Nextdoor Scraper

Built by John Rippy | johnrippy.link

Scrape local business recommendations, neighborhood posts, and community data from Nextdoor. Get authentic local insights and recommendations that aren't available on other platforms.

Why Nextdoor Data is Valuable

Nextdoor is unique because:

• Verified Neighbors: All users are verified to live in their neighborhood
• Authentic Recommendations: Real recommendations from actual neighbors, not anonymous reviews
• Local Focus: Hyper-local content not found on Google or Yelp
• Trust Factor: Higher trust in neighbor recommendations vs online reviews
• Hidden Gems: Discover businesses that don't advertise elsewhere

Features

• Business Recommendations: Scrape recommended businesses with neighbor endorsements
• Neighborhood Posts: Extract posts mentioning businesses or services
• Category Filtering: Filter by home services, restaurants, automotive, etc.
• Comment Extraction: Optionally scrape comments and replies
• Vote Counts: Get upvote/thanks metrics for social proof
• Multi-Neighborhood: Scrape multiple neighborhoods in one run

Use Cases

• Lead Generation: Find businesses being recommended by locals
• Competitor Research: See which competitors get mentioned and why
• Market Research: Understand local sentiment and preferences
• Reputation Monitoring: Track mentions of your business
• Local SEO: Discover citation and partnership opportunities
• Content Ideas: Find trending local topics and concerns

Input Parameters

Parameter	Type	Description
scrapeType	string	Type of content: recommendations, posts, businesses, events
neighborhoods	array	List of neighborhood URLs or slugs to scrape
searchQuery	string	Search term for finding specific businesses/posts
category	string	Business category filter
maxResults	number	Maximum items to scrape (default: 100)
includeComments	boolean	Extract comments/replies (default: false)
includeVotes	boolean	Extract vote counts (default: true)
minRecommendations	number	Minimum recommendation count filter
dateRange	string	Filter by date: all, today, week, month, year
proxyConfiguration	object	Proxy settings
demoMode	boolean	Return sample data for testing

Output

Business Recommendation Output

{
  "businessName": "Mike's Plumbing",
  "category": "Plumbers",
  "recommendationCount": 47,
  "latestRecommendation": {
    "author": "Sarah M.",
    "neighborhood": "Coral Gables",
    "text": "Mike fixed our water heater same day. Fair prices and very professional!",
    "date": "2024-12-15",
    "upvotes": 12
  },
  "mentions": [
    {
      "postType": "recommendation",
      "text": "Looking for a good plumber? Mike's Plumbing is amazing!",
      "author": "John D.",
      "neighborhood": "Coconut Grove",
      "date": "2024-12-10",
      "upvotes": 8,
      "comments": 3
    }
  ],
  "neighborhoods": ["Coral Gables", "Coconut Grove", "South Miami"],
  "phone": "(305) 555-1234",
  "website": "https://mikesplumbing.com",
  "scrapedAt": "2024-12-21T10:30:00.000Z"
}

Neighborhood Post Output

{
  "postType": "recommendation_request",
  "title": "Need a reliable electrician",
  "content": "Looking for an electrician to install a ceiling fan. Any recommendations?",
  "author": "Maria G.",
  "neighborhood": "Miami Beach",
  "date": "2024-12-20",
  "upvotes": 5,
  "commentCount": 12,
  "comments": [
    {
      "author": "Tom H.",
      "text": "I highly recommend Spark Electric. They did great work at my place.",
      "date": "2024-12-20",
      "upvotes": 3
    }
  ],
  "businessMentions": ["Spark Electric", "A1 Electrical"],
  "scrapedAt": "2024-12-21T10:30:00.000Z"
}

Example Usage

Scrape Business Recommendations

{
  "scrapeType": "recommendations",
  "neighborhoods": ["miami-beach-fl", "coral-gables-fl"],
  "category": "home_services",
  "maxResults": 100
}

Search for Specific Business Type

{
  "scrapeType": "recommendations",
  "searchQuery": "plumber",
  "neighborhoods": ["los-angeles-ca"],
  "minRecommendations": 5
}

Scrape Recent Posts with Comments

{
  "scrapeType": "posts",
  "neighborhoods": ["brooklyn-ny"],
  "dateRange": "week",
  "includeComments": true,
  "maxResults": 50
}

Pricing

This actor uses pay-per-event pricing:

Event	Description	Price
apify-actor-start	Base cost per run	$0.15
item_scraped	Per recommendation/post scraped	$0.008
comment_scraped	Per comment extracted	$0.003

Example costs:

• 100 recommendations with 5 comments each: $0.15 + (100 × $0.008) + (500 × $0.003) = $2.45
• 50 posts, no comments: $0.15 + (50 × $0.008) = $0.55

Important Notes

Authentication

Nextdoor requires login to view content. The scraper uses session management to maintain access. Some content may require verified neighborhood membership.

Rate Limiting

• Intelligent delays between requests
• Residential proxy rotation recommended
• Respects Nextdoor's rate limits

Data Freshness

• Recommendations are updated as new endorsements come in
• Posts are sorted by recency by default
• Use dateRange filter for specific time periods

Limitations

• US neighborhoods primarily supported
• Some private neighborhood content may not be accessible
• Maximum 1000 results per run
• Comment extraction increases run time significantly

Legal Considerations

Ensure your use of scraped data complies with:

• Nextdoor's Terms of Service
• Local privacy regulations
• Your intended use case

This tool is designed for legitimate business intelligence and market research purposes.

Integration

Export data directly to:

• Google Sheets
• CSV/Excel
• CRM systems (via webhook)
• Databases (via API)

Support

For issues or feature requests, contact support.

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Built by John Rippy | johnrippy.link

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Keywords

nextdoor scraper, neighborhood reviews, local community data, nextdoor business reviews, local recommendations