Geo-Split Lead Scraper MVP

@LiveExperts

Hello, As an experienced freelancer equipped with a wide range of skills encompassing Data Extraction, Data Processing, Python, and Web Scraping among others; I am confident our team at Live Experts is the right fit for your project. Not only do we understand the intricacies of geo-splitting searches and building reliable scraping backbones - like the use of Apify in your case- we are also adept at transforming raw data into actionable intelligence. Our ability to 'feel' and write data through APIs using tools such as OpenAI aligns perfectly with your needs for SEO-friendly, concise descriptions for CRM filling. This commitment to clean, maintainable code; a repeatable deployment process, and absence of 'brittle, one-off scripts' is engrained in our work culture. In addition to using n8n or straight Python for orchestration logic as you prefer, our fluency in other relevant technologies like Linux, Bash, Docker and our experience in working with Big Data systems including Hadoop or Spark gives us an added advantage in successfully executing this and related projects. We would love to have a detailed look at your requirement document which will help us gauge the scope precisely and provide you a competitive quote. It has been great reading your project description as we relish and efficiently solve challenges just like these. We look forward to discussing this exciting endeavor with you soon! Thanks!

@justmian876

As an experienced Full-Stack Developer and the Head of BN-Droids Digital, I lead a team that specializes in efficient web scraping and data extraction with over five years of industry experience. Our work has demanded us to delve deep into geographically-specific scraping to extract over a million data entries daily, making us aptly equipped to handle your construction-sector lead scraping project in Italy and Spain.

@intelliresponse

As a seasoned Python developer with significant experience in web automation and scraping, I'm confident that I can efficiently and effectively build a powerful lead scraper that aligns precisely with your requirements. My expertise includes deep knowledge of the Apify scraping backbone, Python-driven orchestration logic, and working comfortably with n8n. But I'm also adaptable and more than willing to incorporate any alternative approaches if they enhance the project in terms of speed or robustness. With over a decade of tackling diverse projects requiring intermediate to advanced level web scraping skills, I've learned that creating clean, maintainable code and establishing a repeatable deployment process are paramount to reducing the chances of brittle one-off scripts. Specifically, regarding your needs for construction leads in Italy and Spain without triggering Google Maps' limitation, my tailored approach has proven to deliver consistent results while maximizing efficiency. Combining my wealth of experience in building customized python web automation solutions and my knack for delivering high-impact results, choose me for this project and you won't regret it. Let's work together to create geo-split lead scraper MVP that not only meet but exceed your expectations.

@Herculesz

Hi The core technical challenge here is bypassing Google Maps’ result limits without data loss while keeping scraping stable, compliant, and repeatable across regions. I solve this by implementing deterministic geo-splitting logic combined with Apify-based crawlers to ensure full business coverage by city and ZIP code. The pipeline extracts structured fields from Maps, then follows company domains to harvest additional emails and VAT numbers using resilient HTML parsing. Page content is processed through the OpenAI API to generate concise, SEO-ready business descriptions suitable for direct CRM ingestion. The orchestration layer is built in Python or n8n with clear separation between scraping, enrichment, and export stages. Outputs are normalized to CSV and JSON with schema consistency to support automation and downstream workflows. The codebase is designed for maintainability, redeployability, and extension without fragile one-off scripts. Thanks, Hercules

@usmanbashir12100

Hi, I can build this lead-collection MVP exactly to your brief, with a focus on full coverage, data accuracy, and automation-ready outputs—without hitting Google Maps’ 120-result ceiling. How I’d implement it: Geo-splitting logic (city / ZIP / grid-based) to exhaustively surface all businesses Structured scraping of Maps results (name, address, phone, exposed email) Automated crawl of company websites to extract: Additional emails VAT numbers OpenAI-powered processing to generate concise, SEO-friendly company descriptions Clean exports to CSV / JSON n8n-friendly output (webhook or file-based ingestion) Tech approach: Node.js or Python (robust scraping & async handling) Proxy & rate-control strategy to ensure stability Modular pipeline so countries, sectors, or fields can be extended later I’ve built data-extraction + enrichment pipelines like this before and focus on coverage, repeatability, and clean downstream integration—not one-off scripts. Happy to review your technical brief and confirm timeline quickly.

@nikhilgarg96

 Hello, I am really excited about the opportunity to collaborate with you on this project! It aligns perfectly with my skill set and experience, and I’m confident I can contribute meaningfully to your vision. I genuinely enjoy working on projects like this, and I believe we can create something both functional and visually engaging. Please feel free to check out my profile to learn more about my past work and client feedback. I’d love to connect and discuss the project details further your goals, expectations, and any specific features or ideas you have in mind. The more I understand your vision, the better I can bring it to life. I am ready to get started right away and will put my full energy and focus into delivering quality results on time. My goal is not just to complete the project, but to exceed your expectations and build a long-term working relationship. Looking forward to hearing from you soon! With regards! Nikhil

@koolvishruth

Hello, I am available immediately and worked here with more than 7 years of experience . I am Data Scraper with 7 years of experience. I will use Zapier for automation to get this done quickly and apify for backbone.

@corpmember29

HELLO, I have read your requirements carefully and fully understand the scope of the Edilnet Lead Generation MVP. With 10+ years of experience in automation, Python scripting, n8n, and AI integration, I can build a robust system that: Scans Google Maps across Italy and Spain, bypassing display limits via granular postal code searches. Extracts complete company data (name, address, phones, website, email, logo) with deduplication. Visits company websites to enrich data with emails, VAT/CIF numbers, and content. Uses AI (GPT-4o-mini or similar) to generate SEO-optimized, language-specific company descriptions (~300 characters). Outputs a clean Excel/CSV/Sheet with all required fields and calculated contact status. I WILL PROVIDE 2 YEARS OF ONGOING SUPPORT, complete source code, and work with agile methodology, assisting from zero to deployment on your self-hosted n8n instance, including proxy rotation, API integrations (Apify, OpenAI), and full testing. I eagerly await your positive response. Thanks

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@abhisyc70

I've delivered 15+ scraping projects on Freelancer.com with 100% satisfaction and a 5.0 rating. Your geo-splitting approach for Italy and Spain is the right way to bypass the 120-result ceiling. I understand the bottleneck isn't just extraction, but the enrichment-harvesting VAT numbers and emails from external sites while using OpenAI to generate CRM-ready descriptions. I will architect a robust pipeline using Apify or Python that iterates through geo-targets, visits business sites to extract hidden data, and passes the text through OpenAI for structured SEO content. The output will be clean JSON/CSV formatted for n8n. I hold a 6.4/10 earning rating with a 5.0 star rating across just 15 projects, proving I deliver high-value, production-grade work. I spent 5 years building a complex UK PropTech platform, so I’m well-versed in handling large datasets. I can start immediately and provide daily updates. Once you share the brief, I can refine the logic. I've attached a dashboard from a previous scraper. Happy to discuss details whenever you're ready.

@maximg10

⭐Hi, I’m ready to assist you right away!⭐ I believe I’d be a great fit for your project since I have extensive experience in data processing, API development, automation, and web scraping. My proficiency in technologies like n8n, Python, and data extraction ensures efficient and effective project execution. I have successfully implemented similar solutions that involved geo-splitting searches, capturing essential company information, extracting emails and VAT numbers, and integrating API services for SEO-friendly content generation. My focus on clean, maintainable code and repeatable deployment processes align with your project requirements. This project will solve the pressing need to collect construction-sector leads in Italy and Spain while overcoming Google Maps' limitations. By automating lead scraping and data processing, we can ensure a seamless flow of information into your CRM for enhanced productivity. If you have any questions, would like to discuss the project in more detail, or would like to know how I can help, we can schedule a meeting. Thank you. Maxim

@denisSolution

Hi client, I’ve carefully reviewed your job description and have strong experience in these Data Extraction, n8n, Automation, Web Scraping, API Development, Python and Data Processing. I can build a reliable web scraping solution tailored specifically to your needs. Whether using Node.js with Puppeteer/Cheerio or Python with Selenium/BeautifulSoup, I will extract, clean, and organize your data efficiently. I also handle anti-bot protections, pagination, and full automation as required. As you can see from my profile, my web scraping reviews are excellent, reflecting my commitment to quality work. I focus on writing clean, maintainable, and scalable code because I know the difference between 99% and 100%. If you hire me, I’ll do my best until you’re completely satisfied with the result. Let’s discuss your target website and preferred data format. Thanks, Denis

@quan9824

As a Full-Stack Developer with extensive experience in web scraping, Apify and n8n are familiar tools in my arsenal. Your project requires not just intermediate-level scraping expertise but also diligent orchestration and optimization of code for a robust, repeatable process - all of which I am adept at. I understood your need for an automated yet conscientious approach to source and harness leads beyond Google Map's 120 results ceiling in Italy and Spain. My expertise will allow me to "fan out" searches based on city or ZIP codes, extracting crucial details such as company name, address, phone numbers, VAT numbers and even emails - both visible and otherwise. Ultimately, my commitment lies not only in delivering on time but ensuring clean yet maintainable code is left behind for future use. Building a close working relationship with clients and being aware of their needs has been the cornerstone of my work ethic. I am excited about the prospect of starting this project with you!

@juanjosec63

Hello, I’m excited about the opportunity to help develop your MVP for collecting construction-sector leads in Italy and Spain. With experience in web scraping, automation, and data processing, I can create a robust solution that efficiently bypasses Google Maps’ result limitations while capturing all the necessary company data. I’ll implement geo-splitting to ensure comprehensive search results across cities and ZIP codes, and I’ll integrate scraping techniques to capture company names, addresses, phone numbers, emails, and VAT numbers. By passing website text through the OpenAI API, I can generate SEO-friendly descriptions, which will be seamlessly exported to CSV/JSON and linked to your CRM, with optional n8n integrations for downstream automations. I’m comfortable working with Apify and either n8n or Python to orchestrate the process, ensuring the code is clean, maintainable, and deployable in a repeatable manner. If this sounds like a fit, I’d be happy to review the requirement document, provide a more accurate quote, and start the project quickly. Best regards, Juan

@brayanstiven5

Hi Cristian G.. I am very excited with your project because I have completed similar project recently. The skills required for your project are my main specialty.(Data Extraction, Automation, Web Scraping, Data Processing, n8n, API Development and Python) I can handle this perfectly and have abundent experiences. Please confirm that I am one of the best fits for you and drop me a message for further discussion. Thanks and Best Regards.

@mattafareed4848

Hello I have carefully reviewed your project requirements and am confident in delivering a clean, maintainable, and fully automated solution to collect construction-sector leads in Italy and Spain. I can implement geo-splitting searches to bypass Google Maps’ 120-result limit, extract company details including name, address, phone, emails, and VAT numbers, and enrich the data using OpenAI API to generate concise, SEO-friendly descriptions. The output can be exported to CSV/JSON and integrated with n8n or a Python-based orchestration workflow for seamless downstream automation. I prioritize robust, repeatable code over one-off scripts and can suggest optimizations for faster and more reliable data capture while ensuring full compliance with best practices. Regards Muhammad

@shanec35

I’ve built lead-generation and scraping systems that bypass Google Maps result limits using geo-splitting by city, ZIP, and radius. I’ve used Apify actors and custom Python scrapers to reliably extract company data including name, address, phone, emails, and external website details. I’ve implemented secondary crawls to follow company websites and harvest hidden emails and business identifiers like VAT numbers. I’ve integrated OpenAI API pipelines to summarize scraped website content into clean, SEO-friendly descriptions ready for CRM use. I’ve delivered exports in CSV and JSON and connected them directly to n8n workflows for automation and enrichment. I focus on maintainable, well-documented code with repeatable deployments rather than fragile one-off scripts. I can align the scraper to Italy and Spain data nuances and ensure consistent output quality. I can start the project right now.

@abhisaini0188

Hello, Thank you so much for posting this opportunity. It sounds like a great fit, and I’d love to be part of it! I’ve worked on similar projects before, and I’m confident I can bring real value to your project. I’m passionate about what I do and always aim to deliver work that’s not only high-quality but also makes things easier and smoother for my clients. Feel free to take a quick look at my profile to see some of the work I’ve done in the past. If it feels like a good match, I’d be happy to chat further about your project and how I can help bring it to life. I’m available to get started right away and will give this project my full attention from day one. Let’s connect and see how we can make this a success together! Looking forward to hearing from you soon. With Regards! Abhishek Saini

@amazeez1100

Hi, As an experienced full-stack developer with a strong background in Python, I am confident in my ability to deliver clean, maintainable code for your lead scraping MVP using Apify or any other tool that fits your needs best. While I may not have direct experience with the construction sector, my flexible mindset and eagerness to learn allow me to adapt quickly to new domains. Alongside my technical depth in JS & Python, I'm proficient in various automation techniques including web scraping and data collection. Utilizing my 3 years of experience with similar projects, I can build a robust and efficient solution that captures the company name, address, phone number, email, VAT numbers, etc. while ensuring adherence to Google's usage policies. Hope your message