Extract Developer Skills From LinkedIn Profiles

@mayankinnovative

The primary focus of your LinkedIn research task will be to accurately extract software development skills, endorsement counts, and listed project experience to create a structured, duplicate-free dataset. I will filter profiles based on the provided search criteria and will not collect irrelevant personal fields. Approach: I will establish a data extraction workflow using LinkedIn Recruiter/Sales Navigator or the available authorized access. If necessary, Python-based processing will be used to normalize skill names, validate endorsement counts, clean project descriptions, and remove duplicates. I will submit a sample of the first 10 profiles in CSV/Excel format for review; upon approval, I will process the full dataset. The final sheet will feature clearly labeled columns for Skill, Endorsement Count, and Project Experience, along with consistent formatting. 1. What are the target profile count and search filters? 2. Will you provide access to LinkedIn Recruiter/Sales Navigator? 3. Should multiple skills within a profile be listed in separate rows or in a combined cell? 4. Is the final output required in Excel, CSV, or both?

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@christech1117

You want two fields pulled per LinkedIn profile: Software Development skills with their endorsement counts, and short summaries of any listed project experience, delivered as a deduped CSV or Excel with clearly labeled columns. I'd build a Python pipeline with rotating sessions and anti-bot handling that pulls only those fields, normalizes skill names, drops duplicate profiles, and exports clean, consistently formatted rows. I run scraping and automation pipelines that produce structured output exactly like this, and I'd start with the 10-profile sample so you can confirm the shape before the full pull. One thing that decides the layout: for a profile with many Software Development skills, do you want one row per profile with all skills packed into a single cell, or one row per skill so each endorsement count lines up on its own?

@sanket99799

Hi, I’m Sanket, a lead-generation and online research specialist experienced in collecting, cleaning and structuring LinkedIn profile data into accurate spreadsheets. Your requirement is straightforward, and I can focus specifically on the two requested data points: • Software Development skills with endorsement counts • Brief project experience descriptions I’ll follow your search parameters, review each profile carefully and record the information in a clean CSV/Excel format with clearly labelled columns. My process includes: • Profile-by-profile verification • Consistent skill and endorsement formatting • Accurate project experience summaries based only on listed information • Duplicate checking and data validation • No unnecessary profile fields added • 10-profile sample first for approval before the full dataset I can work with LinkedIn Recruiter/Sales Navigator or suitable research tools where available, while using methods that respect platform and data-use requirements. The goal is a clean, consistent and review-ready dataset with minimal manual cleanup needed on your side. Regards, Sanket

@codeswithzain

Hi, I can help you build a **clean, accurate, and well-structured candidate dataset** based on your LinkedIn search criteria. I have experience with **web research, data collection, Excel, and data cleaning**, and I understand that you only need the specific information requested—not unnecessary profile details. For each profile, I will capture: • Software Development skills • Available endorsement counts • Brief descriptions of listed project experience I will organize everything into a clearly labeled **Excel or CSV file**, with consistent formatting and one record per profile. Before delivery, I’ll cross-check the collected data, remove duplicates, and flag any information that is unavailable or unclear rather than guessing. I’m happy to complete the **10-profile sample first** so you can verify the accuracy and formatting before I proceed with the full dataset. I can start immediately and follow your search parameters carefully. Best regards, Zain

@xiaoven

I have experience extracting LinkedIn profile data with Python, Selenium, BeautifulSoup, and data processing. I can pull skills, endorsement counts, and project descriptions into a clean CSV or Excel, one row per profile, with columns Skill, Endorsement Count, and Project Experience. I will use your search parameters, remove duplicates, and deliver a 10-profile sample first. Ready to start.

@abhilashr53

I can deliver 'Extract Developer Skills From LinkedIn Profiles' end to end — clean architecture, tests, and deployment. I'll start with a short plan, share progress daily, and hand over production-ready code. Could you confirm your timeline and must-have features so I can lock the scope?

@Wonitaf

Hi there, I love digging into data and have a knack for extracting exactly what’s needed. With my experience in data collection and analysis, I’m confident I can deliver a clean, organized spreadsheet with accurate skills and endorsement counts that meet your expectations. I noticed you’re looking for a detail-oriented approach to gather specific data sets from LinkedIn profiles. I’ll ensure everything is formatted seamlessly, with clear columns for Skill, Endorsement Count, and Project Experience, just as you specified. I specialize in research and data extraction, using tools like LinkedIn Recruiter and Python scripts. My commitment to speedy communication and a fast turnaround means you won’t be left waiting. Let me know if you are available for a quick chat! Regards, Wonita

@cheng58

Hello — I can build a clean Excel or CSV from the LinkedIn profile set you provide. I will first process the 10-profile acceptance sample, capturing software-development skills with endorsement counts plus listed project descriptions, then normalize formatting, flag inaccessible or missing fields, and remove duplicates using the profile URL as the key. I use AI-assisted Python and Excel tooling for extraction and consistency checks, with manual review against each accessible source profile; I will not bypass LinkedIn access controls. Before the full pull, please share the search parameters or profile URLs, target profile count, and whether multiple skills should be stored as skill-count pairs in one row or one row per skill. This bid is for actual time, starting with up to 5 hours in the first week; one correction pass is included for the agreed fields.

@Kaiden010

I recently helped a business strengthen its digital presence with a smoother, more professional customer experience. I can help you extract the relevant developer skills and project experiences from LinkedIn profiles efficiently and accurately. I understand the importance of delivering a clean and organized dataset that meets your specifications. My approach will ensure that the skills, endorsement counts, and project experiences are well-documented and free of duplicates. With my background in data extraction and analysis, I can utilize tools like LinkedIn Recruiter and Python scripts to gather the necessary information. I prioritize clear communication, attention to detail, and quality results. I’d be happy to hear more about your project and discuss how I can assist you. Feel free to send me a message anytime. Regards, Kaiden010.

@deepthisunesh21

Hi, I can carefully collect and format the required LinkedIn data into a clean, duplicate-free Excel sheet matching your exact column structure (Skill, Endorsement Count, and Project Experience). Here is how I will approach your task: Accuracy & Formatting: I specialize in detailed data entry and web research. I will verify every entry to ensure proper alignment and consistent column formatting. 10-Profile Test Batch: I am happy to submit a 10-profile sample first for your review to confirm the data structure and quality before beginning the main pull. Timely Delivery: I double-check all rows to ensure zero duplicates and can dedicate 15 to 20 hours per week to complete the batch quickly. Please share the search parameters and the target number of profiles, and I will prepare the 10-profile pilot right away! Best regards, Deepthi

@kajalbhammar26

Hello, I understand you’re looking for a detail-oriented researcher to collect Software Development skills with endorsement counts and project experience from LinkedIn profiles, then organize everything into a clean, duplicate-free Excel/CSV file. I can provide: Accurate collection of relevant skills and endorsement counts Brief, clear project experience descriptions Consistent formatting and duplicate checking A 10-profile sample for your acceptance test before the full dataset Final delivery in Excel or CSV format I have experience with web research, data collection, data processing, and spreadsheet management, with a strong focus on accuracy and consistency. Please share your search parameters and target profile count, and I can get started with the initial 10-profile sample. Best regards, Kajal