
Development of a User-Friendly LinkedIn Profile Scraping Tool
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£330(approx. $443)
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Description
Experience Level: Expert
I am seeking an experienced developer to create a simple, yet powerful tool designed for a non-technical user to scrape LinkedIn profiles from specified companies. This tool will serve as a cornerstone for a series of data aggregation and analysis tools we plan to develop.
The primary objective is to collect specific data points from LinkedIn profiles, including job title, location, years of experience in role, previous roles, and bios, with output in CSV format for future processing.
Objective:
To develop a LinkedIn scraping tool that allows input of a company name as it appears on LinkedIn and outputs a CSV file containing detailed profile information of the company’s employees. This tool must be simple to operate, requiring minimal user input to function.
Technical Requirements:
• A straightforward UI where a user can input a company name to scrape profiles from LinkedIn.
• The tool must collect the following data: Job title, Location, Years of experience in role, Previous roles, Bios, and any other easily accessible information.
• Output data must be in CSV format, ready for use in future tools.
• The application should integrate with LinkedIn APIs, acknowledging the necessity of managing API subscription costs.
• We have a subscription to scraper.ai, which we prefer to integrate into this project if helpful / necessary and feasible.
• The tool must be robust and designed with future-proofing in mind to accommodate potential changes in LinkedIn’s platform or API.
Legal and Ethical Considerations:
The developer must ensure the tool complies with LinkedIn’s Terms of Service and relevant data protection regulations. We prioritize ethical data practices and require a solution that respects user privacy and data use regulations.
Ownership and Subscription Management:
Our company needs to retain full ownership of the developed tool and any associated code. If additional subscriptions are necessary, we prefer to manage these directly to ensure ongoing access and control.
Future Considerations:
The output CSV will be utilized as input for subsequent tools, indicating a need for clean, well-structured data and potential scalability of the tool for future developments.
About you:
• Extensive experience with web scraping projects, specifically with LinkedIn or similar platforms.
• Proven track record of developing user-friendly applications for non-technical users.
• Knowledge of legal and ethical considerations in data scraping.
• Experience in integrating third-party services like scraper.ai is highly desirable.
Please submit your proposal including:
• A brief overview of your approach to the project.
• Examples of similar projects you have completed.
• How you will address compliance with legal and ethical standards.
• Your estimated timeline and total cost for the project.
We are eager to find a developer who can deliver a high-quality, user-friendly tool. We look forward to reviewing your proposals and moving forward with this exciting project.
The primary objective is to collect specific data points from LinkedIn profiles, including job title, location, years of experience in role, previous roles, and bios, with output in CSV format for future processing.
Objective:
To develop a LinkedIn scraping tool that allows input of a company name as it appears on LinkedIn and outputs a CSV file containing detailed profile information of the company’s employees. This tool must be simple to operate, requiring minimal user input to function.
Technical Requirements:
• A straightforward UI where a user can input a company name to scrape profiles from LinkedIn.
• The tool must collect the following data: Job title, Location, Years of experience in role, Previous roles, Bios, and any other easily accessible information.
• Output data must be in CSV format, ready for use in future tools.
• The application should integrate with LinkedIn APIs, acknowledging the necessity of managing API subscription costs.
• We have a subscription to scraper.ai, which we prefer to integrate into this project if helpful / necessary and feasible.
• The tool must be robust and designed with future-proofing in mind to accommodate potential changes in LinkedIn’s platform or API.
Legal and Ethical Considerations:
The developer must ensure the tool complies with LinkedIn’s Terms of Service and relevant data protection regulations. We prioritize ethical data practices and require a solution that respects user privacy and data use regulations.
Ownership and Subscription Management:
Our company needs to retain full ownership of the developed tool and any associated code. If additional subscriptions are necessary, we prefer to manage these directly to ensure ongoing access and control.
Future Considerations:
The output CSV will be utilized as input for subsequent tools, indicating a need for clean, well-structured data and potential scalability of the tool for future developments.
About you:
• Extensive experience with web scraping projects, specifically with LinkedIn or similar platforms.
• Proven track record of developing user-friendly applications for non-technical users.
• Knowledge of legal and ethical considerations in data scraping.
• Experience in integrating third-party services like scraper.ai is highly desirable.
Please submit your proposal including:
• A brief overview of your approach to the project.
• Examples of similar projects you have completed.
• How you will address compliance with legal and ethical standards.
• Your estimated timeline and total cost for the project.
We are eager to find a developer who can deliver a high-quality, user-friendly tool. We look forward to reviewing your proposals and moving forward with this exciting project.
Tom H.
100% (103)Projects Completed
77
Freelancers worked with
76
Projects awarded
74%
Last project
7 Oct 2024
Canada
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