If you’ve seen one wholesaling email, you’ve seen… well, one format out of hundreds. There’s no standard template. But most deal emails share common elements, even if the layout varies wildly.
The Common Fields
Almost every deal email contains some combination of these:
Property address. Usually near the top. Sometimes formatted as a single line, sometimes split across address, city, state, and zip. Occasionally just a cross-street description (“Near Main and 5th”).
Asking price. The wholesaler’s contract price or assignment fee. Might appear as “asking $125,000” or “contract price: $125K” or just a number in bold.
After-repair value (ARV). The estimated market value post-renovation. Often listed alongside asking price. Sometimes labeled “ARV,” sometimes “estimated value,” sometimes “comps support.”
Property details. Bedrooms, bathrooms, square footage, lot size, year built. Completeness varies dramatically — some emails include all of these, some include none.
Repair estimate. A dollar figure or range for renovation costs. Might be specific (“needs $30K rehab”) or vague (“needs TLC”). Some emails skip this entirely.
Property description. Free-text notes about the property’s condition, features, neighborhood, and motivation. This is the most unstructured field and the hardest to parse.
Photos. Inline images or links to a gallery. Quality ranges from professional to a single dark photo of the exterior.
Contact information. The wholesaler’s name, phone, and email for inquiries.
The Formatting Chaos
Here’s why manual extraction is painful — the same information appears in completely different formats:
Email A:
123 Main St, Phoenix AZ 85001 3bd/2ba | 1,450 sqft | Built 1998 Asking: $145,000 | ARV: $210,000 Rehab: ~$25K (cosmetic)
Email B:
HOT DEAL — don’t miss this one!! Beautiful 3 bedroom 2 bath in the heart of Phoenix. Square footage is around 1450. Asking one forty-five, ARV somewhere around 210. Probably needs about 25k in work, mostly paint and flooring.
Email C:
Property: 123 Main Street City: Phoenix State: AZ Bed/Bath: 3/2 SqFt: 1,450 Price: $145,000.00 ARV: $210,000.00 Repairs: $25,000
Same deal. Three completely different formats. A human can read all three. A rigid parser breaks on at least two of them. An AI language model handles all three because it understands context, not just patterns.
What Good Extraction Looks Like
Regardless of input format, extracted data should be normalized into consistent fields:
- Address: 123 Main St, Phoenix, AZ 85001
- Bedrooms: 3
- Bathrooms: 2
- Square footage: 1,450
- Year built: 1998
- Asking price: $145,000
- ARV: $210,000
- Estimated repairs: $25,000
- Property type: Single Family
Once data is in this format, it can be searched, filtered, compared, and matched against buyer criteria. The messy email becomes a clean database record.
Missing Data Is Data
Not every email contains every field. That’s fine — and informative. A deal email that omits repair estimates or ARV might be intentionally vague. A deal with no photos suggests the wholesaler hasn’t seen the property. Missing data is a signal worth capturing, not just an empty field.