data scrapping
Budget: $10 – $30 AUD
Data Scraping Specialist Needed for EstimateOne.
Awarded Projects Extraction
Overview
I run a painting company based in Victoria, Australia, and most of our work comes from awarded construction projects listed on EstimateOne.com
I’m looking for a reliable data-scraping specialist who can log into my EstimateOne account (credentials provided) and extract all relevant project and builder contact details from the Awarded Projects section.
This is not a development role.
I don’t need a custom scraper built. I just need someone who can collect the data, automate the process on their end, or use their own tools to gather everything and deliver it cleanly.
✓ Scope of Work
After logging into my EstimateOne account, I need you to pull the following details for each awarded project: (video demonstration attached)
Builder company name
Contact person / project manager
Phone number
Project name
Project address
Date awarded
Estimated project cost
Any other contact details shown
If the project includes PDF documents, download them and extract the relevant fields
Deliverables
1. A complete dataset in both CSV and Excel (.xlsx) formats
2. Clearly organized columns for every data field
3. Clean and correct phone numbers
4. No duplicate entries
- Tools & Method
You’re free to use whatever method works best for you, including:
Browser-based scraping tools
Your own automation or scripts
Nothing will run on my computer. everything should be handled on your end.
Awarded Projects Extraction
Overview
I run a painting company based in Victoria, Australia, and most of our work comes from awarded construction projects listed on EstimateOne.com
I’m looking for a reliable data-scraping specialist who can log into my EstimateOne account (credentials provided) and extract all relevant project and builder contact details from the Awarded Projects section.
This is not a development role.
I don’t need a custom scraper built. I just need someone who can collect the data, automate the process on their end, or use their own tools to gather everything and deliver it cleanly.
✓ Scope of Work
After logging into my EstimateOne account, I need you to pull the following details for each awarded project: (video demonstration attached)
Builder company name
Contact person / project manager
Phone number
Project name
Project address
Date awarded
Estimated project cost
Any other contact details shown
If the project includes PDF documents, download them and extract the relevant fields
Deliverables
1. A complete dataset in both CSV and Excel (.xlsx) formats
2. Clearly organized columns for every data field
3. Clean and correct phone numbers
4. No duplicate entries
- Tools & Method
You’re free to use whatever method works best for you, including:
Browser-based scraping tools
Your own automation or scripts
Nothing will run on my computer. everything should be handled on your end.
Related categories:
PHP
Python
Data Entry
Excel
Web Scraping
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Software Architecture
Node.js
Data Extraction
Selenium