Las Vegas Resume Scraper

@imraz2016

Hi There, I have strong experience with Python-based web research, data extraction, deduplication, and CSV/Excel automation. I can build a configurable tool for Las Vegas candidate research that collects publicly available professional information, work history, and contact details where the source legitimately exposes them. I’ll structure the script so city and keyword filters can be changed easily, log blocked/login-required pages instead of forcing access, remove duplicate candidates, and export matching CSV and Excel files with clear source tracking. I can also provide regular progress updates and make the project easy to run from a local coding environment such as Claude Code or GPT-assisted development. I’m ready to start immediately and can first test the workflow on a small sample across the available public sources.

@livegoodlife

Hello there, I am experienced in web scraping and building scripts or a Windows desktop application using Python. I am also experienced in large data scraping from a given website, bypassing IP, Captcha, and anti-bot or cloud flair protection. Please message me to discuss this project in detail. Best Regards Enamul

@ZohaibRoy

⭐⭐⭐⭐⭐ Collect Las Vegas Resumes Automatically from Various Job Boards ❇️ Hi My Friend, I hope you are doing well. I reviewed your project requirements and see you are looking for a solution to automatically collect resumes from various platforms. You don’t need to look any further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for resume scraping. I will create a robust script using Python with tools like Scrapy and BeautifulSoup to gather the required data efficiently while respecting site rules. ➡️ Why Me? I can easily do your resume collection project as I have 5 years of experience in web scraping, data extraction, and automation. My expertise includes working with Python, handling CAPTCHAs, and ensuring data accuracy. Additionally, I have a strong grip on technologies like Selenium and data storage solutions, ensuring a smooth process for your project. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. I look forward to discussing this with you in our chat. ➡️ Skills & Experience: ✅ Python Programming ✅ Web Scraping ✅ Data Extraction ✅ Scrapy Framework ✅ BeautifulSoup ✅ Selenium ✅ CSV and Excel Handling ✅ Data Cleaning ✅ Error Handling ✅ API Integration ✅ Automation ✅ CAPTCHAs Handling Waiting for your response! Best Regards, Zohaib

@ShaikhAneesa

Hi There, I have thoroughly reviewed the project requirements for the Las Vegas Resume Scraper and I understand the need for a robust script to collect publicly available resumes for Las Vegas-based candidates from various platforms. Let's chat and discuss it further. To handle your project, I will start with developing a Python script using Scrapy and BeautifulSoup for web scraping. I will ensure the script avoids detection, respects rate limits, and gracefully handles CAPTCHAs or login requirements. Additionally, I will incorporate a simple configuration for easy adjustment of city or keyword filters. The deliverables will include a clean CSV file, an Excel workbook with scraped records, source code with setup instructions, and a log/report detailing sites accessed and total resumes captured. Before signing-off my bid, I would like to ask a question, i.e., do you have any specific preferences for additional niche sites to scrape resumes from? Cheers, Aneesa.

@TanvirKhanPaple

Hi there! Project is very clear to me and I can build a reusable Python scraping solution for approved public sources, with configurable location and keyword filters, CSV/Excel output, deduplication, and clear logs. I can also provide the source code and setup instructions for Claude Code or GPT. Just message me I am ready to start now. Thank you.

@topcreator100

Hello, As someone with a Bachelor's degree in Computer Science and extensive experience building web applications and scrapers using Python, I believe I'm the perfect fit for your Las Vegas Resume Scraper project. My proficiency with Scrapy, BeautifulSoup, and Selenium allows me to build powerful scrapers while respecting rate limits and avoiding detection. I understand the importance of clean code and clear communication - skills that will be invaluable as I work on this project and provide you with regular updates as requested. Additionally, I am adept at handling CAPTCHAs or login requirements smoothly as part of the scraping process. My experience in database design, performance tuning, and scalability will also come in handy for this project, ensuring your scrapped data is managed efficiently. With my commitment to on-time delivery without compromising on quality, I am confident that I can not only provide you with a 100% complete Las Vegas Resume Scraper but also the support you need throughout its functioning. Let's connect and discuss your goals and timeline further! Thanks!

@kelvinm094

Hello I have thoroughly reviewed your Las Vegas Resume Scraper project and I’m confident I can deliver a robust, scalable data-mining oriented solution tailored to open-role resumes across multiple sites. With hands-on experience in data collection and web scraping, I will implement a configurable Python stack using BeautifulSoup, Selenium, and optionally Java-based tooling to bypass simple anti-bot measures while respecting rate limits. The script will extract name, phone, email, and at least one work-experience field, deduplicate records, and export clean CSV and Excel files. The configuration will allow you to adjust city/keywords without touching code. I will provide clear source code with setup instructions (README) and a concise run log covering sites accessed, total resumes captured, and any blocks encountered. Deliverables will be produced in 2 days on a fresh machine with standard dependencies. Best regards, Freelancer

@NaderShehata

Hello sir, It seems that you want an automated Python-based scraper that collects publicly available Las Vegas resumes from Indeed, LinkedIn, Glassdoor and other open sites, exporting each profile's name, phone, email, and work-experience into CSV and Excel. I will build a configurable Python solution (Scrapy + Selenium where needed, with BeautifulSoup for parsing) that applies location filters, de-duplicates records, handles rate limiting, and logs blocked pages and errors. The code will include a small config file for city/keyword filters, a README for setup, and routines to export a clean CSV and identical Excel workbook. We can scrape any site or automate a website using Selenium or Scrapy and export data to Excel or a database. Portfolio: https://www.freelancer.com/portfolio-items/7992622-web-data-scrapping Can you share more details about the project, such as: 1. Do you have accounts or credentials for LinkedIn/Glassdoor, or should I use public-only access? 2. Do you have a target volume (or should the scraper run until no new profiles found)? 3. Are CAPTCHA-solving services acceptable, or do you prefer paused pages logged for manual review? Based on the last points, we can decide the scope, timeframe, and budget. I would be happy to discuss your project further. I look forward to hearing from you. Thank you!

@denisSolution

Hi, It looks like the main challenge here is covering multiple sites reliably while keeping the scraper stable under their anti-bot measures. Getting clean, structured data out of Indeed, LinkedIn, and Glassdoor with no duplicates is the real test. I’ve built similar scrapers before, most recently one that pulled structured resumes from niche job boards and returned clean CSV/Excel with contact details. The tricky part was normalizing inconsistent profile layouts before deduplication, which I handled by focusing on clear name/email anchors first and then backfilling missing fields only if they’re present. I’d approach this by starting with a headless Chrome setup using Playwright for sites that need JavaScript rendering, but switching to lighter tools like BeautifulSoup where possible to keep resource usage low. The configuration file would let you tweak location filters without editing code; I’d also log blocked requests to adjust delays between retries. A real unknown is whether LinkedIn’s stricter anti-bot will require occasional proxy rotation or CAPTCHA solving. I’d start with standard delays and headers, then add small random delays if needed. The output would include a simple validation step to drop rows missing both phone and email so you don’t waste time on incomplete records. Thanks, Denis.

@Muhammadzeesha59

Hello Sir/MAM I am a Skilled Full Stack Developer. Having rich experience in Java , C++ , C , C# , Python , Eclipse , Sql , Mysql , .Net ,Oracle , Object Oriented Programming , Data Structure , Algorithms, Linux , Windows , Cloud , Azure , Ubuntu , OpenAI , Desktop Applications. Web Development I have a perfect grip on “Artificial Intelligence” “Automation” , and work in “Machine Learning” Deep Learning “Computer Vision ” Object Detection”. My track record as demonstrated in my 100% job completion and 5-star review rating showcases My ability to deliver exceptional results on time and with utmost quality I believe that my skill set makes me the ideal candidate for this project Please come on chat we will discuss more about this I will be waiting for your reply . Thanks and Best Regards

@muneeb6767

I can build a configurable Python-based data collection pipeline that gathers publicly available candidate information from permitted sources, removes duplicates, exports clean CSV/Excel files, and includes a README for running on Claude Code or GPT-assisted workflows. I’ll provide regular progress updates and a maintainable solution tailored for location and keyword filters.

@TeraByte26

Hi J, I will deliver a Python script scraping Indeed, LinkedIn, Glassdoor, and other sites for Las Vegas-based candidates, capturing name, phone, email, and work experience, with a clean CSV and Excel output, within your 30-250 USD budget, can I start now? Waiting for your response in chat! Best Regards.

@Olywebart

I will implement a Python-based scraper utilizing Scrapy and Selenium to gather resumes from Indeed, LinkedIn, Glassdoor, and additional sites dynamically. The solution will extract required fields and maintain data integrity by filtering duplicates efficiently. Configurable location and keyword filters will be embedded for flexible reuse without code changes. The output will be a clean CSV and Excel file, alongside a concise report logging coverage and errors, ready to deploy on Claude or GPT environments. What specific challenges have you encountered with CAPTCHAs or logins on these job sites recently?

@johnallenvillan1

Hi there, Your Las Vegas resume scraper needs reliable capture of name, phone, email, and experience across Indeed, LinkedIn, Glassdoor, and other open repositories without duplicate records or brittle runs. I’ve spent the last 4 years solving exactly this type of problem, including building Python crawlers that normalized mixed-profile data into clean CSV/Excel exports and handled retries, pagination, and deduplication at scale. The real risk here is not scraping pages, it’s maintaining consistent output across blocked pages, partial profiles, and changing markup while keeping the system configurable for city and keyword updates. I’ll build a small Python app with Scrapy plus targeted browser automation where needed, add configurable filters for Las Vegas and future locations, dedupe by identity and contact signals, and produce both CSV and Excel plus a concise run log. I’ll keep the code isolated, documented, and ready to run from a fresh machine with standard dependencies. Best regards, John allen.

@avijitdey239

Hi, I’m Avijit Dey, with nearly 10 years of experience in data research, web scraping, and B2B lead generation. I have strong expertise in Python, BeautifulSoup, Selenium, Scrapy, data extraction, cleaning, and Excel. I can efficiently collect and organize accurate resume data while handling common scraping challenges such as rate limits and dynamic websites. I focus on delivering clean, structured, and reliable data with quick turnaround and clear communication. I’d be happy to discuss your Las Vegas resume scraping requirements and get started. Best regards, Avijit Dey

@trm66614

I’m excited to assist you in building a robust resume scraper that meets your needs for Las Vegas-based candidates. Leveraging technologies like Python with Scrapy and BeautifulSoup, I will design the solution to automatically collect publicly available resumes from platforms like Indeed, LinkedIn, and Glassdoor while respecting the rate limits and avoiding detection. I also propose including additional niche sites like Craigslist to maximize the data collection. Upon completion, you will receive a clean CSV file along with a corresponding Excel workbook, and the source code with a brief README for setup. To enhance utility, I’ll ensure the configuration allows easy adjustments to city or keyword filters according to your future requirements. Regular progress updates will be provided to keep you informed throughout the development process. Additionally, I am happy to utilize existing tools or datasets related to Las Vegas if available, as this could expedite our timeline significantly. What specific features are you most interested in for the resume scraper? Looking forward to collaborating with you on this exciting project! Best, Talha

@amrkhaled32

> "You want every publicly accessible Las Vegas resume in one dataset? That's a serious data job—not a Ctrl+C, Ctrl+V operation. Good thing I like serious jobs." Hi, I understand the requirement: build a configurable Python scraper that searches **publicly accessible resume/profile sources** for candidates in the greater Las Vegas area and produces a clean, deduplicated dataset containing: For **Indeed, LinkedIn, and Glassdoor**, I'll first determine what candidate/resume information is actually publicly accessible and permitted to collect. I won't bypass authentication, CAPTCHA, privacy controls, or technical restrictions to obtain non-public resume data. I'll also provide a run report showing: **sources checked → pages processed → candidates found → duplicates removed → records rejected → blocked/error pages.** One important point: I wouldn't promise "all Las Vegas resumes" from sites that don't expose all resumes publicly. Instead, I'll make the scraper as comprehensive as the legitimately accessible sources allow and clearly document the coverage. If you want a maintainable system rather than a one-off scraper that dies when a page layout changes, **this is exactly how I'd build it.** Let's get the data pipeline working first, then let it do the boring work.

@akgarg007

Subject: Experienced Python Developer for Las Vegas Resume Scraper - Ashwani Hi there, I'm Ashwani, a senior full-stack developer with over 12 years of experience, and I'm confident I can build the robust Las Vegas resume scraper you need. My expertise in Python, particularly with libraries like Scrapy and Selenium, makes me a great fit for this project. I understand the importance of avoiding detection and respecting rate limits, and I have a proven track record of building reliable automation systems. My plan is to develop a Python script using Scrapy for efficient data crawling. I'll leverage Selenium to handle dynamic content and potential CAPTCHAs. For location filtering, I'll implement robust keyword and location-based searches to target the greater Las Vegas area across Indeed, LinkedIn, and Glassdoor, with the option to add others like Craigslist if fruitful. I'll ensure all required fields (name, phone, email, experience) are captured and de-duplicated. I'll deliver a clean CSV and Excel file, well-commented source code with a clear README, and a concise log of the scraping process. I'm ready to start immediately and provide regular updates throughout the 7-day development period. Let's connect to discuss how I can deliver this for you.

@dataspro

Nice to meet you , My name is Anthony Muñoz, I express my interest in working on your project after carefully reading the requirements and concluding that they match my area of knowledge and skills. I am currently the lead engineer for the IT agency DSPro and I have more than 10 years of experience in the field. I have successfully completed a large number of similar jobs and I consider your project to be a challenge in which I would like to work and be able to make it a reality. Please feel free to contact me, it will be my pleasure to help you. I greatly appreciate the time provided and I remain attentive to any questions or concerns. Greetings