Nationwide Contact Information Data Collection
Budget: $30 – $250 USD
I'm seeking a freelancer to collect contact information (emails, phone numbers) from various sources across all industries.
Main tasks:
- Collect contact information from diverse sectors: Technology, Healthcare, Retail, and beyond.
- Identify potential sources for this information, as the main source is currently unknown.
Ideal candidate skills:
- Proficient in online research
- Experience in data collection and data entry
- Ability to work independently and proactively identify sources
- Attention to detail
If the first job is completed satisfactorily, this could turn into a long-term position where you would be collecting data for the entire United States. The initial job pays $50.
Proposal for Data Scraping Project: Comprehensive Business and Property Management Information
Project Overview
We are looking for a skilled data scraping professional to gather exhaustive information on businesses, stores, and property management companies located between Fresno, California, and Modesto, California. The goal of this project is to compile a vast and detailed database that includes every possible entity operating within this geographical area.
Geographic Scope
The data collection should encompass the following major cities and their surrounding regions:
Fresno, CA
Clovis, CA
Madera, CA
Chowchilla, CA
Merced, CA
Turlock, CA
Modesto, CA
Data Requirements
For each business, store, or property management company, we require the following details:
Business Name
Type of Business (e.g., retail, property management, services)
Physical Address
City
Zip Code
Contact Information (phone number and email address)
Website URL (if available)
Business Hours (if available)
Any additional relevant data that may assist in evaluating the business or property management company.
Data Volume
Please note that there is no limit on the amount of data to be collected. We are interested in capturing information for every store and business you can find within the specified regions. The more comprehensive the dataset, the better.
Data Sources
The data scraper should utilize all available and reliable sources, including but not limited to:
Online business directories
Property management listings
Company websites
Publicly accessible databases
If there are specific databases, tools, or platforms that can enhance the data collection process, please include these in your proposal.
Deliverables
The final deliverable should be an organized and clean dataset in CSV or Excel format, containing the comprehensive information as outlined above. The data should be well-structured to facilitate easy analysis and potential future use.
Timeline
Please provide an estimated timeline for the completion of the project, including milestones or checkpoints if applicable.
Budget
We are open to discussing the project’s budget based on your proposal. Please include your estimated costs, considering the extensive scope of work.
Additional Notes
Ensure compliance with any legal and ethical guidelines related to data scraping.
If you have any suggestions or recommendations to improve the data collection process, we welcome your input.
We are excited about the possibility of working together on this extensive project and look forward to your proposal.
Main tasks:
- Collect contact information from diverse sectors: Technology, Healthcare, Retail, and beyond.
- Identify potential sources for this information, as the main source is currently unknown.
Ideal candidate skills:
- Proficient in online research
- Experience in data collection and data entry
- Ability to work independently and proactively identify sources
- Attention to detail
If the first job is completed satisfactorily, this could turn into a long-term position where you would be collecting data for the entire United States. The initial job pays $50.
Proposal for Data Scraping Project: Comprehensive Business and Property Management Information
Project Overview
We are looking for a skilled data scraping professional to gather exhaustive information on businesses, stores, and property management companies located between Fresno, California, and Modesto, California. The goal of this project is to compile a vast and detailed database that includes every possible entity operating within this geographical area.
Geographic Scope
The data collection should encompass the following major cities and their surrounding regions:
Fresno, CA
Clovis, CA
Madera, CA
Chowchilla, CA
Merced, CA
Turlock, CA
Modesto, CA
Data Requirements
For each business, store, or property management company, we require the following details:
Business Name
Type of Business (e.g., retail, property management, services)
Physical Address
City
Zip Code
Contact Information (phone number and email address)
Website URL (if available)
Business Hours (if available)
Any additional relevant data that may assist in evaluating the business or property management company.
Data Volume
Please note that there is no limit on the amount of data to be collected. We are interested in capturing information for every store and business you can find within the specified regions. The more comprehensive the dataset, the better.
Data Sources
The data scraper should utilize all available and reliable sources, including but not limited to:
Online business directories
Property management listings
Company websites
Publicly accessible databases
If there are specific databases, tools, or platforms that can enhance the data collection process, please include these in your proposal.
Deliverables
The final deliverable should be an organized and clean dataset in CSV or Excel format, containing the comprehensive information as outlined above. The data should be well-structured to facilitate easy analysis and potential future use.
Timeline
Please provide an estimated timeline for the completion of the project, including milestones or checkpoints if applicable.
Budget
We are open to discussing the project’s budget based on your proposal. Please include your estimated costs, considering the extensive scope of work.
Additional Notes
Ensure compliance with any legal and ethical guidelines related to data scraping.
If you have any suggestions or recommendations to improve the data collection process, we welcome your input.
We are excited about the possibility of working together on this extensive project and look forward to your proposal.