Projects
Network Navigator
In this project, the client's primary goal is to obtain LinkedIn profile details using the inputs (Full Name, Company) provided.
Challenge: There was a delay in the entire extraction process.
Solution: We separated the inputs that already included the LinkedIn URL and used them for profile extraction at the script level.
Challenge: The main difficulty was manually searching for the full name and company name to find the desired profile URL.
Solution: We assigned the BAU team to work 24/7 to obtain the required information.
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Challenge: The BAU team did not achieve the desired numbers.
Solution: To address this, the BAU team was aligned to use Microsoft Outlook's LinkedIn service to acquire the profile URL. The data was successfully delivered, and the project concluded on a positive note.
Twitter Sports Insights
The main aim of the client was to extract the data from the particular locations.
Challenge: The barrier here is location wise search option which the platform doesn't provide.
Solution: Our developers set up a search query to extract the data of particular location.
Coordination Steps: Aligned the client for both the methodologies. One full extraction with no geolocation filter and another was filter with geolocation which contains lesser data than the other one.
Social Media Dashboard
The client want us to develop a dashboard that would display live integration of extracted data.
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Coordination: We worked closely with the dashboard team to improve the dashboard’s functionality.
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Challenges: The client wanted uniform headers across all social media platforms and also requested sentiment analysis for the comments on each social media post.
Solution: To address the sentiment analysis, we implemented AI-generated scripts. Regarding the headers, I collaborated with the client to clarify that each platform has different metrics for likes, shares, followers, and engagement.
Ai Palatte
The Organization wanted to extract the Instagram Posts from the keywords.
Challenge: Instagram doesn't allow to scrape entirely and client came up with the expected post for each keywords.
Solution: To tackle this we align client that source platform restrict to catch the complete data. We assured client to deliver the best possible coverage.
Kids wear chronicles
This client particularly came up with like limit and wanted us to extract the Insta post from given keywords on daily basis.
Challenge: Instagram doesn't provide filters such as recent or latest. This was the main barrier to deliver the unique data daily.Solution: We set up a scheduler that crawls the data at specific time and that helps us to deliver the unique data.
Client was impressed with the efforts and awarded a new Once off project.
Proc DNA
Client wanted us to scrape profile data from LinkedIn and Deliver the data every week. This updated data must contains unique post likes comments and share.
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Challenges: Client often ask us to deliver data on unusual days as they have to showcase the data to their clients.
Solution: We coordinated with technical team to automate the script which allows us to scrape data whenever required. Also Client gave us buffer time to make decision on crawling time.
