LinkedIn Interests Scraper to Sheets

@raminde

Have over 18 years of experience in data mining/ Web scrapping/ Scraping Bots/ Chrome/Opera Extensions I have done it all. Tell us your source and we will put it in excel for you, Or we can even give you filtered results as per your requirement, In the format you want. You can also ask for data into a particular format - Excel, Json, Mysql, Databases, XMLs, you name them. Further Can help you with integrating it with ur databases, Can create json outputs. We are not only good with scraping but also with the tools that u may need after that. We can help you build you softwares round the data we have 99% Data Accuracy. We have Duplicate finder. etc., We can help with Statistics on the data We can help with creating Api's front the data We can create Softwares to manage that data We can build Sites round the data

@yashaswibhas039

Hi, I can accurately transfer your curated LinkedIn profiles into a well-structured Google Sheet with one profile per row, capturing interests (comma-separated), the five meet-up types verbatim, and tagging each under Industry Experts, Potential Clients, or Collaborators for easy filtering. With expertise in scraping I can complete this task in 2-3 days. Thanks, Yashaswi

@yuanzhi5

I will develop a robust LinkedIn Interests Scraper to Sheets solution using Python (BeautifulSoup/Selenium) for reliable data extraction. My technical approach includes navigating profiles, extracting specified fields, and automating export to Google Sheets via API for organized delivery. Implementation plan: Process your URL list, accurately locate target sections like "Interests," implement respectful delays, and ensure seamless data transfer. The complete solution will be delivered within 9 hours. Budget: My fixed quote is 1350.0 INR for end-to-end development and delivery of the functional script and populated sheet. To confirm the project scope, what specific fields beyond "Interests" do you require from each profile?

@Hemantt841

With 7 years of experience in data scraping and automation, I am the best fit to complete this requirement. I have the relevant skills to deliver the project successfully. How I will complete this project: - I will start by reviewing the curated list of LinkedIn profile URLs provided. - I will then extract the key networking details such as interests and types of people they want to meet for each profile. - I will categorize the meet-up types under Industry experts, Potential clients, and Collaborators. - Each profile will be placed in a separate row in the Google Sheet with columns for Profile URL, Name, Interests, Type 1 through Type 5, and Category tag. Tech stack I will use: - I will use Python along with Selenium for scraping the data from LinkedIn. - Google Sheets API will be used to populate the extracted data into the Google Sheet. - I will ensure that the data is accurately pulled without triggering any scraping limits. I have worked on similar solutions in the past and have a proven track record of delivering high-quality results. I am confident that I can efficiently complete this project within the specified requirements.

@mohamedhaithamX

Hello, I have more than 5 years experience in Data Mining and Data Entry. I understand your request perfectly and I understand that accuracy is so important in this job. I can finish this job in less than 24 hours and it will only cost you 800 INR. I really need this job as a beginner on this website to get more reviews. I would appreciate the help. I'm looking forward to your reply! Thank you.

@Rk510

Hello sir, I have good typing speed and I can complete your data entry work with 100% accuracy. I am ready to start immediately and will deliver on time. Please give me a chance to work with you. Thank you.

@mariamz24

Hi, We would like to grab this opportunity and will work till you get 100% satisfied with our work. We are an expert team which have many years of experience on Python, Data Entry, Web Scraping, Data Mining, Data Scraping, Google Sheets, Selenium, Data Management Lets connect in chat so that We discuss further. Thank You

@alwinw7

Hi, I can help you extract LinkedIn profile details into Google Sheets accurately. My Approach: 1. Accuracy First:I will carefully verify each profile's "Interests" and "Meet-up" types as per your request. 2. Categorization: I will correctly tag them (Industry experts / Potential clients / Collaborators) based on your logic. 3. safety: I will perform this task manually (or with safe, low-volume automation) to ensure compliance with LinkedIn's terms and avoid any account risks. I am ready to process a sample batch for your review immediately. Best regards, Alwin

@mananvadi

I am a Python developer specializing in web automation and data extraction. I can efficiently transfer your LinkedIn list to Google Sheets with 100% accuracy using a custom automation script (Selenium/Playwright). My Approach: Safe Extraction: I utilize human-like delays and browser simulation to strictly comply with LinkedIn’s terms and avoid triggering rate limits. Smart Categorization: My script will not just copy text; it will logically map the "meet-up" types into your three specific tags (Industry Experts, Potential Clients, Collaborators) as requested. Direct Integration: I use the Google Sheets API to push clean, formatted data directly to your sheet, ensuring no copy-paste errors. I am ready to provide a free sample of the first 5 profiles immediately so you can verify the formatting and accuracy before we proceed with the full list. I can complete this project within 48 hours. Looking forward to working with you.

@Ashx87

Hi, I read your project description carefully and understand exactly what you need: extracting interests, "meet-up" types, and category tags from a list of LinkedIn profile URLs, then organizing everything cleanly into a Google Sheet with columns for Profile URL, Name, Interests, Type 1–5, and Category tag. Here's my approach: I'll use Python with Selenium to visit each profile, extract the relevant data fields, and write everything into your shared Google Sheet via the Google Sheets API. I'll start with a small batch (5–10 profiles) so you can review the formatting and accuracy before I process the full list. I fully respect LinkedIn's terms and will pace the scraping to avoid any rate limits.

@Devgroup01

Hi, I understand you already have a curated list of LinkedIn profile URLs and need the networking information accurately structured into a clean, filter-ready Google Sheet. I can help you extract each profile’s stated interests and the “people they want to meet” sections, then organize them exactly as required — including verbatim Type 1–Type 5 entries and proper category tagging (Industry Experts, Potential Clients, Collaborators). I have experience working with Python-based data extraction, Selenium automation, and structured data preparation for analysis and filtering. Accuracy and consistency will be prioritized over speed, and the process will be handled carefully to comply with LinkedIn’s limits and avoid triggering restrictions. I can also start with a small sample batch so you can review formatting and data quality before proceeding with the full list. Deliverables will include: • One profile per row • Profile URL and Name (as displayed) • Interests (comma-separated) • Type 1–Type 5 fields (verbatim wording) • Correct category tagging for easy filtering I’m happy to discuss your preferred format or any additional tagging rules before starting. Looking forward to working with you. Best regards, Abdul

@charant47

Hi, I can handle this extraction cleanly and safely. I’ll capture the required fields from each LinkedIn profile URL and structure everything into a well-formatted Google Sheet with one profile per row. I’ll follow LinkedIn’s terms and avoid aggressive scraping — accuracy and clean formatting will be the priority. Approach: Use controlled browser automation/manual parsing to avoid triggering blocks Extract: Name, Interests, Meetup types (Type 1–5), Category tag Deliver structured Google Sheet exactly as requested Provide a small sample first for approval before processing the full list I’ve built similar data extraction and automation pipelines using Python and Selenium, so handling this at scale while keeping data clean and consistent won’t be an issue. Happy to start immediately and send a sample within a few hours.

@kuldeepc50

Hello, I can help you accurately extract and structure the networking details from your curated LinkedIn profile list into a clean, filter-ready Google Sheet. For each profile, I will: • Capture the Profile URL • Record the Name exactly as displayed • Extract stated Interests (comma-separated) • Pull the five “types of people they want to meet” verbatim • Tag each under one of your three categories: Industry Experts / Potential Clients / Collaborators I understand that accuracy matters more than speed. I will ensure all text is captured exactly as written and formatted consistently so you can filter and analyze the sheet easily. To remain compliant with LinkedIn’s terms, I will work using the profile access you provide and handle extraction carefully to avoid triggering any platform limits. We can begin with a small sample batch for your review to confirm formatting and tagging logic before proceeding with the full list. I’m comfortable working manually for precision or organizing the data efficiently if volume is high — the final output will land cleanly in your shared Google Sheet, structured exactly as requested. Ready to start with the sample whenever you’re set.

@BrainstackTech

LinkedIn's profile structure doesn't expose "types of people they want to meet" in any structured field—that text lives in About sections, Featured posts, or custom headline areas, which means this is actually a pattern-matching problem, not straight DOM scraping. We've built similar LinkedIn scraping pipelines for networking research, using Selenium with randomized delays and session rotation to stay under LinkedIn's rate limits. For your project, we'd extract the profile fields you specified, then apply regex + keyword matching to classify the five "meet-up" types into your three categories (Industry experts, Potential clients, Collaborators). The Python script would write directly to your Google Sheet via the Sheets API, with one profile per row and the exact column structure you outlined. One assumption: if a profile doesn't explicitly list five types or any networking preferences, we'd flag those rows as "incomplete" rather than guess. We'd recommend starting with a 10-profile sample to validate the classification logic before processing your full list—that way you can adjust the category keywords if needed. Share your list size and the Google Sheet link, and we'll send over the sample batch within 48 hours.