App Scraping Data Specialist

I have an app that lists roughly 3,000–4,000 companies and I need the information from each company “card” pulled into a clean Excel spreadsheet. From every card please capture: • Company name • Any contact details shown on that card (phone, email, website, etc.) The final deliverable is a single, well-structured Excel file where every row represents one company and each field is placed in its own column. Data integrity is crucial, so duplicates, blank rows, and broken characters should be removed or flagged for review. Because there are thousands of entries, I expect an automated approach (Python, BeautifulSoup, Selenium, or similar mobile-app scraping tools) combined with manual spot-checks to ensure accuracy. Please be sure your method respects any rate limits or anti-scraping measures built into the app. Acceptance will be based on: 1. Full coverage: at least 4,000 unique companies returned. 2. Correct mapping of columns (name, address, contact details, 3. Zero critical errors in a random 100-row QA sample. I Will give ALL the credentials