Ambrose A.

Need reliable data from websites, APIs, directories, marketplaces, or online platforms? I specialize in 𝗣𝘆𝘁𝗵𝗼𝗻 𝘄𝗲𝗯 𝘀𝗰𝗿𝗮𝗽𝗶𝗻𝗴, 𝗱𝗮𝘁𝗮 𝗲𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻, 𝗱𝗮𝘁𝗮 𝗰𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻, and 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗱𝗮𝘁𝗮 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀. I build reliable solutions for static websites, JavaScript websites, dynamic pages, paginated websites, directories, marketplaces, authenticated platforms, and APIs. I can develop a scraper from scratch, improve an existing scraper, or build a recurring data collection pipeline around your sources. My focus is not simply extracting information. I make sure the resulting data is 𝗰𝗹𝗲𝗮𝗻, 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱, 𝘃𝗮𝗹𝗶𝗱𝗮𝘁𝗲𝗱, and ready for analysis, storage, integration, or operational use. 𝗪𝗘𝗕 𝗦𝗖𝗥𝗔𝗣𝗜𝗡𝗚 & 𝗗𝗔𝗧𝗔 𝗘𝗫𝗧𝗥𝗔𝗖𝗧𝗜𝗢𝗡 ✓ Python web scraping ✓ Scrapy development ✓ Playwright automation ✓ Selenium automation ✓ BeautifulSoup parsing ✓ Static and dynamic website scraping ✓ JavaScript rendered content ✓ Pagination and multi page extraction ✓ Directory and marketplace data extraction ✓ API and structured data extraction ✓ Existing scraper repair and improvement ✓ Custom data collection solutions 𝗗𝗔𝗧𝗔 𝗖𝗟𝗘𝗔𝗡𝗜𝗡𝗚 & 𝗤𝗨𝗔𝗟𝗜𝗧𝗬 ✓ Data cleaning ✓ Data normalization ✓ Data transformation ✓ Data validation ✓ Duplicate detection and removal ✓ Field standardization ✓ Missing data handling ✓ Source URL preservation ✓ CSV and JSON datasets ✓ Database ready data ✓ PostgreSQL and MongoDB 𝗔𝗨𝗧𝗢𝗠𝗔𝗧𝗘𝗗 𝗗𝗔𝗧𝗔 𝗣𝗜𝗣𝗘𝗟𝗜𝗡𝗘𝗦 For projects that require data continuously rather than a one time scrape, I can build 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗱𝗮𝘁𝗮 𝗰𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 with scheduled extraction, incremental updates, processing, validation, storage, and delivery. Typical workflow: 𝗪𝗲𝗯𝘀𝗶𝘁𝗲 → 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻 → 𝗖𝗹𝗲𝗮𝗻𝗶𝗻𝗴 → 𝗡𝗼𝗿𝗺𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 → 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻 → 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 → 𝗔𝗣𝗜 𝗼𝗿 𝗘𝘅𝗽𝗼𝗿𝘁 I can also integrate extracted data with existing applications, databases, APIs, dashboards, and backend systems. 𝗧𝗬𝗣𝗘𝗦 𝗢𝗙 𝗗𝗔𝗧𝗔 𝗜 𝗪𝗢𝗥𝗞 𝗪𝗜𝗧𝗛 🏠 Real estate and property data 🛒 E-commerce and product data 💼 Job and recruitment data 🏢 Business and company data ⚖️ Legal and professional directory data 📊 Market and competitor data 📍 Lead and business directory data 💰 Pricing and product information 📋 Public web datasets 𝗖𝗢𝗠𝗠𝗢𝗡 𝗣𝗥𝗢𝗝𝗘𝗖𝗧𝗦 • Build a web scraper for a specific website or group of websites • Extract structured data from thousands of web pages • Collect business or lead information from directories • Aggregate information from multiple websites • Extract product listings, prices, availability, or specifications • Collect real estate and property listings • Extract job listings and recruitment data • Monitor websites for changes and new records • Repair an unreliable Python scraper • Convert manual data collection into an automated process • Build recurring web data collection pipelines • Store scraped data in PostgreSQL or another database • Extract data from APIs and integrate it into existing systems 𝗧𝗘𝗖𝗛𝗡𝗜𝗖𝗔𝗟 𝗦𝗧𝗔𝗖𝗞 𝗣𝘆𝘁𝗵𝗼𝗻 | 𝗦𝗰𝗿𝗮𝗽𝘆 | 𝗣𝗹𝗮𝘆𝘄𝗿𝗶𝗴𝗵𝘁 | 𝗦𝗲𝗹𝗲𝗻𝗶𝘂𝗺 | 𝗕𝗲𝗮𝘂𝘁𝗶𝗳𝘂𝗹𝗦𝗼𝘂𝗽 | 𝗣𝗮𝗻𝗱𝗮𝘀 | 𝗥𝗘𝗦𝗧 𝗔𝗣𝗜𝘀 | 𝗚𝗿𝗮𝗽𝗵𝗤𝗟 | 𝗣𝗼𝘀𝘁𝗴𝗿𝗲𝗦𝗤𝗟 | 𝗠𝗼𝗻𝗴𝗼𝗗𝗕 | 𝗗𝗼𝗰𝗸𝗲𝗿 | 𝗟𝗶𝗻𝘂𝘅 | 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗛𝗢𝗪 𝗜 𝗔𝗣𝗣𝗥𝗢𝗔𝗖𝗛 𝗣𝗥𝗢𝗝𝗘𝗖𝗧𝗦 ① 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝘁𝗵𝗲 𝗿𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁 Identify the required data, target sources, fields, volume, frequency, and output format. ② 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗲 𝘁𝗵𝗲 𝘀𝗼𝘂𝗿𝗰𝗲𝘀 Assess website structure, data availability, pagination, dynamic content, APIs, and technical constraints. ③ 𝗕𝘂𝗶𝗹𝗱 𝗮𝗻𝗱 𝘁𝗲𝘀𝘁 Develop the appropriate extraction solution based on the actual source rather than forcing every website into the same approach. ④ 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗲 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮 Check required fields, formatting, duplicates, completeness, consistency, and source references. ⑤ 𝗗𝗲𝗹𝗶𝘃𝗲𝗿 𝘂𝘀𝗮𝗯𝗹𝗲 𝗱𝗮𝘁𝗮 Deliver clean CSV, JSON, database records, API integrations, or recurring data pipelines based on the project requirements. If you have a website, platform, API, directory, or existing scraper that needs attention, 𝗦𝗘𝗡𝗗 𝗠𝗘 𝗧𝗛𝗘 𝗦𝗢𝗨𝗥𝗖𝗘 𝗔𝗡𝗗 𝗧𝗛𝗘 𝗗𝗔𝗧𝗔 𝗬𝗢𝗨 𝗡𝗘𝗘𝗗. I can assess the extraction requirements, identify the main technical considerations, and propose a practical approach.