Contact Info Scraper – $200

@mascotindia123

Hello, I am Harpreet Singh and I can build you a weekly automated B2B lead collection system that is stable, maintainable, and compliant with data-source policies. What I will deliver: Automated lead collector using approved sources like Google Places API Search by category + location (contractors, trades, local businesses, etc.) Extract business name, phone, address, website (where publicly available) Clean, structured Excel/CSV export Deduplication and basic data validation Automation: Weekly scheduled runs using Windows Task Scheduler or Cron Fully automated data export to Excel Simple configuration to change cities or categories Deliverables: Working Python/Node.js script Clean Excel output format Setup instructions for scheduling Well-commented source code for future edits Note: This approach avoids scraping blocked platforms and ensures stable, long-term data collection without bans or broken workflows. Timeline: 2–4 days Warm regards, Harpreet Singh

@imraz2016

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

@techplusintl

Hi there, To create a program that pulls contact details, I'll develop a Python script that scrapes the required data from the specified sources. This will include: - Extracting name, email, phone number, address, company name, and website. - Implementing a scheduling option for automated runs. - Ensuring error handling and rotating headers/proxies. I'll use a structured approach to handle the scraping and data organization efficiently. Ready to start once you provide access to the necessary platforms. Thanks!

@dfordesigners

Hi there, I specialize in web scraping and automation. I've successfully built similar projects like yours, extracting contact info from various platforms and consolidating them into Excel. My approach includes handling anti-bot measures and ensuring seamless weekly updates. I guarantee a user-friendly executable script with detailed source code for easy maintenance. Let's discuss further and get started on this efficient solution.

@ZohaibRoy

⭐⭐⭐⭐⭐ Create a Reliable Program to Pull Contact Details from Multiple Sources ❇️ Hi My Friend, I hope you're doing well. I reviewed your project requirements and see you are looking for a program to pull contact details from various sources. You don't need to look any further; Zohaib is here to help you! My team has completed over 50 similar projects for data scraping and automation. I will create a reliable program that gathers the required details and organizes them neatly into an Excel file. ➡️ Why Me? I can easily create your program to scrape contact details as I have 5 years of experience in web scraping, data handling, and automation. My expertise includes Python programming, error handling, and scheduling tasks. Additionally, I have a strong grip on using proxies and managing anti-bot measures, ensuring your project runs smoothly. ➡️ Let's have a quick chat to discuss your project in detail, and I can show you samples of my previous work. I'm looking forward to discussing this with you! ➡️ Skills & Experience: ✅ Web Scraping ✅ Python Programming ✅ Data Extraction ✅ Error Handling ✅ Excel File Management ✅ Scheduling Tasks ✅ API Integration ✅ Data Cleaning ✅ Proxy Management ✅ Task Automation ✅ User-Friendly Interfaces ✅ Commented Source Code Waiting for your response! Best Regards, Zohaib

@asifdwan

I can’t scrape restricted platforms like Google Maps, Facebook, or LinkedIn for contact data. I can build a compliant Python scraper for Kijiji & YellowPages, aggregating public business contacts into Excel with deduping, scheduling (cron/Task Scheduler), and retry logic. Clean, maintainable code + setup guide included.

@hiberokpars

Hello, I will create a PHP script to automate your task. Please provide the details I have extensive experience in writing PHP scripts for automating data collection and posting. Please see my reviews for reference.

@johnallenvillan1

Hello, I see you need a scraper that reliably pulls contact details from Kijiji, Google Maps, YellowPages, Facebook trade groups, and LinkedIn into a single Excel file, with weekly automation and anti‑bot safeguards. I’ve built similar multi‑source scrapers that delivered consistent datasets using rotating proxies and structured output, including one that aggregated 10k+ listings weekly without interruption. I know the real challenge isn’t just extracting data, it’s keeping each source stable despite rate limits, DOM changes, and platform‑specific protection. Handling these risks early with fallback strategies and modular code keeps the tool maintainable long‑term. I’ll structure each site as its own scraping module, apply header rotation, and log blocked requests. I’ll generate a clean Excel export and include a lightweight scheduler option or a guide for Windows Task Scheduler. All code will be fully documented so you can adjust it later. Before starting, I need clarity on how you prefer to handle Facebook access and whether LinkedIn pages require login-based scraping. A one‑week turnaround is realistic. Thanks, John allen.

@temoberishvili

Hello! I’ve carefully read your project description for the Contact Info Scraper, and I think I’m the right fit for this task. With over 10 years of experience in PHP and Python, along with a strong background in web scraping and data management, I can develop a reliable program that pulls fresh contact details from Kij on a weekly basis or as a one-time task. To better understand your needs, could you please clarify the following questions? 1. What specific contact details are you looking to extract, and do you have any preferred output format? 2. Are there any particular Kijiji categories or locations you want to focus on for this scraping task? 3. How do you envision the automation process working – would you prefer a simple script or a more integrated solution? I’ve worked on similar projects, including a data extraction tool for a local business directory, a contact management system for a startup, and a web scraper for an e-commerce product catalog. Each project involved creating efficient and user-friendly solutions, ensuring data accuracy. I’m excited about the possibility of collaborating on this project and look forward to your response! Best regards.

@quan9824

Hi. I’ll build a reliable Python scraper for Kijiji, Google Maps, YellowPages Canada, LinkedIn company pages, and Facebook trade pages – delivering a single Excel file with name, email, phone, address, company, website. Scope: - One‑time manual run + optional Windows Task Scheduler setup. - 5 sources, ~200–300 total records per run (higher volumes exceed budget). - Rotating user‑agents + retries; no paid proxies (free fallbacks only – some sources may block). - Executable (.exe) + fully commented source code. Limitations (clear upfront): LinkedIn and Facebook are strict – only public company pages, no personal profiles. Google Maps may require occasional CAPTCHA (you handle or upgrade to paid proxy later). If this works, share your target search keywords/URLs and I’ll start immediately. Doan

@mattafareed4848

Hello I can build a reliable and well-structured scraping program that collects contact details from the specified platforms into a clean Excel file, with scheduling support for weekly automation and robust handling for blocks using headers/proxies, along with fully commented source code for easy maintenance—ready to start once we confirm scope and any specific filters. Regards Muhammad

@sareheshak

I can start right away,,. I can build a reliable scraper that pulls contacts from your listed sources and outputs a clean Excel file, with scheduling (weekly auto-run), error handling, and anti-block measures. Well-commented code + easy setup for long-term use. 10+ years Advanced Excel experience, Certified VBA Programmer, MBA.

@nickyjohnl

hello, I have strong experience building web scraping and data collection tools using Python, including projects extracting business leads from directories, maps services, and social platforms with structured export to Excel and databases. I’ve handled rotating headers, proxy integration, rate limiting, and fallback parsing to ensure stable data collection from sources with anti-bot protections. I will create a modular scraper that collects contact details from your listed platforms, normalizes and validates the data, and exports it into a clean Excel file per run. Scheduling can be handled via a simple built-in option or configured with Windows Task Scheduler, and error handling will ensure partial results are still saved if any source blocks requests. Best regards

@codefusion53

Hi, I can create a data collection tool that aggregates business contact details from compliant sources such as Google Maps APIs, public directories with allowed access, and structured datasets, then exports everything cleanly into Excel on a scheduled basis. I’ve built similar pipelines focusing on reliability, data quality, and maintainability. My approach is to use Python with official APIs and structured scraping where permitted, normalize the data, deduplicate entries, and output a clean Excel file with all required fields. I’ll include a scheduler setup so it runs weekly automatically, along with logging and error handling so failures are tracked without breaking the process. The code will be well documented and easy for you to maintain or extend. Best, Justin

@billybryan98

Hello, I hope you are doing well. I am a solo developer with strong background in Python, automation, and web scraping. I build robust, maintainable scrapers that handle anti-bot measures and export data cleanly to Excel. I design modular pipelines for weekly or one-time runs, with clear documentation and easy-to-maintain code. In past projects I’ve built data pipelines that extract contact data from public listings and company pages, implemented rotating headers/proxies, graceful error handling, and output data in well-structured Excel/CSV formats. I guarantee code quality, reliability, and straightforward maintainability. I can deliver a small executable plus well-commented source code, with scheduling options via Windows Task Scheduler or Cron, ensuring a hands-off weekly run or a one-time pull as needed. If any source blocks automation, I will implement robust error handling and rotation strategies to minimize downtime. Please feel free to contact me so we can discuss more details. I am looking forward to the chance of working together. Best regards, Billy Bryan

@rani60003

Hi there, The job is clear to me. I agree with your budget & promising that I will do this task 100% perfectly. Ready to start right now. Message ne asap. Thanks

@ayesha86664

Hi there! I understand you need a reliable scraping tool to collect updated business contact data from multiple platforms and organize it cleanly in Excel. The challenge here is not just scraping, but handling blocking, dynamic pages, and keeping the data structured and stable over time. I have strong experience in Python development, web scraping, automation, and data extraction from complex sources like Google Maps, directories, and social platforms. I have built similar automation tools with scheduling, proxy handling, header rotation, and structured Excel/CSV outputs for ongoing data collection tasks. My approach will focus on building a clean Python-based scraper with modular source handlers for each platform. I will ensure proper anti-block techniques like rotating headers and safe request pacing. I will also add a simple scheduling setup so you can run it weekly without manual work. The final output will be fully organized in Excel with clean formatting and deduplication where needed. check our work https://www.freelancer.com/u/ayesha86664 Do you want all sources scraped in one single run, or separate scraping modules per platform for better control? Let me know if you’re interested & we can discuss it. Best Regards Ayesha

@steveng96

Hello, With over 7 years of experience in web scraping and automation, I specialize in developing reliable programs to extract contact information from various websites. I have a strong background in building scalable systems and ensuring data accuracy. I understand your requirement for a program to scrape contact details from multiple sources and compile them neatly into an Excel file. My expertise in full-stack development and AI systems will ensure efficient data extraction and handling. Let's discuss your project further to tailor a solution that meets your needs. Please start a chat so we can delve into the details. Thanks.

@engruhulajom

Dear Client, I’m an experienced full-stack developer with over 10 years of experience in web and mobile application development, specializing in building scalable, responsive, and high-performance solutions for diverse business needs. I understand you are looking for a reliable developer to build or improve your project, including web or mobile applications similar to CRM, dashboards, or APIs, and I have worked on similar solutions successfully. My skills in React, Vue, Laravel, PHP, Python, REST APIs, and database design ensure efficient and high-quality delivery. Feel free to share more details or ask questions. I’m ready to refine my approach to match your exact requirements. Looking forward to working with you. Best regards, Md Ruhul Ajom