According to LinkedIn’s Talent Solutions report, 94% of recruiters use LinkedIn to source candidates, making it the leading platform for talent acquisition.
In contrast, 67% of hiring professionals report that manual processes slow down recruitment efforts, as highlighted in the Jobvite Recruiter Nation Report. Manual data entry reduces efficiency and increases the risk of errors during profile migration and candidate onboarding.
This case study explores how Robotic Process Automation (RPA) was implemented to streamline LinkedIn profile data migration into a local recruitment portal, significantly improving speed, accuracy, and overall process efficiency.
A mid-sized recruitment agency based in the United States, specialising in sourcing top-tier candidates for the technology and finance sectors. With a growing portfolio of enterprise clients, the agency leverages LinkedIn Recruiter extensively to discover and engage with potential candidates. Their internal recruitment portal is key in organising candidate data, managing workflows, and tracking hiring activities.
As the client’s recruitment operations expanded, they encountered several process-level challenges that impacted efficiency and accuracy. These challenges primarily stemmed from repetitive manual tasks and the growing volume of candidate data that needed to be managed across platforms. Below are four key challenges that were limiting their recruitment workflow.
Due to human intervention, inconsistencies such as missing contact details, misaligned work histories, and incomplete academic records were frequent.
Recruiters had to manually copy-paste candidate details from LinkedIn profiles into the company’s internal portal, a time-consuming and error-prone task.
As the number of candidates increased, the manual process could not scale effectively without hiring more data-entry staff.
No efficient mechanism existed to track which profiles had been migrated, leading to duplication or oversight.
Following the operational challenges faced by the recruitment team, it became essential to find a more efficient way to handle candidate data. The objective was to reduce repetitive manual work, minimize errors, and improve the overall speed of processing LinkedIn profiles. The team needed a solution that could automate the migration of profile data into their internal recruitment portal while maintaining accuracy and ease of use.
To meet this objective, an RPA-based automation was developed using UiPath. The bot was designed to perform recruiter-like actions such as logging into LinkedIn, navigating candidate folders, and extracting important details, including contact information, education, experience, and resume files. It then transfers this data into the internal portal, following structured mapping and validation steps. The bot also maintains a complete activity log to ensure transparency and traceability.
The automation was carefully structured into six streamlined steps, each designed to replicate the recruiter’s actions with greater speed, precision, and consistency. From secure login to final data migration and logging, the process ensures a smooth flow of candidate information from LinkedIn to the internal portal while minimising manual effort and reducing the risk of error.
Bot logs into LinkedIn securely using pre-configuredrecruiter credentials.
Bot navigates candidate folders, opens each LinkedIn profile for processing.
Extracts name, contact, education, experience, and downloads resume if available.
Extracts name, contact, education, experience, and downloads the resume if available.
Inputs structured candidate data into the client’slocal recruitment portal.
Logs each migration attempt with success, failure,and error message details
The RPA solution exceeded expectations. It was built with a deep understanding of our use case and delivered real value from day one. The bot runs smoothly, integrates perfectly with our system, and has drastically cut down on manual entry
The RPA solution built on UiPath completely transformed how we manage candidate data. We’ve significantly reduced errors and improved our response times to hiring managers.
Automating our LinkedIn data migration was one of the smartest moves we made this year. The bot works save us hours each week and eliminating human error. It’s streamlined our workflow and made our recruiting process far more efficient
We've helped countless companies automate tasks and save hours every day, yours could be next.
© Copyright 2025 | Teknosense | Privacy Policy
