LinkedIn Employee Data Scraping

@afua23

Hello there, I have read your project with title LinkedIn Employee Data Scraping carefully and i can help you. I have a 15+ experience in web scraping. Here are a few examples of past projects i have completed here: https://www.freelancer.com/projects/data-entry/Scrape-Data-from-Websites-39311571/details https://www.freelancer.com/projects/data-extraction/Web-Database-Extraction-Script/details https://www.freelancer.com/projects/php/PYTHON-SCRAPER-35879443/details https://www.freelancer.com/projects/excel/Web-scraping-for-public-information/details Let's chat so that we can discuss the fine details/ Thanks Claudia

@belalihabibullah

Hi, I’m an experienced LinkedIn data research specialist and can build a clean UTF-8 CSV of current employees with sourcing-related titles. I’ll capture the exact LinkedIn name, tenure at the company, current title, and profile location, with careful spot-checking for accuracy. I can use compliant research methods such as Sales Navigator or approved exports while respecting LinkedIn’s terms. Please share the target company and sourcing-title criteria to get started. Best regards, MD

@TanvirKhanPaple

Hi there! Project is very clear to me and I can extract the required LinkedIn data accurately and deliver a clean UTF-8 CSV ready for Google Sheets. I can follow your exact criteria for sourcing-related titles and verify the collected profiles before delivery. I’m ready to start as soon as you provide the target company and title/keyword list. Just message me I am ready to start now and i will show you few data sample before start. Thank you.

@intelliresponse

Hello, I can help you collect and organize accurate LinkedIn data into a clean UTF-8 CSV format. I have experience with web scraping, data extraction, Python automation, Selenium, and spreadsheet-ready data processing. I can gather the required profile details including full name, company tenure, current job title, and location while maintaining accuracy and consistency. I will ensure the final CSV is properly structured, easy to upload into Google Sheets, and ready for verification. I focus on clean data collection, avoiding duplicates, and delivering reliable results that match the required criteria.

@imahedi

Hi there, LinkedIn data scraping expert here, will find all current employees at your target company with Sourcing related titles and collect full name, total time at the company, current job title and location for each person. Final delivery will be a clean UTF-8 CSV ready for Google Sheets upload. Could you please share the target company name so I can get started right away? Thank you.

@denisSolution

Hi, I'm Denis, a full-stack developer experienced in data extraction, web scraping, API integrations, and structured data collection. I understand your need: a clean CSV with sourcing professionals at your target company, capturing name, tenure, title, and location—accurate enough to pass spot-checks against live profiles and ready for Google Sheets. I've handled similar projects where accuracy and compliance were critical. My approach is straightforward: First, I'll review the most reliable method for your company size and LinkedIn's current restrictions. Depending on scale, I'll use Python with Selenium for direct scraping, or leverage Sales Navigator exports if accessible, since they're more reliable and compliant. I'll extract exactly those four fields, validate data during collection, and deliver as UTF-8 CSV. The main consideration is LinkedIn's rate limiting and detection systems. I'll build in proper delays and request handling to avoid blocks, and verify a sample of entries before handoff to ensure accuracy. For large employee bases, we may need to stagger collection over multiple sessions. I can start right away. Let's connect and discuss the details. Thanks, Denis.

@zafarfarooq612

Hello, I am an experienced data researcher and can create a clean UTF-8 CSV of current Sourcing-related employees with their full name, tenure, current title, and location. I’ll ensure the data is accurate, verified, deduplicated, and collected using a LinkedIn-compliant method. I can start immediately. Regards, Zafar

@mattafareed4848

Hello, I will develop a clean Python/Selenium script to extract current sourcing professionals for your target company with full names, precise tenure, job titles, and locations into a UTF-8 CSV. The tool will utilize custom parsing logic and anti-bot stealth measures to ensure 100% data accuracy against live profiles for your Google Sheets upload. Let's discuss your target company details and timeline to get started. Regards Muhammad

@Sumyasuma

Hi, I can create a clean **UTF-8 CSV** of current employees at your target company with Sourcing-related titles. For each profile, I’ll provide exactly: * Full name * Company tenure (years/months) * Current job title * LinkedIn location I’ll focus on current profiles, carefully cross-check the data, remove duplicates, and ensure the final file is Google Sheets-ready. I’ll use **LinkedIn-compliant research methods** and won’t rely on unauthorized scraping. I’m experienced in LinkedIn research, data extraction, Python, and spreadsheet preparation, and I’m ready to start immediately.

@ganeshrasekar

I can do it

@rezamahi

I have 6+ years of experience in web research, lead generation, data extraction, and CSV/Google Sheets preparation. I can build a clean UTF-8 CSV of current employees matching your Sourcing-related title criteria, including exact name, tenure at the company, current title, and profile location. I’ll prioritize accuracy and manually cross-check records before delivery. For LinkedIn data, I’ll use permitted/authorized methods and sources rather than unauthorized scraping or automation, keeping the workflow compliant with LinkedIn’s terms. I can provide a small sample first for verification, then scale the research once the format and accuracy are approved. Best regards, Rajaoul Haque Mahi

@MMURajo10

hi, I can accurately compile a clean, current employees with Sourcing-related titles from the target company on LinkedIn. I’ll capture exactly the four required fields: full name, company tenure (years/months), current title, and profile location. I’ll use a reliable, research method and carefully verify the data before delivery. I understand the importance of your 10-entry spot check and will prioritize accuracy and consistency so the final file is ready for Google Sheets upload. I’m detail-oriented, reliable, and ready to start immediately. thanks Raju

@AndrewJSMAN

I've built LinkedIn scraping pipelines with Selenium and Sales Navigator exports before—this is straightforward. I'll use Sales Navigator's native export where possible (cleanest compliance path), then supplement with targeted Selenium scraping for any gaps, filtering by job title keywords like "Sourcing," "Recruiter," "Talent Acquisition" to isolate your target profiles. Data gets normalized into a four-column CSV: full name, tenure (calculated from start date), current title, location. I'll validate against live profiles for accuracy before delivery and ensure UTF-8 encoding for direct Google Sheets import. The main operational concern is tenure calculation consistency—I'll timestamp-lock each profile pull to avoid date drift. I can start immediately. Thanks, Andrii.

@albertc1996

I can deliver this as a clean UTF-8 CSV with exactly the 4 fields you requested, and I’ll verify the records before delivery so your random profile checks match. One question before I lock the scope: approximately how many Sourcing-related employees do you expect at the target company? I work with Python and structured data extraction/cleaning, and I can filter titles, remove duplicates, calculate company tenure in years/months, and keep the output Google Sheets-ready. I can start immediately.

@keerthi2406

Hi Sir/Madam, I am a professional Data Entry Operator with excellent accuracy and attention to detail. I have carefully reviewed your project description and can help you manually extract the 4 key details mentioned in the project. I can deliver 100% accurate work with high speed and consistency. Kindly share a few URLs so I can complete a sample task and demonstrate the quality of my work. I look forward to hearing from you. Thank you!

@sharmin283

As a seasoned full-stack developer with a specialty in data scraping and Python programming, I am confident that I am the right freelancer for your LinkedIn employee data extraction project. Over my career, I have gathered extensive experience and honed proven skills in conducting web data extraction procedures, adhering to all the appropriate terms and conditions. These skills will guarantee a clean CSV with relevant information about the target company's present employees that hold a sourcing-related title. I am particularly well-versed in using Selenium as a tool for automation-driven web scraping which aligns perfectly with your project needs. Additionally, my extensive work on backend automation and API integrations will ensure I deliver you a UTF-8 CSV that can be immediately uploaded to Google Sheets without any compatibility issues. My keen focus on avoiding narrative role descriptions and providing only your required essential information further reflects my dedication to not only meeting but exceeding your expectations. Beyond compliance, I promise 100% accuracy and thoroughness by selecting random entries to spot-check against live profiles. My commitment to delivering quality work will ensure that every single one of these entries matches the live profile. Choose me, Md Rashedul, for this LinkedIn employee data scraping project, and be assured of receiving not just the product you desire but also exceptional service throughout our collaboration.

@saravananece90

Hi there, I can help compile a clean CSV of current employees matching the required Sourcing-related titles, including full name, total time with the company, current job title, and location. I will organize the data in a clear UTF-8 CSV format ready for Google Sheets and carefully check the information for accuracy. Please share the target company name and the approximate number of employees or expected records so I can confirm the scope and turnaround time. Thank you, Saravanan

@DataScraperNirod

Hi, I have read your job description & have understood your all requirements. I am an experienced person to do this kind of job. And also I have a big team to complete it earlier. So, you can hire me at a low price. After seeing my previous records, You will decide that I will be the right person for you. Now you can justify me and give me a chance to serve you. Best regards Nirod Biswas

@Yevhen1987

Hi. I can rapidly extract the LinkedIn employee data you need for your Sourcing team from a single company profile. - Clean UTF-8 CSV with full name, total time at company, current job title, and location. - Data verification against live LinkedIn profiles for 100% accuracy as requested. I can deliver this within a 1-2 days for $50. What is the LinkedIn URL of the target company you need scraped? Best regards, Yevhen.