US Sports Food Deal Tracker
Budget: $2 – $8 USD
I am building a definitive, up-to-date database of local food promotions that activate when American pro sports teams win, lose, or hit special milestones. The focus is strictly on the 5 major leagues: NBA, NFL, MLB, MLS, and NHL.
I need a highly detail-oriented researcher to find every public-facing offer a fan can redeem outside the stadium (e.g., Free tacos when the Lakers win, discounted sandwiches when the local MLS team scores a goal).
The Playbook (How you will find the data):
Many of these promotions are hidden or poorly documented. You will need to act like a detective. Your research methods should include:
Team Subreddits: Searching terms like "free," "food," or "deal" inside specific team Reddit communities.
Official Partner Pages: Scouring the "Corporate Partnerships" or "Fan Promotions" pages on official team websites.
Social Media: Checking the local team and local fast-food franchise Twitter/X and Instagram accounts.
Calling (When Necessary): When details are fuzzy, you must be comfortable picking up the phone and calling a local franchise or corporate office to confirm the exact terms of the deal.
The Deliverable (Strict SOP):
You will manage a Google Sheet. Every single entry must have the following columns filled out completely and accurately:
League & Team: (e.g., NBA / LA Lakers)
Merchant: (e.g., Jack in the Box)
The Trigger Condition: (e.g., Win + Hold opponent under 111 pts)
The Exact Food Reward: (e.g., 2 Crunchy Tacos)
The Fine Print / Purchase Requirement: (e.g., Requires large drink purchase in the app)
Source Link or Phone Log: (Mandatory: A link to a Reddit thread, press release, or the date/time and store location you called to verify).
Acceptance Criteria:
No duplicates.
No stadium-only offers (must be redeemable at standard restaurant locations).
Provide a brief weekly summary of newly added or updated promotions so I can track your progress.
To Apply:
If you love detective-style research and know your way around credible data gathering, I’d love your help. Please start your proposal with the word "TOUCHDOWN" so I know you read this entire post. Include a brief example of a similar data-mining or web research project you have completed.
I need a highly detail-oriented researcher to find every public-facing offer a fan can redeem outside the stadium (e.g., Free tacos when the Lakers win, discounted sandwiches when the local MLS team scores a goal).
The Playbook (How you will find the data):
Many of these promotions are hidden or poorly documented. You will need to act like a detective. Your research methods should include:
Team Subreddits: Searching terms like "free," "food," or "deal" inside specific team Reddit communities.
Official Partner Pages: Scouring the "Corporate Partnerships" or "Fan Promotions" pages on official team websites.
Social Media: Checking the local team and local fast-food franchise Twitter/X and Instagram accounts.
Calling (When Necessary): When details are fuzzy, you must be comfortable picking up the phone and calling a local franchise or corporate office to confirm the exact terms of the deal.
The Deliverable (Strict SOP):
You will manage a Google Sheet. Every single entry must have the following columns filled out completely and accurately:
League & Team: (e.g., NBA / LA Lakers)
Merchant: (e.g., Jack in the Box)
The Trigger Condition: (e.g., Win + Hold opponent under 111 pts)
The Exact Food Reward: (e.g., 2 Crunchy Tacos)
The Fine Print / Purchase Requirement: (e.g., Requires large drink purchase in the app)
Source Link or Phone Log: (Mandatory: A link to a Reddit thread, press release, or the date/time and store location you called to verify).
Acceptance Criteria:
No duplicates.
No stadium-only offers (must be redeemable at standard restaurant locations).
Provide a brief weekly summary of newly added or updated promotions so I can track your progress.
To Apply:
If you love detective-style research and know your way around credible data gathering, I’d love your help. Please start your proposal with the word "TOUCHDOWN" so I know you read this entire post. Include a brief example of a similar data-mining or web research project you have completed.