10 guides
Public Nextdoor business data, measured field by field
How to extract public Nextdoor business listings, neighbor recommendations and city demographics — and what the data actually contains once you have it.
Scrape Nextdoor business listings
A complete walkthrough: how Nextdoor exposes business data to signed-out visitors, how to select cities and categories, what a first run costs, and how to read the 34 fields you get back.
Nextdoor API: what exists
Nextdoor has no public data API for business listings or recommendations. Here is what its actual interfaces cover, why the gap exists, and how to get structured data without one.
Recommendations vs reviews
Measured across 891 recommendations, 50% were neighbors asking for a provider and only 19% were actual reviews. Why the feed mixes three things, and how to separate them before they poison a sentiment model.
Nextdoor data fields
A field-by-field reference for the 34 attributes in a public Nextdoor business record, each with the percentage of 741 real businesses that had it filled in.
Nextdoor city slugs
Nextdoor identifies a city as `city-name--state`. The rule sounds trivial and breaks on saints, hyphens and states that share a city name — here is the exact format and how to confirm a slug before spending a run on it.
Scraping without cookies
Most Nextdoor scrapers ask for your session cookies. They work on setup day and fail silently later. The trade-off of refusing them, stated in both directions.
Local lead generation
Which Nextdoor fields are usable for outreach, what the fill rates mean for a target list of a given size, and how to avoid building a list that is 40% dead ends.
Nextdoor city data
The city dataset is the least known part of Nextdoor's public surface and the most useful for market sizing: residents, income, age, homeownership, subjective scores and full category coverage.
Trade area vs city
Asking Nextdoor for 200 dentists in one city returns the surrounding four towns too. We counted where the switch happens: results 1-75 were 96-100% local, everything past 76 was 0%.
Is it legal?
The interesting question is not "is scraping legal" but which specific data creates which specific obligation. Public business contact details and neighbor posts are not the same thing.