Nextdoor Business Scraper

Extract Nextdoor's local business directory as clean, structured JSON — business name, full address, phone number, GPS coordinates, category, recommendation counts, the AI recommendations summary, and neighbor recommendations (reviews). Search by category and city, auto-discover popular cities for a category, or pull specific business profiles by URL.

Built directly on Nextdoor's own data gateway (the same backend its website and mobile apps use), so results are reliable and complete — no missing fields, no flaky page scraping.

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Who it's for

You are…	You get…
Lead-gen agency / B2B sales	Ready-to-call lists of local businesses with phone, address and category — prospect plumbers, restaurants, contractors, salons and more.
Local SEO / reputation firm	Recommendation counts, review text and the AI reputation summary to benchmark and pitch reputation management.
Market researcher / analyst	Business density and geo-distribution by category and city, with latitude/longitude for mapping.
PropTech / local-commerce SaaS	Enrich your own business database with Nextdoor presence and neighbor sentiment.

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Output fields

Each dataset row is one business:

Field	Type	Description
name	string	Business name
category	string	Primary category (e.g. "Plumber")
phone	string	Phone number (E.164, e.g. +14156406295)
address	string	Full formatted address
street_number, route, unit	string	Street components
city, state, state_name, postal_code, country	string	Address components
latitude, longitude	number	GPS coordinates
recommendation_count	number	Neighbor recommendations received
connections_count	number	Neighbor connections
recommendations_summary	string	AI-generated summary of what neighbors say
recommendations	array	Neighbor reviews: author, author_location, text, verified_epoch_ms
topics	array	Business topics/tags
description	string	Business description
photo_url, avatar_url, cover_url	string	Images
similar_businesses	array	Related businesses (optional)
url, slug, id, nextdoor_id	string	Identifiers and profile link
query_category, query_location	string	What was searched
scraped_at	string	ISO timestamp

phone, latitude, longitude, recommendations_summary and recommendations are populated when Enrich with business detail is on (default).

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High-value use cases

1. Build a local-business call list — search Plumber across your target cities and export name + phone + address straight into your CRM or dialer.
2. Reputation prospecting — find businesses with few recommendations (an easy reputation-management pitch) or many (case-study candidates).
3. Market mapping — pull every Restaurant in a metro with GPS to visualize density and find underserved neighborhoods.
4. Competitor & category intelligence — track how many businesses list under a category and what neighbors say about them over time.
5. Data enrichment — match your existing records to Nextdoor profiles to add phone, geo and neighbor sentiment.

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Input parameters

Field	Type	Default	Description
category	string	Plumber	Business category to search (name or slug).
locations	array	["San Francisco, CA"]	Cities to search (City, ST). Empty ⇒ auto-discover cities.
startUrls	array	[]	Specific business page URLs/slugs (direct detail mode).
includeDetails	boolean	true	Enrich each listing (phone, GPS, reviews, AI summary).
includeRecommendations	boolean	true	Include neighbor recommendations (reviews).
includeSimilar	boolean	false	Include similar businesses.
maxRecommendationsPerBusiness	integer	—	Cap reviews per business.
maxCitiesPerCategory	integer	15	Cities to walk in discovery mode.
maxItems	integer	100	Total record cap.
pageDelaySeconds	integer	0	Optional delay between pages.
proxyConfiguration	object	off	Optional Apify Proxy for IP rotation.

Three ways to run

• Search — set category + locations.
• Discovery — set category, leave locations empty; the actor finds popular cities for that category.
• Direct — set startUrls to specific business profiles.

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Example input

{
    "category": "Plumber",
    "locations": ["San Francisco, CA", "Austin, TX"],
    "includeDetails": true,
    "includeRecommendations": true,
    "maxItems": 100
}

Example output

{
    "name": "FlowForm Plumbing",
    "category": "Plumber",
    "phone": "+14156406295",
    "address": "1346 47th Ave, San Francisco, CA, 94122",
    "city": "San Francisco",
    "state": "CA",
    "postal_code": "94122",
    "latitude": 37.7613566,
    "longitude": -122.506739,
    "recommendation_count": 4,
    "connections_count": 12,
    "recommendations_summary": "Local homeowners seeking reliable home and garden solutions consistently turn to FlowForm Plumbing…",
    "recommendations": [
        {
            "author": "R. V.",
            "author_location": "San Francisco, CA",
            "text": "I would appreciate any suggestions for good plumbers…",
            "verified_epoch_ms": 1712345678000
        }
    ],
    "topics": ["Home and garden", "Household organizer"],
    "url": "https://nextdoor.com/pages/flowform-plumbing-san-francisco-ca/",
    "scraped_at": "2026-08-25T18:00:00+00:00"
}

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Scheduling & integrations

• Schedule runs (daily/weekly) from the Apify Console to keep lists fresh.
• Webhooks notify your systems on run completion.
• Export to JSON, CSV, Excel or Google Sheets, or pull via the Apify API.
• Pipe into Make, Zapier, n8n, or your data warehouse.

Use with AI assistants (MCP)

This actor works with the Apify MCP server, so AI assistants (Claude, ChatGPT, Cursor, VS Code) can call it as a tool — e.g. "find plumbers in Austin with phone numbers" — and receive structured results directly.

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FAQ

Where does the data come from? Nextdoor's public business directory — categories, business profiles, and neighbor recommendations that Nextdoor shows to logged-out visitors.

Do I need a Nextdoor account or cookies? No. The actor uses only public, anonymous access.

How many results can I get? Control it with maxItems. Search paginates deep through the directory; discovery mode spans many cities per category.

How fresh is the data? Every run fetches live data at run time.

Why are some fields empty? Turn on Enrich with business detail (default) to populate phone, GPS, reviews and the AI summary. In fast mode only search fields (name, address, category, photo, URL) are returned. A minority of listings hide their street address on Nextdoor.

Is it reliable? The actor talks to Nextdoor's structured data gateway and retries transient errors, so runs complete cleanly and fields stay consistent.

Is scraping this legal? It collects only publicly available information. You are responsible for using the data in compliance with applicable laws, Nextdoor's terms, and privacy regulations (e.g. GDPR/CCPA) — especially for outreach.

Support? Issues and feature requests are welcome via the Apify Store contact.