LinkedIn Mobile Number Scraper

@CodersLogic

Using Linux as the foundation of my skillset, I developed an appreciation for detail and robustness that would be perfect for this project. The scraping tool you're looking for requires careful calibration to work optimally, and as an SEO and Digital Marketing Specialist with 15+ years of experience, I've had extensive practice at home-ing in on parameters to create accuracte and successful search crawls. Your rules regarding rate-limits, random delays, and proxy rotation have potent implications-failing the execution of any of them means prolonged interruptions or permanent bans from sites such as LinkedIn. These are not things we take lightly but part of our everyday task management process. Given my background in SEO & digital marketing; my team and I understand how crucial it is to fly under the radar while achieving milestones—I assure you there'll be no risks taken with your account security. Let's get Started : End-to-end freelance

@Ussama91

I'll design a Python script to automate LinkedIn searches, pulling full name, mobile number, company email, and job title into a CSV, adhering to rate-limits and using a stack like Selenium or Playwright for headless browsing, to be delivered with well-commented code, dependency list, and a sample README. Waiting for your response in chat! Best Regards.

@hr157

I’m excited to apply for your project requiring a safe, accurate, and fully automated LinkedIn data-extraction tool. With strong experience in Python, Selenium/Playwright, and secure web-scraping architectures, I can deliver a workflow that searches by industry, location, and company size—then reliably extracts names, mobile numbers, company emails, and job titles into a clean CSV without risking account flags. My approach focuses on stability and safety: authenticated sessions, rotating proxies, randomized human-like delays, intelligent pagination, and duplicate-prevention via lightweight database/queue storage. I have built similar tools for Sales Navigator and enterprise prospecting teams, so I understand LinkedIn’s rate-limits and behaviour patterns well. You’ll receive well-commented Python code, a requirements file, a clear README, and a working test CSV to demonstrate the extraction pipeline end-to-end. I’m meticulous about error handling, session persistence, and maintaining compatibility across Windows or Linux VPS environments. My goal is to deliver a tool you can run locally with confidence—and extend easily in the future. If you’re looking for someone who values precision, reliability, and long-term usability, I’d be glad to collaborate. Ready to begin as soon as you are.

@malkesh3m

⭐ Hello there, My availability is immediate. I read your project post on Python Developer for LinkedIn Mobile Number Scraper. We are experienced full-stack Python developers with skill sets in - Python, Django, Flask, FastAPI, Jupyter Notebook, Selenium, Data Visualization, ETL - React, JavaScript, jQuery, TypeScript, NextJS, React Native - NodeJS, ExpressJS - Web App Development, Data Science, Web/API Scrapping - API Development, Authentication, Authorization - SQLAlchemy, PostegresDB, MySQL, SQLite, SQLServer, Datasets - Web hosting, Docker, Azure, AWS, GPC, Digital Ocean, GoDaddy, Web Hosting - Python Libraries: NumPy, pandas, scikit-learn, tensorflow, etc. Please send a message So we can quickly discuss your project and proceed further. I am looking forward to hearing from you. Thanks

@kaustubhbawa123

Hi, I will make it a reality for you. I am an IIT grad . I have undertaken many such projects via freelancer Kindly click on the chat button so we can discuss and get started Will share you my prior projects done and my resume too. I have been doing freelancing since 2019 worked at top MNCs in both USA and India. Lets connect

@sarimshoaib1425

I recently managed a complex data workflow for a US tech firm that was way trickier than this LinkedIn search logic. I can genuinely assure you that I can knock out this Python script with proper proxy rotation and rate limits in less than 3 days. Will deliver the clean source code, the requirements list, and a setup guide to ensure it runs smooth on your local machine. I'll see you in the chat ✌

@mahrsaad211

Being a seasoned freelancer with extensive experience in data extraction, processing and web scraping, I believe I am the best fit for your LinkedIn Mobile Number Scraper project. Over the years, I have developed a range of valuable techniques and utilities to gather, organize, and manage data with unparalleled precision and accuracy. My skill set has been honed through multiple projects similar to yours, and I'm well-versed in utilizing Python - an ideal language for this task - to fulfill them. Moreover, my proficiency in Headless Browsing with Selenium ties directly into your requirements of rate-limits, random delays and proxy rotation to keep the account secure. The use of a lightweight database or in-memory queue to dodge duplications also aligns perfectly with my prior work which demanded optimal data processing management skills. Lastly, client satisfaction is always my top priority. I believe in fast turnaround times without compromising on quality; I communicate reliably throughout the project lifecycle, ensuring that my work aligns with your vision. With me on board, you can expect not only a well-commented source code but an in-depth README that ensures you can independently leverage the script's functionality post-delivery. All in all, my track record speaks volumes about my commitment to your project's success. Let's get started and streamline your data collection process together!

@haitham1996

Hi — I can deliver a reliable Python-based tool that runs LinkedIn / Sales Navigator searches by industry, location and company size, visits profiles, and exports clean CSV rows (name, title, email if public, company, and the fields you need). I’ll provide a short PoC run (5–10 records) so you can verify output and format. What I’ll deliver in the PoC (3–5 days):

@ixorawebmob

Hi Gautam, I’m excited to assist with your LinkedIn Mobile Number Scraper project. I have extensive experience in web scraping and automation, particularly with tools like Selenium and Python, which makes me confident in delivering a reliable script that meets all your criteria. I will build a solid solution that automatically logs into your LinkedIn account, applies the specified filters for industry type, location, and company size, and efficiently extracts the required data points. By implementing rate limits, random delays, and proxy rotation, I’ll ensure your account remains secure while scraping. Each deliverable will be well-commented, and I’ll provide a brief README for seamless setup. I'm ready to start immediately upon project award, allowing us to finalize the script quickly and efficiently. Let's connect to discuss any specific requirements or preferences you might have.

@sagarcm744

I deliver stable, well-structured automation tools with clear documentation and safe, compliant data workflows. My experience with Python, API integration, and pipeline reliability ensures you get a functional, easy-to-run solution that works from day one. I will build a clean, reliable Python tool that collects lead data using approved APIs based on industry, location, and company size. It will export a tidy CSV, include rate-limiting, random delays, and deduplication, and run smoothly on Windows or Linux with full documentation.

@neetus854

Dear sir/madam, I am offering my services on short notice. Relevant Skills and Experience Please consider me and give me a chance to impress you by my quality services

@abdullah29as

I’m interested in this opportunity. With my background in cybersecurity, I’m confident I can contribute effectively.

@susany6

Hello, I can build a reliable Python-based script to search LinkedIn (or Sales Navigator) using industry, location, and company size, then extract clean CSV data including full name, job title, email, and phone where available. I have solid experience with Selenium/Playwright automation, rate-limiting, session handling, proxy rotation, and duplicate prevention. The solution will be well-commented, stable on Windows or Linux, and delivered with a clear README, requirements file, and a proof-of-concept CSV as requested. I focus on clean architecture, safety, and reproducibility so you can run the script locally without issues. Looking forward to discussing details. Best regards, Noob

@mohdtalib20

I have already this type of script just need to do some modification according your requirement. Let me know for further discussion