Business Website Lead Scraper

@Microlent

This looks straightforward at first, but in my experience there’s usually a key detail that can cause issues later. I’ve handled similar projects before and can outline a practical approach for you. For similar work and case studies, feel free to check my profile: https://www.freelancer.com/u/Microlent Let me know if you I'd like me to walk you through the plan. – Rajesh Rolen

@belalihabibullah

Dear sir, I can start to work immediately. INBOX ME FOR SAMPLE. I am Habibullah B. I offer professional and reliable B2B lead generation and data entry services. Where I am able to provide you 100% verified email list, LinkedIn lead generation, business leads, social media link, website URL, company information etc. I assure you with my 7 years of experience that I am an expert in B2b lead Generation service and Data entry operation. I have lot of success story where I achieve tips and good feedback from my satisfied clients. Client satisfaction is my first goal. Let's stay with my service and get your dream touch with me. Thanks, Habibullah B

@intelliresponse

Hi, I reviewed your requirements and understand the goal is building a **repeatable contact extraction pipeline**, not just scraping a one-time list. The solution needs to reliably turn business URLs into structured leads while handling inconsistent site layouts, validating outputs, and remaining easy to rerun as new domains are added. I have experience with Python automation, scraping workflows, and structured data extraction. I’d focus on **modular extractors, validation, duplicate prevention, and maintainable configuration**. I can help with: • Contact extraction (company, email, phone, address, contact person when available) • Email/phone normalization & validation • CSV/Excel export with duplicate handling • Configurable scraping logic for new sites • README + setup instructions for Windows/Linux • Error handling, logging & rerunnable workflows Happy to review the test batch and confirm timeline based on site complexity.

@asifdwan

I can build a reliable lead-generation scraper that extracts company name, contact person, email, phone, and address from your supplied business websites into a clean CSV/Excel file. I typically use Python with BeautifulSoup/Scrapy and Selenium when needed for dynamic pages, with validation, deduplication, and reusable selectors so the scraper can easily be rerun as you add new domains.

@hiberokpars

Hello! I will create a PHP script to scrape data you need Please provide the details I have extensive experience in writing PHP scripts for data scraping Please see my reviews for reference.

@rivaakther651

Hello! I am an expert in scraping and am able to scrape contact information accurately. Please share the list of websites. Thanks

@rosscarter1011

Hi there, Are these target sites mostly static HTML, or do some load their contact details dynamically via JavaScript? Most basic scrapers fail because they miss deep sub-pages like /contact or get blocked instantly. I build resilient pipelines that handle dynamic elements and validate mail/phone formats on the fly using strict regex. Having built custom Python scraping scripts targeting major e-commerce platforms to automate pricing data collection, I know exactly how to structure this scraper to ensure 95%+ accuracy. NOTE: I'll deliver a free test batch first to verify the data. Plus, I include 4 months of free maintenance support. Let's chat.

@ukokab

With 10+ years of experience in automation and web development, I am confident that I have the skills necessary to create a solid solution for your business website lead scraper. I am highly proficient in data extraction tools such as BeautifulSoup, Scrapy, and Selenium - these are precisely what we need to pull information from different websites efficiently. My sound knowledge of Python combined with my proficiency in API integrations, Excel VBA/Google Sheets automation, and web scraping aligns perfectly with your project requirements. As part of my process, I will ensure the solution runs reliably and respects scraping etiquette. Moreover, for added convenience and future scalability, I can provide either a lightweight app or a working script with clear setup notes. Alongside this, I will deliver a well-structured CSV or Excel file containing all the valuable contacts concerning each business URL you provided. In addition to my technical abilities, my demonstrated ability to save time and cut errors with smart automation across businesses showcases my aptitude for taking on projects like yours. Offering proven results and a bug‑free service backed by automated + manual testing, let me lessen your heavy workflow by providing you with efficient, quality-controlled leads. Thank you for considering me for your project; I look forward to the possibility of working together!

@walterm021

Hello, Your main challenge is turning a supplied list of business URLs into clean, deduplicated leads with validated emails, phone numbers, company names, contact names, and addresses at a 95%+ success rate. I’ve spent the last 4 years solving exactly this type of web scraping and data extraction problem using Python, BeautifulSoup, Scrapy, and Selenium for sites with dynamic content. I will build a rerunnable scraper that detects key contact patterns, handles static and JavaScript-rendered pages, normalizes and validates email/phone formats, removes duplicates, and exports the results to CSV/Excel. I’ll also include a clear README with setup steps for Windows/Linux and notes on how to add domains or adjust selectors for new site structures. I can start with your test batch first to confirm field coverage and refine extraction logic before scaling to the full list. Best regards,

@craigd43

With a comprehensive background in data mining, web scraping, and python programming, I am confident in my ability to deliver a reliable and efficient solution for your business website lead scraping needs. Specifically, my experience using Scrapy and BeautifulSoup aligns perfectly with the tools you want employed for this project. Additionally, my meticulous approach to validating data from standard formats ensures minimal errors and duplicates. I understand the value of saving time while building prospect lists which is why I will deliver a robust script or lightweight app running seamlessly on both Windows and Linux platforms. My codes are created with longevity in mind - they can be easily tweaked or extended to incorporate new domains as your need evolves. What ultimately sets me apart is my dedication to not only meeting but exceeding client expectations. In every project, I bring a results-driven approach, prioritizing efficiency, scalability, and user-friendliness. Partnering with me guarantees an optimal experience from start to finish; on-time delivery of high-quality work that aligns precisely with your vision and surpasses your requirements. Let's discuss your project in detail and get started without delay!

@marjanahmed13

Hi! My name is Marjan and I'm here to offer you my services as a skilled applicant with over a decade of experience working on Freelancer.com. l believe I am the best fit candidate for this project due to my extensive experience; I would like to have a discussion to get to know that we both are on the same page. Once the scope will be locked, I will start working on it right away.

@pedrowilberthr2

Hello, I can build a reliable lead scraper that converts each URL into a clean lead row with company name, contact person (if available), email, phone, and address. I’ll use a robust Python stack (BeautifulSoup, Scrapy, or Selenium as needed) to handle both static and dynamic pages, and I’ll implement respectful scraping etiquette (rate limits, sane headers, and retry logic) so the workflow is repeatable whenever you add new domains. Deliverables include: - A portable script or lightweight app that runs on Windows or Linux with clear setup notes - A CSV or Excel export containing one lead per row - A concise README showing how to add more sites and adjust selectors Quality and reliability are central: I’ll target at least 95% success on the provided batch, ensure no duplicate rows, and validate emails and phone numbers to standard formats. The solution will be modular and easy to re-run for future domains, with clean logging and an option to export to CSV/Excel. Thank you for the opportunity, eager to get started once you share your tooling preferences and any constraints on the target sites.

@josep438

Hi! With my extensive experience as a senior full-stack developer, I am proficient in Python and have worked with robust web scraping frameworks such as BeautifulSoup and Scrapy - all tools you've expressed comfort with. I fully understand the importance of delivering precise and accurate results when scraping leads, ensuring no duplicates and validating data to standard formats. An optimally designed script or a lightweight app that can run on Windows or Linux is well within my wheelhouse to deliver. Thanks

@adityabhalsod007

Hi, This is a project I can help you complete efficiently and reliably. I understand that you need more than just scraped data—you need a reusable solution that can consistently turn business websites into clean, validated lead records with minimal manual effort. As a Python developer, I would build a robust scraping pipeline using the most appropriate tools for the target sites, including BeautifulSoup, Scrapy, and Selenium when dynamic content is involved. The system will automatically extract company names, contact details, email addresses, phone numbers, and publicly available addresses while handling duplicates and validating output formats before export. Deliverables will include: • Production-ready Python script or lightweight application • CSV/Excel export with one business per row • Email and phone validation checks • Duplicate detection and removal • Clear setup instructions and README documentation • Easy process for adding new domains in the future I recommend starting with your test batch first, allowing me to analyze site structures and verify extraction accuracy before scaling to the full list. This approach helps ensure we achieve the 95%+ data capture target while maintaining reliability. Send me the sample websites, and I can review them immediately and provide an accurate timeline for delivery. Best regards, Aditya

@jsclark1085

Hello, As an experienced full-stack software engineer, my passion for clean, scalable solutions aligns perfectly with your project's needs. With a decade of professional experience under my belt, I've gained a profound understanding of modern technologies like Python and related frameworks such as BeautifulSoup, Scrapy, and Selenium--embracing the perfect stack for your business website lead scraper. My proficiency isn't just limited to building engines for data scraping, but extends to building complete ecosystems around them. I can ensure a reliable, powerful, maintainable solution that respects scraping etiquette. Additionally, my familiarity with more mature frameworks such as React, Node.js and my deftness with databases like PostgreSQL and MongoDB community will definitely give an edge to the quality of the final product What sets me apart? Full ownership is what I bring to the table. From system design and architecture to development, testing, deployment, and optimization, I can guarantee every aspect of your business website lead scraper meets its best potential. My vast experience in working with massive datasets will also be valuable in ensuring no duplications occur and validating emails and phone numbers to standard formats. Let's make this happen! Contact me anytime or view my previous work at [portfolio link] Thanks!

@enricos0

Hi there, I’ve handled several projects that involved automated data extraction and know how crucial it is to deliver clean, professional, and user-friendly outputs that clients can trust. Your need for a seamless and integrated scraping solution that respects good etiquette is something I’m well-versed in, and I’m confident I can exceed your expectations. I noticed you want a script or lightweight app running on Windows or Linux, capturing company names, contacts, emails, phones, and addresses, with validated fields and no duplicates. That clarity helps ensure the end product aligns perfectly with your vision for automated, reliable lead generation. I specialize in Python automation using BeautifulSoup, Scrapy, and Selenium, focusing on fast, maintainable code. I’m the right person because I commit to speedy communication, fast turnaround, and ensuring you’re satisfied enough to come back for more. I am available for a quick chat! Regards, Adam Faustino

@khadijaamin9

Hello, I’d be delighted to help you with Business Website Lead Scraper. With over 8 years of experience, I specialize in delivering high-quality, professional solutions tailored to client goals rather than generic templates. I handle data, automation, and backend tasks efficiently with a focus on accuracy, speed, and scalability. I’d love to discuss your project in more detail and get started right away. Best regards, Khadija Amin freelancer.com/u/khadijaamin9

@codeandcommand

For building your prospect list, I would write a Python scraper using Scrapy with Selenium as a fallback for JavaScript-heavy pages, pulling business name, email, phone, and address into a clean CSV or Google Sheet. Can start today and have a working first batch ready within 48 hours. The bid reflects what is in the description. Final scope depends on which sites or directories you need scraped, and the number may adjust once we walk through that. Want to jump on a quick call?

@Zeemeeservices

Hi There, I can help you build a reliable lead-scraping solution that converts each URL into clean, usable leads (company name, contact person, email, phone, and address) and outputs a ready-to-use CSV, with validation and deduplication to meet your acceptance criteria. I’ve implemented Python-based crawlers with BeautifulSoup, Scrapy, and Selenium for B2B lead generation, handling data normalization, and export formats for Windows or Linux environments. For your project, I will design a robust, repeatable scraper workflow, ensure responsible scraping etiquette, validate emails and phones, remove duplicates, and provide a lightweight app or script plus a README that makes it easy to add new sites and adjust selectors for future batches, so you can scale quickly. Could you share the starting list and any preferred CSV schema or field mapping so I can tailor the extractor to your workflow? Could you share the starting list and any preferred CSV schema or field mapping so I can tailor the extractor to your workflow? Best regards, Daniel