You will get accurate PDF, image, or website data in Excel or CSV
Project details
Turn PDFs, scanned images, spreadsheets, or authorized web pages into a clean Excel or CSV dataset. I will extract the fields you specify, normalize dates and numbers, remove obvious duplicates, and flag uncertain records instead of silently guessing. Every package includes a structured output and a clear completion note. Larger tiers add validation, an audit summary, and reusable automation where appropriate. I work read-only on authorized sources and do not retain credentials or client data beyond delivery.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$30
|
Standard
$90
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 3 days |
Number of Pages Mined/Scraped | 20 | 100 | 300 |
Number of Sources Mined/Scraped | 1 | 3 | 5 |
Number of Revisions | 1 | 2 | 2 |
Frequently asked questions
About Bin
Data Extraction & Automation Specialist
Guiyang, China - 8:06 am local time
My focus is on data extraction, document processing, and workflow automation, including:
• PDF and scanned document data extraction
• OCR and image-to-text processing
• PDF / image to Excel or CSV conversion
• Data cleaning and formatting
• Web scraping and structured data collection
• Python-based automation for repetitive tasks
I have an engineering background in Electronic Information Engineering and Microelectronics Science and Engineering. I enjoy solving repetitive, time-consuming data tasks with practical automation rather than unnecessary complexity.
If you have a large number of PDFs, images, spreadsheets, or repetitive data-processing tasks, I can help turn them into a clear and efficient workflow.
Steps for completing your project
After purchasing the project, send requirements so Bin can start the project.
Delivery time starts when Bin receives requirements from you.
Bin works on your project following the steps below.
Revisions may occur after the delivery date.
Review sources and output schema
Confirm the input files or authorized URLs, required fields, output format, and access or privacy limits.
Extract and validate the data
Extract the requested fields, normalize values, remove obvious duplicates, and flag uncertain records for review.