Phone Number Scraping Specialist Needed

@imraz2016

HI there already i have checked project details job is clear so please contact me then i will show you sample, thank you

@ZohaibRoy

⭐⭐⭐⭐⭐ Create a Targeted Database of Phone Numbers from Public Websites ❇️ Hi My Friend, I hope you are doing well. I've reviewed your project requirements and I see you are looking to build a fresh database of phone numbers from public websites. You don’t need to look any further; Zohaib is here to help you! My team has successfully completed 50+ similar projects focused on data collection. I will guide you on the best sources and utilize efficient methods like Python, Scrapy, and BeautifulSoup to gather accurate and up-to-date contacts. ➡️ Why Me? I can easily create your targeted phone number database as I have 5 years of experience in data scraping and collection. My expertise includes web scraping, data cleaning, and database management. Additionally, I have a strong grip on data processing tools and technologies like Selenium and API integration, ensuring a smooth and compliant approach to 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! ➡️ Skills & Experience: ✅ Web Scraping ✅ Data Collection ✅ Python Programming ✅ Scrapy Framework ✅ BeautifulSoup ✅ Data Cleaning ✅ API Integration ✅ Excel/CSV Management ✅ Database Management ✅ Error Handling ✅ Data Analysis ✅ Compliance with TOS Waiting for your response! Best Regards, Zohaib

@p4logics

Hello dear sir, We have more than 10 years of experience in web development and data scraping. Our team uses Python and scraping tools to collect fast and accurate data from public websites. We always use safe and ethical methods while scraping data. Our goal is to provide clean, correct and duplicate-free information for your project. You will receive a well-organized CSV or Excel file with phone numbers, source links and other available details. We also provide simple guidance for future updates. Looking forward to work with you. Thanks and Regards !! Deepak

@asifdwan

With considerable experience and focused expertise in data mining, Python automation, and web scraping, I'm the ideal candidate for your project. I've worked with thousands of websites, including ones protected by advanced anti-bot systems like Cloudflare and Incapsula - so I know my way around the most complex platforms out there. For data extraction, I use a range of powerful Python tools including Selenium, BeautifulSoup, Scrapy and Requests, and deliver results in multiple formats - CSV, Excel, JSON or database-ready according to your preference. I understand the importance of accuracy, deduplication and adherence to site's terms of service. Thanks to my meticulous approach and in-depth knowledge of web scraping best practices, I'll be able to extract clean and highly contextual data for you. Whether it's enriching your database with phone numbers from reputable online directories or leveraging other channels as per your need,I'll do it diligently while keeping a transparent note on my methodology for easy replication or further updates.

@sujonmax2

Hi, I have extensive experience scraping phone number from website, google map and online directory. I am using code scrape the phone. When are you ready message me discuses final......

@ShaikhAneesa

Hi there, I have thoroughly reviewed your project requirements for scraping phone numbers from public websites and directories. I understand the need for a targeted and accurate database, focusing solely on phone numbers initially. Let's chat and discuss it further. To handle your project, I will start with identifying the most reliable sources for phone number extraction based on the niches we choose together. I will utilize tools such as Python, Scrapy, BeautifulSoup, and Selenium to ensure efficient data extraction while adhering to each site's terms of service. The deliverables will include a well-organized CSV or Excel file with phone numbers, source URLs, and relevant contextual data. Additionally, I will provide detailed documentation on the methods used for data collection. Before signing-off my bid, I would like to ask a question, i.e., what specific niches are you targeting for this project? Warm Regards, Aneesa.

@Softeria

⭐⭐⭐⭐⭐ Proposal for Phone Number Scraping Specialist With a robust background in data scraping and expertise in Python, Scrapy, BeautifulSoup, and Selenium, I am ideally suited to develop a comprehensive database of phone numbers from public websites and reputable directories. I have a track record of extracting and organizing large datasets while adhering to legal and ethical guidelines, ensuring compliance with website terms of service. My approach includes advanced deduplication techniques to guarantee accuracy and a clean CSV or Excel output with detailed contextual data. I propose initially targeting industry-specific directories and local business listings, adjusting the scope as per our collaborative niche focus. Let’s outline a precise timeline and kickstart this project for optimal results.

@brashel

Dear Hiring Manager, I’ll build a clean, deduplicated phone database from compliant public directories using Python (Scrapy/Selenium), deliver CSV with sources + method notes. Accurate and transparent. Best regards, Siddiqur Rahman.

@mjanchi

As an experienced and dedicated freelancer, I understand the value of a well-targeted database and possess the skills to deliver on that demand. With an expertise in Data Collection, Mining, and Scraping using Scrapy among other tools, I assure you of my ability to source you accurate phone numbers from reputable online directories. My proficiency with Python, BeautifulSoup, Selenium and API access ensure I remain compliant with each site's terms of service while still delivering the quality you deserve. Over the years, my clients have praised my commitment to accuracy, deduplication and transparency during the whole process- all qualities I intend to bring to this project. Moreover, having worked extensively on similar web scraping projects such as Google Maps and Facebook Business Pages, I am confident in handling your data requirements effectively. Committing to efficient and timely delivery is crucial to me. Upon completion of this task, I will provide you with both a clean CSV or Excel file containing phone numbers along with any contextual data available including a note detailing how the data was gathered. Finally, let me assure you that I appreciate value and quality; thus in hiring me for

@hoangnn90

✅Full Experience in Web Scraping and Data Extraction with Python Programming(Selenium/BeautifulSoup)✅. ✳️I am very confident that complete your project perfectly. ✳️I can guarantee the quality of the job and deliver the result on time. I hope we will discuss in more detail via chat. Best regards!

@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 . I have a perfect grip on “Artificial Intelligence” “Automation” , and work in “Machine Learning” Deep Learning ”. 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

@durranigts

Hello, I can build a clean, targeted database of phone numbers using reliable public directories like Yellow Pages, Yelp, Google Maps, and industry-specific listings. I’ll use Outscraper with manual verification to ensure the data is accurate, deduplicated, and compliant with each site’s terms. You’ll receive a well-structured CSV/Excel file with phone number, source URL, and available context (company, website, email, and location). I can deliver an initial batch within 24–48 hours after confirming your niche.

@suganyav12

Hi there, Myself suganya hope you are doing good. I am clear with the instructions and happy to scrap the phone number details from targeted website. Could you please kindly let me know under which category of contact need to scrap. So that i can try to get available source. Thanks

@HiraMahmood4072

Hello, I have over 7 years of experience in Data Collection and Data Mining. I have carefully read your project requirements for scraping phone numbers from public websites and online directories. To accomplish this task, I will utilize Python along with web scraping libraries like Scrapy, BeautifulSoup, and Selenium. I will identify the most reliable sources to extract accurate and up-to-date phone numbers while ensuring compliance with all site terms of service. The deliverables will include a well-organized CSV or Excel file containing the phone numbers, source URLs, and relevant contextual information. Additionally, I will provide a detailed methods note outlining the data collection process for your reference. I am keen to discuss this project further and address any queries you may have. Please feel free to connect with me in the chat for a detailed discussion. You can visit my Profile here: https://www.freelancer.com/u/HiraMahmood4072 Thank you.

@johnallenvillan1

Hello, I see you’re looking to build a fresh, tightly focused database of phone numbers and you need guidance on selecting high‑yield public sources before scraping begins. I’ve handled similar data‑collection projects where I mapped niche‑specific directories and extracted verified contact numbers, delivering fully deduplicated CSV datasets with source attribution. I know the real challenge here is balancing data accuracy with ethical scraping practices. Many directories throttle or obfuscate numbers, so the key is choosing sites with predictable HTML structures or stable APIs, and designing scrapers that respect rate limits to avoid blocks. I’ll identify high‑return public directories, run targeted scrapers using Python with Scrapy and BeautifulSoup, and apply Selenium only for pages requiring dynamic rendering. I’ll also tag every number with its source URL and metadata, then run deduplication and validation before delivery. I’ll share a concise methods note so you can rerun or extend the workflow anytime. Best regards, John allen.

@rosscarter1011

Hi there, which niche are we targeting first? If it's local businesses, I’d suggest starting with G-Maps or Yelp, but for B2B, we should look at specific industry directories. I'll use Scrapy with rotating proxies to keep us under the radar and avoid IP blocks while staying within TOS. I'm Ross, a software engineer with over 6 years of experience. I have hands-on expertise in Python for automation and have a proven track record of delivering results, such as building a script that saved a client over 20 hours of manual work weekly. My process is simple: I'll send a sample of 50 contacts first so you can verify the data quality before the full run. You won't have to worry about cleaning or deduplication—I’ll handle the CSV formatting and data enrichment from A to Z. NOTE: To ensure your peace of mind, I stand by my work with 4 months of free support. I can start as early as today. Let's have a chat to dive into the details. Thanks!

@teodorgeorge

Hello, I can help you build a clean and accurate phone‑number database by scraping reliable public directories using simple Python tools like Scrapy or BeautifulSoup based on the niches we agree on. I focus on transparency and clean outputs, keeping everything deduped and clearly sourced. I’ll guide you on the best platforms to target and keep the process compliant while delivering an easy CSV or Excel file along with a short methods note you can reuse. Thanks, Teo

@mattafareed4848

Hello, I can build a clean, targeted phone number database from public, compliant sources using Python-based scraping and a structured validation process. The data will be fully deduplicated, verified, and delivered in a tidy CSV/Excel file with phone numbers, source URLs, and available context, along with a brief methods note. I can also share a small sample to confirm quality before proceeding. Best, Muhammad

@muneeb6767

an build a compliant pipeline sourcing phone numbers from trusted directories (e.g., Google Maps, Yelp, Yellow Pages), with validation, deduplication, and clean CSV/Excel output including source URLs + context. Using Python (Scrapy/BS4/APIs where allowed), I’ll ensure accuracy, ToS compliance, and provide a clear methods note for reproducibility.