Nextdoor Business & Neighborhood Scraper

Scrape Nextdoor's public business directory and neighborhood pages. Extract business names, addresses, ratings, reviews, categories, phone numbers, and websites. Also discover neighborhood data including member counts and boundaries.

Use Cases

• Local Lead Generation -- Build hyper-local prospect lists targeting businesses in specific neighborhoods. Get phone numbers, addresses, and websites for outbound sales teams.
• Competitive Analysis -- Map the competitive landscape for any business category in any US city. Compare ratings, review counts, and service areas.
• Local Market Research -- Understand business density by neighborhood, discover underserved categories, and identify market gaps.
• Real Estate & Neighborhood Intel -- Gather neighborhood data, household counts, and community demographics for real estate analysis.
• Local SEO Audits -- Identify which competitors have Nextdoor presence, ratings, and recommendations to inform your local SEO strategy.
• Franchise & Expansion Planning -- Research local business ecosystems before opening new locations. Understand what services are already available.
• Data Enrichment -- Supplement your CRM with fresh local business data from Nextdoor's community-driven platform.

Input

Field	Type	Default	Description
locations	array	["San Francisco, CA"]	List of cities, neighborhoods, or ZIP codes to search
businessCategory	string	""	Filter by category (e.g., "restaurants", "plumbers", "dentists"). Leave empty for all.
maxResults	integer	300	Maximum total results to scrape. Set to 0 for unlimited.
proxyConfiguration	object	Apify Proxy	Proxy settings. Residential proxies strongly recommended for Nextdoor.

Example Input

{
  "locations": ["San Francisco, CA", "Oakland, CA"],
  "businessCategory": "restaurants",
  "maxResults": 500
}

Supported Category Examples

Use any of these common categories (or any term Nextdoor recognizes):

• restaurants / pizza / sushi / mexican
• plumbers / electricians / contractors / handyman
• dentists / doctors / chiropractors / veterinarians
• auto-repair / car-wash / towing
• landscaping / lawn-care / tree-service
• real-estate-agents / mortgage / insurance
• cleaning / pest-control / roofing
• hair-salons / spas / gyms / yoga
• tutoring / daycare / pet-care
• Leave empty to scrape all categories

Output

Business Results

Each business listing is saved to the default dataset with these fields:

Field	Type	Description
type	string	Always "business" for business results
businessName	string	Name of the business
address	string	Full address
streetAddress	string	Street portion of address
city	string	City name
state	string	State abbreviation (e.g., "CA")
zip	string	ZIP code
rating	number	Star rating (0-5)
reviews	number	Number of reviews/recommendations
category	string	Business category
phone	string	Phone number
website	string	Business website URL
url	string	Nextdoor profile URL
description	string	Business description or snippet
image	string	Business image/logo URL
searchLocation	string	The location used for this search
searchCategory	string	The category filter used
scrapedAt	string	ISO timestamp of when the result was scraped
sourceUrl	string	URL of the page where the result was found

Neighborhood Results

Field	Type	Description
type	string	Always "neighborhood" for neighborhood results
name	string	Neighborhood name
city	string	City name
state	string	State abbreviation
url	string	Nextdoor neighborhood page URL
memberCount	number	Number of Nextdoor members in the neighborhood
householdCount	number	Number of households
boundaryDescription	string	Description of neighborhood boundaries
scrapedAt	string	ISO timestamp

Example Business Output

{
  "type": "business",
  "businessName": "Tony's Pizza",
  "address": "1570 Stockton St, San Francisco, CA 94133",
  "streetAddress": "1570 Stockton St",
  "city": "San Francisco",
  "state": "CA",
  "zip": "94133",
  "rating": 4.8,
  "reviews": 156,
  "category": "Pizza",
  "phone": "(415) 555-0199",
  "website": "https://tonyspizzasf.com",
  "url": "https://nextdoor.com/pages/tonys-pizza-san-francisco-ca/",
  "description": "Family-owned pizzeria serving North Beach since 1987",
  "image": "https://nextdoor.com/media/business/tonys-pizza.jpg",
  "searchLocation": "San Francisco, CA",
  "searchCategory": "restaurants",
  "scrapedAt": "2026-03-01T12:00:00.000Z",
  "sourceUrl": "https://nextdoor.com/find-business/san-francisco-ca/restaurants/"
}

Example Neighborhood Output

{
  "type": "neighborhood",
  "name": "North Beach",
  "city": "San Francisco, CA",
  "state": "CA",
  "url": "https://nextdoor.com/neighborhood/north-beach-san-francisco-ca/",
  "memberCount": 3250,
  "householdCount": 4100,
  "boundaryDescription": "Bounded by Columbus Ave, Broadway, and the Embarcadero",
  "scrapedAt": "2026-03-01T12:00:00.000Z"
}

How It Works

1. Multi-source discovery -- For each location, the actor seeds four types of requests: business search directory, query-based search, city directory, and neighborhood directory.
2. Structured data first -- The actor extracts __NEXT_DATA__ JSON and JSON-LD structured data before falling back to DOM parsing. This provides the most reliable, complete results.
3. Smart pagination -- Automatically detects and follows pagination links on search results pages.
4. Deep crawling -- Discovers and follows links to individual business profile pages for richer data extraction.
5. De-duplication -- Tracks seen businesses by name and phone/address to avoid duplicate results.
6. Anti-blocking -- Rotates user agents, uses browser-like headers, and respects rate limits with polite delays.

Performance

• ~20 results per search page
• Polite crawling: max 15 requests/minute (respects Nextdoor's servers)
• Business search pages: ~2-3 seconds per page
• Detail pages: ~1-2 seconds each
• De-duplicates across all locations automatically
• Typical run: 300 results in 3-5 minutes

Tips

1. Use residential proxies -- Nextdoor is aggressive about blocking datacenter IPs. Residential proxies dramatically improve success rates.
2. Start with one location -- Test with a single city and maxResults: 50 before scaling up.
3. Be specific with categories -- Narrow categories like "plumbers" yield more targeted results than broad ones like "home services".
4. Multiple locations -- You can search multiple cities in a single run. Results are tagged with searchLocation for easy filtering.
5. ZIP codes work -- You can use ZIP codes instead of city names (e.g., "94102" instead of "San Francisco, CA").
6. Check for login walls -- Some Nextdoor pages require authentication. The actor handles these gracefully and extracts whatever public data is available.

Integrations

Export data directly to:

• Google Sheets
• Excel / CSV
• Webhook (HTTP POST)
• Slack notifications
• Any Apify integration

Pricing

This actor uses pay-per-event (PPE) pricing. You are charged $0.005 per result scraped (business or neighborhood).

Results	Cost
100	$0.50
500	$2.50
1,000	$5.00
5,000	$25.00

Legal Notice

This actor only accesses publicly available pages on Nextdoor.com that do not require authentication. It is intended for legitimate business purposes such as lead generation, market research, and competitive analysis. Users are responsible for complying with Nextdoor's Terms of Service and all applicable laws. Do not use scraped data for spamming, harassment, or any unauthorized purpose.