DoorDash Reservations Restaurant Data Scrape

I need a one-off scrape of every restaurant that appears in the “Reservations” section on DoorDash for New York City, Miami, Las Vegas, Boston, Dallas, Houston, Los Angeles, Phoenix, Seattle, Washington D.C., San Francisco, and Chicago. You will need to log in to the platform. Pick a date as far in the future as you can to maximize the inventory available. For each listing, capture these five fields exactly as they display on the site (if available): restaurant name, star rating, total review count, cuisine/type, and full location. Once collected, organise everything in a single, well-structured Excel spreadsheet so I can filter and sort the results easily later.

Please pull only what is publicly visible—no deep-link hacking or activity that violates DoorDash’s terms. I will consider the job complete when I receive:

• An .xlsx file with a separate tab for each city, each tab containing all five requested columns populated for every restaurant that offers reservations
• A brief note on the scraping method or script used, so I can replicate or update in the future if needed

Accuracy is essential; a quick spot-check of several random entries must match the live site. Let me know your estimated turnaround and any clarifying questions.