Targeted LinkedIn Contact Scrape

@imraz2016

Hi There, I have strong experience with LinkedIn Sales Navigator, Apollo, targeted B2B lead research, and email verification. I can follow your exact industry, location, and seniority filters, manually verify profile relevance, and deliver 100–300 clean contacts with Name, Job Title, Company, and verified non-generic business email. I’ll also remove duplicates and flag uncertain contacts rather than guessing. I can start immediately and deliver within **48 hours** after receiving the search criteria.

@salmaakternisa

Hi, I can research 100–300 LinkedIn profiles based on your exact industry, location, and seniority filters and provide clean data with Name, Job Title, Company, and verified email. I’ll use Sales Navigator, Apollo, and other reliable research/verification methods, avoiding generic or questionable emails. I can deliver the completed Google Sheet/XLSX within 48 hours of receiving the criteria, along with a brief overview of the research method used.

@malika335

Hi there! Building a robust, anti-bot resilient Python scraper using Selenium/Playwright or Apollo/Sales Navigator integration to automatically extract targeted LinkedIn profiles and verified emails into a precisely formatted Google Sheet or XLSX file is right in my wheelhouse. I regularly build advanced web scraping pipelines and data automation tools, so feel free to check my profile portfolio. Before we get started, could you share the exact industry, location, and seniority search filters you'd like to use? Once you share the details, I can map out everything cleanly and deliver the runnable script and data file step-by-step. Looking forward to working together! Best regards, Ahmad Hassan

@tmoi06

Hello Sir, I can handle this 100–300 profile LinkedIn research project with a strong focus on clean, verified data and a fast 48-hour turnaround. ✅ Why Me? ✔ Extensive experience in LinkedIn research, lead generation, web research, and contact enrichment ✔ Skilled at identifying profiles precisely against industry, location, and seniority filters ✔ Experienced with Sales Navigator, Apollo, email research, and verification workflows ✔ Strong focus on personal/business emails rather than generic addresses ✔ Careful cross-checking of name, current role, company, and email ✔ Clean Excel/Google Sheets delivery with consistent formatting and no duplicates ✔ 500+ projects completed | 5.0-star rating I’ll use the most appropriate combination of LinkedIn/Sales Navigator, Apollo, public company sources, and compliant research methods, while avoiding unnecessary scraping that could violate LinkedIn’s terms. I can also provide a brief tool/methodology note so the process can be replicated for future updates. Best regards, Ayan

@durranigts

Hi, I can build the 100–300 profile list based on your exact industry, location, and seniority filters. I’ll collect Name, Job Title, Company, and verified individual email, then cross-check the data to minimize invalid or generic addresses. I can use LinkedIn/Sales Navigator alongside Apollo or other suitable tools and provide a brief, replicable workflow. I can start as soon as you provide the search criteria and deliver within 48 hours.

@mattafareed4848

Hello I can compile 100–300 targeted LinkedIn profiles based on your filters and deliver a clean Google Sheet/XLSX with names, titles, companies, and verified work emails. I’ll use an appropriate compliant research/tool stack, document the process, and can complete the list within 48 hours of receiving your criteria. Regards Muhammad

@ImranAli01

Hi there, I got that you are looking for a targeted LinkedIn contact scrape, focusing on industry, location, and seniority filters to extract specific details like name, job title, and verified email addresses. This is what I can help you with, let's chat. My approach is to utilize a combination of Sales Navigator and a custom Python script to ensure accurate and clean data extraction while adhering to LinkedIn's terms. By leveraging these tools effectively, you can expect a comprehensive Google Sheet or XLSX file with detailed columns for Name, Job Title, Company, and Verified Email. I will also provide insights into the method or toolstack used for future reference. Additionally, I will ensure a quick turnaround within 48 hours of receiving the search criteria, allowing you to proceed with your final validation seamlessly. As final deliverables, you will receive a detailed spreadsheet with the specified information, along with a clear methodology overview for your convenience. One thing I'd like to confirm before we start: Do you have any specific preferences regarding the search criteria to be applied? Looking forward to discussing further. Regards, Imran A.

@zafarfarooq612

Hello, I can deliver 100–300 targeted LinkedIn leads within 48 hours, matching your industry, location, and seniority filters. I’ll provide Name, Job Title, Company, and verified individual work email in a clean Google Sheet/XLSX, with no generic or knowingly invalid emails. I can use a compliant research and verification workflow and will share the toolset/method used for easy future updates. I’m ready to start as soon as you provide the criteria. Regards, Zafar

@techplusintl

Hi, I can provide a concise and accurate scrape of LinkedIn profiles that fit your specified filters. To achieve this, I will utilize tools like Sales Navigator and Phantombuster, along with a custom Python script to ensure compliance with LinkedIn's terms while delivering clean data. I will focus on gathering the required information: name, current job title, and verified email addresses, ensuring no generic or bounced emails. I recommend starting by confirming the specific filters you want to apply. Once I have that, I can begin the scraping process immediately. I will deliver the data in a Google Sheet or XLSX format, with clear columns for each data point. Additionally, I will provide a brief note on the method used, allowing you to replicate the process for future updates. To ensure accuracy, I will implement checks during the scraping process to minimize errors. Testing the output against known profiles will also be part of the verification process. Thanks!

@Sumyasuma

Hi, I can research **100–300 LinkedIn profiles** based on your industry, location, and seniority filters and deliver a clean Google Sheet/XLSX containing: * Name * Job Title * Company * Verified business email I’ll use a combination of compliant public-web research and appropriate lead-research tools, cross-check the person/company details, remove generic addresses and duplicates, and verify emails before delivery. I can start immediately once you provide the exact search criteria and aim to complete the list within **24 hours**. I’m happy to provide a small sample first so you can verify the quality.

@muneeb6767

I can build the 100–300 lead list using targeted LinkedIn/Sales Navigator research, enrichment, and email verification, with strict filters for industry, location, and seniority while avoiding generic or invalid emails. I’ll deliver a clean XLSX/Google Sheet within 48 hours with the exact fields requested and document the toolstack for repeatable updates.

@emilesd617

Hi, I am a data extraction developer with 8 years of rich experience in software development and web scraping. I am familiar with Python, LinkedIn Sales Navigator, Apollo, Phantombuster, Google Sheets, XLSX processing, email enrichment, and validation tools such as Hunter and NeverBounce. I can apply your industry, location, and seniority filters, collect the approved professional profiles, verify business emails, remove duplicates, and deliver the organized file with a short method note within 48 hours. I'm an individual freelancer and can work in any time zone you prefer. Please contact me with the best time for you to have a quick chat. Looking forward to discussing more details.

@rezamahi

With my extensive experience as a Researcher, Data Analyst and Web Scraper, I am confident that I can quickly and accurately scrape the targeted LinkedIn profiles you need. I have a deep skillset in data processing and internet research alongside broad tools knowledge such as Sales Navigator, Phantombuster, Apollo, and of course custom Python scripts. Accessibility, cleanliness, and precision are my hallmarks irrespective of whether I'm using advanced tooling or crafting custom solutions in code. Delivering within 48 hours after receiving your search criteria is well within my capabilities—I truly understand the importance of timely delivery in this kind of project. As requested, my outputs will be in a Google Sheet or XLSX file with separate columns for easy organization. Additionally, I'll provide a brief note on the method or toolstack used which will enable you to easily replicate updates going forward. Accuracy is pivotal and I assure you that my scrapping results will exceed expectations. A testament to this is my proficiency in data cleaning and preprocessing techniques ensuring high-quality data that passes validation through services such as Hunter/NeverBounce effortlessly. Let’s not waste any more time. Give me the green light and let’s get started!

@demivision

Hi there, Employer, Thank you for outlining your requirements so clearly. I understand you’re seeking an accurate, targeted scrape of 100-300 LinkedIn profiles based on specific filters, with verified emails and clear data formatting. As a freelancer with extensive experience in LinkedIn data extraction, enrichment, and validation, I’m confident I can deliver precisely what you need. I’ve completed similar projects using a blend of tools such as Sales Navigator, Apollo, and custom Python scripts, always ensuring compliance with LinkedIn’s terms and prioritizing data accuracy. My workflow combines automated scraping (for efficiency and consistency), API integrations (where available), and manual review to filter out generic or invalid contact info. For email verification, I cross-reference multiple data sources and validate deliverability before including any address—minimizing bounces and ensuring you get only working, professional contacts. The final dataset will be delivered in your preferred format (Google Sheet or XLSX), complete with Name, Job Title, Company, and Verified Email columns. Alongside the data, I’ll provide a brief summary of the methods and tools used, so you can easily update the list in the future if needed. I can start promptly upon receiving your search criteria and am committed to a smooth, communicative process throughout. Looking forward to collaborating and providing the high-quality, actionable data you need for your outreach. Best regards, DemiVision, LLC

@akkiwadhwa1995

I run targeted LinkedIn scrapes like this regularly — once you share the Sales Navigator search, I'll pull the 100-300 matching profiles and return name, current title, and a verified working email for each. The "no bounced emails" part is the whole job, so I run every address through verification and drop anything risky rather than padding the count. Custom Python + Apollo/enrichment as needed. Delivered as a clean CSV. Happy to send the first 20 verified rows before you commit.

@FarrukhShakeel1

Hi there, Is this project still available? I'm a B2B Lead Scraper/Outreach Assistant, and I can use Apollo and Lusha, my go-to tools, to find business emails for 100–300 prospect profiles. The Excel file will contain the exact same columns mentioned in the job description, the business emails will be validated through No2Bounce, and the bounce rate will be less than 0.01%. I can start today if the project is available and deliver the Excel file within 1–2 days, depending on the exact number of LinkedIn profiles you have for this marketing campaign. Feel free to reach out. I look forward to your response. Thank you.

@huzaifa306

Hi, I can collect and organize the required LinkedIn profiles based on your industry, location, and seniority filters, including name, job title, company, and verified email in a clean spreadsheet. I have experience with web scraping, Python, data collection, and lead research. I can use a reliable approach while respecting platform requirements and deliver the data within 48 hours. I can start right away once you share the criteria.

@mahads31

With over a decade of experience in transforming efficient, reliable, and clean data, I believe I'm the best fit for your LinkedIn scraping project. As a technology partner, my strategy and execution focus would ensure that the project runs smoothly from start to finish. Additionally, my in-depth skills in Data Entry, Data Management and Python give me the capacity to create a program that is tailor-made to suit your industry, location, and seniority filters. At the moment, as I submit this sales pitch to you within two hours after receiving your project description. This highlights my responsiveness. I don't just claim it, I follow through! Additionally, I can assure you a turnaround time of 48 hours once you provide all the necessary search criteria. In conclusion, trust me to deliver sharp insights on your target audience through their names, job titles, company names and verified email IDs on a Google Sheet or XLSX file. My approach will not only save us both-time but will foster trust because of my upfront accuracy. Afterward, it’s completely fine for you to validate the emails through Hunter/NeverBounce as per your process; no question about that! Partner with me today and let's get this show on the road!

@ranikhuku5

Given the nature of your project, I understand accuracy and efficiency are paramount in the successful completion of your task. Having previously employed these skills as a social media expert, my expertise aligns perfectly with your needs. My detailed knowledge of social media platforms, including LinkedIn, combined with my proficiency in using tools like Sales Navigator and Phantombuster makes me an ideal fit for this project. Throughout my career, I've consistently relied on organic growth to deliver real value to my clients. In this case, it means delivering an extremely targeted list of 100-300 niche-specific profiles that meet your specific requirements. Apart from the job title and working email addresses you require - which can be retrieved through effective scraping methods like building a custom Python script - I'll also provide company and verified email credentials in a Google Sheet or XLSX format.