AI Influencer Profile Scraper

@muneeb6767

I can collect a clean CSV of AI-focused Twitter accounts meeting your criteria (5k+ followers and multiple posts with 100+ likes/retweets), including each profile bio and direct link. I’ll use a compliant approach with Twitter API v2/safe scraping, strict filtering, and accurate validation before delivery.

@MQamar123

As an experienced software developer and data enthusiast, I'm thrilled at the opportunity to work on this AI Influencer Profile Scraper project. With in-depth knowledge of Python and data processing, I guarantee clean, well-structured results that meet your specified selection rules. Utilizing my web scraping skills, along with Tweepy and Twitter API v2 access, I'll gather around 1M plus profiles meeting your criteria of having a minimum follower count of 5000 with multiple posts having over 100 likes/retweets. My primary focus is on creating accurate and reliable solutions, respecting all necessary APIs' rate limits and terms of service. As a seasoned programmer, I'm quick on my feet when it comes to adopting new tools like ScraperAPI if needed. Given the scale of the project, I will execute it in an efficient manner without compromising accuracy ensuring that all your required data points -- public profile bios and direct profile links -- are captured for you ready to spot-checked prior to finalization. Choosing me means making use of my deep-seated foundation in programming and my commitment to meeting client's expectations - ensuring the end result is exactly what you require. Let's bring this project to life together!

@larsenm2020

With my comprehensive understanding of data extraction and processing, combined with strong Python and web scraping skills, I am your go-to expert for this AI Influencer Profile Scraper project. My experience in developing robust solutions to tackle real-world issues aligns perfectly with the task at hand. Rest assured, I am well-versed with reliable methods like Tweepy and Twitter API v2 for data collection, ensuring full compliance with Twitter's rate limits and terms of service. My top priority is accuracy in all my work, so you can count on me to deliver a clean, well-structured CSV file that fully meets your criteria. Furthermore, I understand how important it is that the profiles match your specific needs. Therefore, I will make sure to aptly employ the selection rules you provide including minimum follower count and relevant keywords. Additionally, my penchant for learning will ensure I familiarize myself with any other tools or techniques that might be necessary for the job. Choose me and I guarantee we'll create a comprehensive list of qualified influencers successfully!

@malkesh3m

⭐ Hello there, My availability is immediate. I read your project post on Python Developer for AI Influencer Profile Scraper. We are experienced full-stack Python developers with skill sets in: Python, Django, Flask, FastAPI, Jupyter Notebook, Selenium, Data Visualization, ETL AI/ML & Data Science: Model development, training & deployment, NLP, Computer Vision, Predictive Analytics, Deep Learning React, JavaScript, jQuery, TypeScript, NextJS, React Native NodeJS, ExpressJS Web App Development, Web/API Scraping API Development, Authentication, Authorization SQLAlchemy, PostgresDB, MySQL, SQLite, SQLServer, Datasets Web hosting, Docker, Azure, AWS, GCP, Digital Ocean, GoDaddy, Web Hosting Python Libraries: NumPy, pandas, scikit-learn, TensorFlow, PyTorch, etc. Please send a message so we can quickly discuss your project and proceed further. I am looking forward to hearing from you. Thanks

@bhartimalu

Hello, I have extensive experience in web scraping and data collection, particularly with social media platforms like Twitter. - Plan: 1. Define criteria for influencer accounts. 2. Use Python with libraries like BeautifulSoup and Tweepy for scraping. 3. Clean and structure data into a CSV format. - Tech Stack: Python, BeautifulSoup, Tweepy, Pandas. - Timeline: 1-2 weeks for completion, with regular updates. Choosing me means you’ll get reliable, high-quality results tailored to your needs. What specific criteria do you have for the accounts? Do you need any additional data points besides the account names? Regards, Bharti M.

@Hemantt841

With 7 years of experience in data scraping and AI-related projects, I am the best fit to complete this requirement. I have the relevant skills and expertise to deliver a clean and well-structured list of Twitter accounts that consistently post about AI. How I will complete this project: - Define selection rules based on minimum follower count, specific AI-related keywords, recent activity, etc. - Locate matching profiles and extract public profile bio and direct profile link per account. - Ensure accuracy and compliance with Twitter's rate limits and terms of service. - Deliver the data in a single CSV file, one row per influencer for easy analysis. Tech stack I will use: - Python for scripting - Tweepy for accessing Twitter API - ScraperAPI for web scraping - CSV for data storage and retrieval I have worked on similar solutions in the past, ensuring high-quality results and accurate data extraction. My experience and expertise make me the ideal candidate to successfully complete this AI Influencer Profile Scraper project.

@PrudhviData

As an Oracle Certified Associate and CS Engineer specializing in Python and high-volume data architecture, I will deliver a precision-engineered pipeline for 1M+ AI profiles. My approach utilizes Python (Tweepy/X API v2) with asynchronous processing to handle scale efficiently. I will implement a two-stage validation: filtering for >5,000 followers followed by a Pandas-driven engagement audit (100+ likes/retweets). Using NLP, I’ll categorize accounts into Open Source, ML, or General AI. With experience managing 5,000+ record datasets and complex EDA, I guarantee a clean, deduplicated CSV that prioritizes data integrity and strict adherence to rate limits.

@Vamsibheemuni886

Drawing from my extensive experience in data extraction and processing, I'm confident in my ability to deliver exactly what you're looking for with your AI Influencer Profile Scraper project. For starters, I'm highly efficient in using MS Office tools like Excel and Word, which will be invaluable for organizing the data into a clean, well-structured CSV file. Additionally, my proficiency in conducting web research and my proven track record in web scraping will ensure a technically sound process that aligns with Twitter's terms of service and rate limits. Accuracy is absolutely key for delivering high-quality results and I understand this at a granular level. That's why I always put considerable effort into verifying information against set criteria before delivering it. This approach gives me an edge when it comes to data-heavy projects like yours, where little-to-no error tolerance is involved. Lastly, one unique strength I bring to the table is my adaptability to new tools. Should there be any tweaks or shifts in the tools we use in the process - such as potentially transitioning to Twitter API v2 when it launches at scale - rest assured that I'll capably handle the change without compromising on accuracy or efficiency. To get started or for any further inquiries, please don't hesitate to reach out. Thank you for considering me for this task; I look forward to lending my skillset to your project.

@nnaik0158

I have carefully reviewed your project requirements. I understand that you need accurate and well-organized data entry work. I will complete the task with 100% accuracy and proper formatting in Excel/Word as required. I pay strong attention to detail and ensure error-free work. I am ready to start immediately and deliver within the given deadline

@Kelis05

Hey, Quick question have you considered using n8n for this Twitter scraping project instead of Python scripts? Here's why it makes more sense: Your Problem: 1M+ AI influencer profiles with specific criteria (5k+ followers, 100+ engagement) n8n Solution: → Visual workflow you can modify yourself → Change filters (follower count, keywords) without touching code → Re-run anytime for fresh data → Easy maintenance and updates → No hiring needed for future changes What I'll Build: Clean CSV with Bio + Profile Links | Filtered by your criteria | Categorized (Open Source, ML, General AI) | Complete n8n workflow for future use Why This Beats Scripts: Traditional Python script = locked in, hard to modify n8n workflow = you control everything with drag-and-drop You'll get the data you need NOW + a system you can use forever. Timeline: 7-10 days for 1M+ profiles Interested? Let's chat about your exact criteria and budget. Kelis Shekhaliya

@sks379

┌────────────────────┐ │ Flask API Layer │ │ (Rule Definition) │ └─────────┬──────────┘ │ ▼ ┌────────────────────┐ │ Job Queue (RQ / │ │ Celery + Redis) │ └─────────┬──────────┘ │ ▼ ┌────────────────────┐ │ Twitter API v2 │ │ (Search + Users) │ └─────────┬──────────┘ │ ▼ ┌────────────────────┐ │ Filtering Engine │ │ (Followers + │ │ Engagement) │ └─────────┬──────────┘ │ ▼ ┌────────────────────┐ │ Database (Postgres│ │ or MongoDB) │ └─────────┬──────────┘ │ ▼ ┌────────────────────┐ │ CSV Export Service │ └────────────────────┘this architecture is enough for start..i worked this kind project

@mohdtoheed164

Hi — this is a very interesting data collection and filtering problem. I can build a reliable Python pipeline that identifies AI-focused Twitter accounts based on your selection criteria (follower threshold, engagement signals, keywords, and recent activity) and exports the results into a clean CSV file. I have experience building web scraping pipelines, API-based data collection systems, and structured data processing workflows using Python. I’ll design the script so the filtering rules can be easily adjusted as you refine the criteria, and I’ll include validation checks to ensure accuracy before generating the final dataset. I understand that accuracy and consistency matter more than speed for this project, and I’ll ensure the output follows your requirements exactly.