Service Leads Scraper via GitHub & Basic Training of the same

@indreshpnk

Hello, I understand you need to pull fresh service-based business leads from website search results using a GitHub scraper repo. The goal is to deliver a configurable, reusable solution that extracts service description, pricing, and contact details efficiently. Here’s what I can provide: Adapt and optimize the scraper to target your specified domain and extract required data accurately Structured output in CSV/JSON with clean, usable lead data Configurable setup so you can reuse the scraper for different websites without code changes I bring over 4+ years of experience in Python and web scraping, with a strong focus on building reliable, scalable, and user-friendly data solutions. I’ve worked on multiple scraping and automation projects across different domains, ensuring accuracy, performance, and maintainability. Just to clarify a few things: Will the target websites have pagination or dynamic content (JavaScript-based)? Do you need proxy/anti-block handling for continuous scraping? Please come to the chat box to discuss more about your project. Best regards Indresh Kushwaha

@ravik0072

Hi, I can help you adapt and optimize your GitHub scraper to reliably extract service data (description, pricing, contact details) in a structured format (CSV/JSON). I have experience working with web scraping, API/data extraction, and structured reporting, and I focus on making solutions clean, reusable, and easy to configure. What I’ll deliver: Customize your repo to target any domain/search results Ensure accurate data extraction + proper structuring Make scraper configurable (no code changes needed for new targets) Handle edge cases (missing data, dynamic content, etc.) Bonus: Step-by-step guidance + clear KT (Knowledge Transfer) Simple documentation so you can reuse independently I can start with a quick sample implementation to show results before full work. Let’s connect and get this working smoothly. Best regards, Ravi Kumar

@letswork92

I understand that you need a reliable solution for extracting fresh service-based business leads from public websites. The challenge lies in adapting the GitHub scraper while ensuring it captures essential data—service description, pricing, and contact details—efficiently and in a structured format. With over 12 years of experience, I specialize in web scraping technologies like Node.js, along with frameworks such as Playwright and Selenium that can facilitate this process. My approach will involve customizing the repo to make it domain-configurable, allowing you to easily fetch data from new sources without altering the core code. Here are the suggested steps for your project: 1. Review the provided GitHub repo. 2. Adapt the scraper for your specified target domain. 3. Implement configuration options for dynamic domain targeting. 4. Validate data extraction and ensure output formats (CSV/JSON) meet your needs. 5. Provide comprehensive knowledge transfer (KT) sessions to empower you with operational use. Could you clarify which specific domains or types of services you're interested in scraping initially?

@rafaelb03

Hi there, I'm confident I can deliver exactly what you need. I've built similar scrapers before using Playwright and BeautifulSoup. I know how to handle dynamic content, pagination, and anti-bot measures. What I understand: -You have a GitHub scraper repo (which you'll share) -You need help to configure it to crawl a target domain -You want to extract: service description, pricing, contact details -Output in CSV or JSON -Configurable so you can point it to any website without touching code What I will deliver: -Functional scraper – adapted from your repo to work on your target domain -Structured output – clean CSV/JSON with all 3 data points -Configurable setup – change target URL and CSS selectors via a simple config file, or a nice interface by your choice. -Documentation – step-by-step KT so you can run it yourself anytime Let's make it work!

@antonp02

Hello Client, I’ll deliver your lead-scraping project with precision and efficiency, ensuring smooth performance and error-free extraction of service descriptions, pricing, and contact details. You’ll receive clear documentation, setup instructions, and a walkthrough so you can easily maintain and update the scraper for new domains. My past work includes stable data pipelines and adaptable scrapers that saved clients time and reduced errors. I focus on practical solutions, fast delivery, and professional communication—making sure your requirements are met without complications. I’m ready to start immediately and can adapt to your timeline. Let’s connect today and move your project forward with confidence. Regards, Anton Prinsloo

@pratibhak83

Hi! I understand you need to adapt your existing GitHub scraper to extract service descriptions, pricing, and contact details in a clean and reusable way. I can help you modify the scraper to work with your target domain and ensure the output is well-structured in CSV/JSON format. I will keep the code simple and configurable so you can easily reuse it for different websites without changing the core logic. I will also provide clear step-by-step instructions (KT) so you can run, update, and reuse the scraper independently. I focus on clean, reliable results and clear communication throughout the project. I’m ready to start once the repository is shared and a milestone is created. Looking forward to working with you!

@madom1

Hi, I see your problem and I can help you fix it easily and faster just try me out and see, thank you.

@SkyDelegate

Hi, I reviewed your project and this is exactly the kind of work I do. You need someone to adapt an existing GitHub scraper to extract service descriptions, pricing, and contact data — clean, targeted extraction with no bloat. Here is what I will deliver: Fork and modify the target GitHub repo to pull the specific fields you need (service description, pricing, contact info) Handle pagination, edge cases, and output to CSV or Excel — whichever you prefer 30-minute walkthrough/training session so you understand how to run and adjust it yourself Commented code so future modifications are straightforward My stack: Python, requests, BeautifulSoup, pandas — the standard toolkit for this kind of job. I have built several scrapers of this type and can move fast. $30 covers the full build and training. Delivery in 24–48 hours. Feel free to message me with the GitHub repo link and the exact fields you want extracted — I can confirm scope within a few hours and get started immediately. Looking forward to working with you.