final dataset. Depending on your package, I can also include the reusable Python script, README instructions, and validation notes.
Before starting, I confirm the source URL, required fields, output format, approximate page or record count, and whether the source is public or client-authorized. I do not provide CAPTCHA bypass, paywall bypass, login circumvention, or prohibited data collection.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$95
|
Standard
$195
|
Advanced
$350
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Pages Mined/Scraped | 5 | 25 | 50 |
Number of Sources Mined/Scraped | 1 | 1 | 2 |
Number of Revisions | 1 | 1 | 2 |
Optional add-ons
You can add these on the next page.
Additional Page Mined/Scraped
(+ 1 Day)
+$10
Additional Source Mined/Scraped
(+ 2 Days)
+$100
Additional Revision
+$25Frequently asked questions
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CM
Christian M.
Sep 20, 2023
Python automation tasks
About Jason
Python Data Extraction Specialist | CSV, Excel, Web Automation
Malden, United States - 6:58 pm local time
My focus is simple. I extract the data you need, organize it clearly, validate the results, and deliver files that are easy to use.
Here are the things I can help you with:
- Public website data extraction
- Directory and listing extraction
- CSV and Excel cleanup
- JSON/CSV/Excel data formatting
- Basic API data extraction
- YouTube metadata and transcript organization
- Repetitive data collection workflows
- Python automation scripts for repeatable extraction tasks
Typical deliverables include the following:
- Clean CSV, Excel, JSON, or SQLite output
- Reproducible Python scripts
- Setup and usage instructions
- Sample output before full extraction
- Validation notes, including record counts, missing fields, and failed URLs
- Packaged project files ready for handoff
The tools I work with include Python, requests, Beautiful Soup, pandas, openpyxl, JSON, CSV, yt-dlp, Playwright when needed, and AI-assisted coding workflows using ChatGPT/Codex.
I work best on projects with clear sources, clear fields, and clear output requirements. I focus on public or client-authorized data sources and avoid work involving CAPTCHA bypass, paywall bypass, login circumvention, or prohibited data collection.
If you need a clean dataset, a repeatable extraction script, or help turning messy online information into structured files, then I can help you get it organized and delivered.
Steps for completing your project
After purchasing the project, send requirements so Jason can start the project.
Delivery time starts when Jason receives requirements from you.
Jason works on your project following the steps below.
Revisions may occur after the delivery date.
Review requirements and confirm scope
I review the source URL, required fields, output format, page or record count, and data-source authorization.
Confirm output structure
I confirm the expected output structure and, when appropriate, prepare a small sample before the full extraction.

