LinkedIn Mass Connection Script

@diektech

Hi — Elias here from Miami. I see you’re looking to automate connection requests on LinkedIn with a Python solution. The goal is clear: increase your networking efficiency. The technical challenge here is primarily around reliability and compliance with LinkedIn’s policies. What usually matters most is ensuring the script can handle rate limits and adapt to changes in the platform. A common issue in systems like this is managing requests without triggering anti-bot measures, which can lead to account restrictions. My approach would involve using Python with Selenium for automation, ensuring that requests are sent thoughtfully to avoid detection. I’d structure the script to maintain state, handle errors, and allow for future enhancements, such as user role management or integration with other tools. I’ve worked on similar automation projects where compliance and scalability were critical. My experience in data management and automation will help ensure a smooth implementation. A few questions to better understand the scope: Q1 – What specific user roles will manage these connections? Q2 – Are there existing tools or workflows you currently use that need integration? Q3 – What are your expectations for the volume of connection requests per day? Happy to discuss the details and suggest the best technical approach. Looking forward to hearing from you.

@lkhelladi

Hello, Lyes here: I understand you want a Python tool to send LinkedIn connection requests in bulk from a CSV/TXT while rotating multiple accounts; a key challenge is avoiding LinkedIn throttling and 2FA handling (TOTP) while keeping interactions human-like to reduce blocks. I propose a Playwright-based automation for reliable headful/headless runs, using pyotp to generate TOTP from mail:password:2FA entries, configurable randomized delays and per-account quotas, lightweight CSV logging of attempts/results, and a small config + README for installation and running. Do you need built-in proxy support per account? Also, what daily or hourly invite caps should the script enforce? Looking forward to hearing from you.

@opencollar

Hi, I know how frustrating it can be to send out connection requests on LinkedIn without risking account restrictions. You need a way to automate this process efficiently while keeping it safe and manageable. Sometimes, handling multiple account logins and keeping the activity natural can be a real headache, right? I plan to create a simple Python script that reads your list of profiles from a CSV or TXT file and handles multiple LinkedIn accounts using Selenium with ChromeDriver, which is easy to set up and control. It will include a feature to rotate accounts, adding delays and random pauses to mimic human behavior, so your accounts stay safe. I will also add clear logging so you can see which attempts succeeded, failed, or were skipped, all stored in a lightweight CSV file. The script will be easy to install with concise instructions and flexible enough for you to add extra features later, like sending follow-up messages. Clear communication, working with well-tested tools, and delivering quality code quickly is my goal. I will support you after the project so you can make adjustments if needed. From your description, I see you want these steps automated smoothly—did I catch all your key worries about rate limits and managing multiple logins? Let’s chat about your plan in detail and craft something that grows with your needs. Regards, Nick

@kamran2012

Hi there, I will build the Python script with multi-account rotation (mail:password:2FA via TOTP), configurable delays with randomised pauses, and a CSV log tracking each account, profile URL, and request status. Headless by default, visible mode via a flag. I have shipped a similar LinkedIn automation tool using Playwright, which handled session persistence cleanly across multiple credential sets. Questions: 1) Do you want a custom connection note per request, or blank invites only? 2) Should the script retry skipped profiles on the next run automatically? Share a sample of your CSV format and I will have a working draft ready quickly. Looking forward to your response. Best regards, Kamran

@tangramua

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@DeveloperStation

Hi, For LinkedIn automation, Selenium or Playwright is the right base since the connect flow needs real DOM interaction, but the harder part is the TOTP handling and account rotation, not the click itself. I'd generate the 6-digit code from your mail:password:2FA secrets at login time, then throttle each account separately so no single login exceeds a safe daily connect count with randomised gaps. One question: do your accounts already have session cookies, or do we log in fresh each run? Fresh logins trigger more checkpoints, so I'd prefer persisting cookies per account. I've built Python automation and integration workflows before, including a DevOps integration contract using Python. Given no history here, we can start on a small milestone so you only pay once invites go out and log correctly. I'd lean Playwright for the headless plus visible troubleshooting mode you described. Want me to sketch the credential file format first? Adil

@intelliresponse

Hi, I have strong experience in Python automation, browser automation, and workflow scripting. I can build a clean, configurable automation tool with CSV/TXT input handling, multi-account support, logging, and a simple command-line setup. Approach: Use Selenium or Playwright for reliable browser automation. Support multiple account configurations with credential management and TOTP-based 2FA handling. Implement configurable delays, randomized intervals, and activity controls. Create detailed logs for account, profile URL, status, and execution results. Provide installation instructions and documentation for future extensions. I will focus on clean, maintainable code and a structure that can later support additional LinkedIn automation features. Ready to discuss your workflow and start immediately. Best regards.

@kabirchy

Hi there, I understand you need a reliable Python script to automate LinkedIn connection requests using profile URLs from a CSV or TXT file. Given LinkedIn’s strict anti-automation policies and frequent UI changes, I’ll build a robust, browser-based solution using Selenium with proper delays, error handling, and session management to maximize success while minimizing detection risk. The script will: - Read and validate input URLs from your file - Launch Chrome in headless mode (configurable) with user-agent rotation and stealth extensions - Log in securely via your credentials (no credential storage) - Navigate each profile, detect “Connect” button availability, and send requests with randomized intervals - Log results (success/failure) to a timestamped CSV for review - Include fallback logic for common blockers like CAPTCHA prompts or rate limits I’ll deliver clean, well-commented Python code compatible with Linux and macOS, along with a simple README for setup and execution. Best Regards, Khorshed Alam, RS Software

@dfordesigners

Hello, I can help develop your LinkedIn mass connection script using Python with Selenium for browser automation. The script will support multiple accounts with credential rotation, configurable delays to mimic human behavior, and detailed logging of connection attempts. It will run headless by default but allow visible mode for troubleshooting. The code will be clean and well-commented for easy future extensions. This approach will let you load profile URLs from CSV or TXT, manage multiple LinkedIn logins with 2FA TOTP, and track which account sent requests successfully. I will provide clear setup instructions for dependencies and usage. Do you have a preference for Selenium or Playwright, or should I choose based on stability and ease of use? Best regards, Waqas & GoDesign Team

@KatrinaQ

Hi, I'm a senior developer with 20+ years of experience building automation tools and browser-based scripts, including LinkedIn integrations, and I've delivered similar bulk outreach systems before. I'll build a Python script using Selenium or Playwright for reliable LinkedIn automation, with headless and visible modes for testing. The solution will read your CSV/TXT input, cycle through accounts with configurable delays and random pauses, and log successes/failures for each attempt. I'll implement multi-account rotation using your provided credentials with TOTP generation for 2FA, and package it with clear installation instructions and a README for future extensions. The code will be production-ready but single-purpose, focusing only on connection requests as specified. I can start immediately.

@denisSolution

Hi, I get that this is less about scraping and more about automating LinkedIn actions safely across multiple accounts—keeping delays human-like while logging everything cleanly. I wrote a similar tool for lead outreach where we handled headless/visible mode toggles and API throttling, so the credential rotation and logging parts should be straightforward. I’d approach this using Playwright for browser automation because it’s faster than Selenium in headless mode and easier to switch between visible and headless when debugging. The biggest improvement will come from isolating account sessions and randomising delays per profile. To reduce risk, I’ll structure the code so changes stay small and each account’s actions are logged separately—easy to review or adjust later. The goal is a system that runs smoothly without constant tweaking while keeping your accounts safer from throttling. If the workflow makes sense, I can start right now. Thanks, Denis

@emilesd617

Hi, I am a Python developer with 8 years of rich experience in software development. I am familiar with Python, Selenium, Playwright, Web Scraping, Automation, Data Processing, APIs, and Software Architecture. I can build a clean and extensible automation script that loads profile URLs from CSV/TXT files, supports multiple LinkedIn accounts with TOTP-based 2FA, applies configurable delays and randomized pauses, and logs every action. I would use Playwright for reliable browser automation with both headless and visible modes for easy debugging. I'm an individual freelancer and can work on any time zone you want. Please contact me with the best time for you to have a quick chat. Looking forward to discussing more details. Thanks. Emile.

@teodorgeorge

Hello, I can create a Python command line tool for LinkedIn profile URLs, multiple credentials, and TOTP handling. The Automation flow can use Playwright with visible and headless modes, plus clean logs for each account and profile. I would keep the Software Architecture simple, with separate config, runner, browser, and logging modules. Delays, random pauses, skipped profiles, and success results will be easy to review and adjust. No Java dependency is needed unless you want a related helper later. Best regards, Teo

@godesignpk

Hello, I can help build your LinkedIn mass connection script using Python and Selenium for reliable browser automation. The script will support multiple accounts with credential rotation, configurable delays for safe rate limits, and logging of connection attempts in CSV format. It will run headless by default but allow visible mode for troubleshooting, with clean, well-commented code ready for future extensions. This approach ensures smooth, human-like activity to reduce throttling risk while giving you control over accounts and targets. I will provide clear setup instructions for dependencies and running the script from the command line. Do you have any preferences on handling 2FA beyond TOTP generation, or should the script prompt for codes if needed? Best regards, Waqas & GoDesign Team

@dataspro

Nice to meet you , It is a pleasure to communicate with you. My name is Anthony Muñoz, I am the lead engineer for DSPro IT agency and I would like to offer you my professional services. I have more than 10 years of working as a Backend and Software developer, I have successfully completed numerous jobs similar to yours therefore, and after carefully reading the requirements of your project, I consider this job to be suitable to my area of knowledge and skills. I would love to work together to make this project a reality. I greatly appreciate the time provided and I remain pending for any questions or comments. Feel free to contact me. Greetings

@irfanui

Hi, I reviewed your project: LinkedIn Mass Connection Script. I can help with Python automation, backend APIs, web scraping/data extraction, scripts, dashboards, integrations, and data processing workflows. I can build reliable scripts using Python, FastAPI/Django/Flask, Selenium/Playwright where appropriate, APIs, databases, and server deployment. Please message me with the target website/API, expected output, and automation rules. Portfolio: https://www.freelancer.com/u/irfanui Regards, Mohammad 4th Dimension Partners

@techsty2014

Good to see this project, We will build your LinkedIn bulk connection script in Python with Playwright: multi-account rotation, TOTP 2FA handling, configurable delays with randomised pauses, and CSV logging per account. For safety, we will fingerprint each browser session separately so LinkedIn does not link your accounts together. Headless by default, visible mode via a single flag. A couple of quick things to confirm: 1) How many accounts will rotate in a typical run? 2) Do you need proxy support per account? The number quoted here is a starting estimate. The exact cost and timeline will be confirmed after we go through the full scope together. Looking forward to your response. Best regards, Faizan

@AndrewJSMAN

I’ve built LinkedIn automation tools before—handling multi-account LinkedIn sessions, rate-limited bulk actions with logging—so this is straightforward. I’ll use Playwright for reliable headless/browser-mode automation with built-in wait handling and network resilience. Credentials will be parsed from `mail:password:2fa_secret` per account, TOTP generated via `pyotp`, with randomized delays between 5–15s and configurable jitter. The script will read target URLs from a CSV/TXT, log attempts to a CSV with timestamps and status codes, and include a `--headed` flag for debugging. You’ll get a single-file Python 3.10+ script with no external services—just install `playwright` and `pyotp`, run `playwright install`, and execute via CLI. I can outline the CLI syntax and log format once we sync on the credential input format. Thanks, Andrii.

@Lincolnwhiz

Drawing from the substantial cybersecurity background ensconced in my MSc degree as well as my proficiency in both full-stack development and marketing automation, I'm confident that I can design and implement an efficient, secure and scalable script that does exactly what you need: handles multiple LinkedIn logins, maintains human-like activity rates and logs results precisely. In conclusion, the skillset I bring to the table embodies a deep understanding of digital processes specifically designed for enhancing operational efficiency while mitigating common roadblocks. Hiring me for this task is like hiring someone who isn't just writing code but someone who's invested in long-term success. I'm all about delivering end-to-end solutions that promote high-performance web systems; your LinkedIn Mass Connection Script is no exception!