Nextdoor Business Scraper

Extract public business data from Nextdoor at scale, with no login and no cookies. Point this scraper at Nextdoor business pages or business slugs and get back clean, structured records: business name, categories, phone number, and Nextdoor's AI-written summary of what neighbors say about the business. Try it with the prefilled example, then paste in your own list of business pages.

That recommendation summary is the part you cannot get anywhere else: a few hundred words, written by Nextdoor, describing what neighbors actually ask this business for.

Built for lead generation, local-market research, and competitive analysis on the neighborhood-commerce data that only Nextdoor has.

Why use Nextdoor Business Scraper?

Nextdoor is where neighbors ask for and recommend local service providers, so its business pages are a uniquely clean source of small-business data. This Actor turns those public pages into a spreadsheet or API feed:

• No Nextdoor account, no cookies, no session tokens. It reads public pages over plain HTTP, so there is nothing to log in, nothing to keep fresh, and nothing to break when a login expires. Point it at a URL and go.
• Built to keep working. Pure HTTP with automatic retries on Nextdoor's rate-limited pages, and a daily health check against live pages so drift gets caught fast rather than silently returning junk.
• Lead lists for agencies and B2B sellers targeting home services, contractors, and local trades, complete with a public phone number and category.
• Local SEO and reputation research across a category or a set of competitors, using the summary as a read on what each business is actually known for.
• Market mapping of which businesses have a presence in a category and how neighbors describe them.
• CRM enrichment by attaching phone and categories to businesses you already track.

Running on the Apify platform, you get scheduled runs, an API and integrations (Make, Zapier, Google Sheets, and more), automatic proxy rotation, and monitoring, none of which you get from a one-off script.

How to use Nextdoor Business Scraper

1. Open the Input tab.
2. Add the Nextdoor business pages you want to scrape, either as full URLs under Business page URLs (for example https://nextdoor.com/pages/all-home-services/) or as bare slugs under Business slugs (for example all-home-services).
3. Optionally set Max businesses to scrape to cap the run.
4. Leave Proxy configuration on Residential (recommended) and click Start.
5. When the run finishes, open the Output tab and export as JSON, CSV, Excel, or HTML, or pull it from the API.

Input

Field	Description
Business page URLs (startUrls)	Nextdoor /pages/<slug>/ URLs to scrape.
Business slugs (businessSlugs)	Business slugs (the part after /pages/); each is expanded to a full URL.
Max businesses to scrape (maxItems)	Hard cap on businesses scraped. 0 means no cap.
Max concurrency (maxConcurrency)	Parallel requests. Lower is gentler; 5 is a safe default.
Proxy configuration (proxyConfiguration)	Residential proxies are recommended for reliable results.

You can also paste a category directory URL such as https://nextdoor.com/directories/plumber/. Note that Nextdoor renders most category listings with client-side JavaScript that a fast HTTP scraper cannot read, so directory crawling is best-effort and often returns nothing; feeding business page URLs or slugs directly is the reliable path.

Output

Each business becomes one dataset item. You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

{
  "url": "https://nextdoor.com/pages/example-home-services/",
  "slug": "example-home-services",
  "businessId": "10000000",
  "name": "Example Home Services",
  "phone": "+15550100",
  "email": null,
  "website": null,
  "categories": ["Handyman", "General contractor"],
  "recommendationsSummary": "Residents frequently look to this business when they need reliable handyman and general contractor support. Neighbors seek help with practical projects such as installing a pantry door, as well as exterior work like metal wrapping for windows. Requests emphasize finding someone affordable…",
  "connectionsCount": 0,
  "address": null,
  "avatarUrl": "https://us1-photo.nextdoor.com/pages_avatar_photos/…jpg",
  "ownerId": "20000000",
  "ownerContactable": false,
  "topicIds": ["17748", "17758"],
  "dataQuality": "standard",
  "scrapedAt": "2026-07-20T04:04:58.709Z"
}

Data fields

Field	Description
recommendationsSummary	The headline field. Nextdoor's AI-written summary of neighbor recommendations (prose, not individual reviews). Typically a few hundred words. null for businesses that have no recommendations yet.
name	Business name.
phone	Public phone number, when listed. Usually E.164, occasionally as the business typed it.
categories	Business categories / topics.
slug, businessId	Nextdoor page slug and numeric business id. Use businessId to deduplicate.
avatarUrl	Business logo / avatar image URL.
ownerId, ownerContactable	Page owner's id and whether they are marked contactable.
email, website	Contact email and website. Nextdoor renders these client-side, so a fast HTTP scraper usually cannot read them and they are typically null. Present only on the occasional page that exposes them server-side.
address, latitude, longitude, hours	Populated only for businesses that publish them (often null for service-area businesses).
connectionsCount	Neighbor connection count as Nextdoor reports it publicly. In practice this is 0 on most public business pages, so treat it as a minor signal rather than a reason to run this Actor.
dataQuality	standard (the normal result: name, phone, categories, recommendation summary), or partial (a reduced page returned under heavy load; core fields only, never billed).

How much does it cost to scrape Nextdoor?

This Actor uses pay per event pricing:

Event	When it fires	Price
Business scraped	Per business returned with usable data	$0.009
Partial result	Reduced-page business	Free (never billed)
Actor start	Once per GB of run memory, at Apify's platform minimum	$0.00001

So scraping 1,000 businesses costs about $9, plus Apify platform compute and proxy usage. The start fee is Apify's standard synthetic start event charged at the platform minimum, so it rounds to nothing on any real run (a 1 GB run adds $0.00001).

Reduced pages that Nextdoor occasionally serves under load are returned free and never billed — you only pay for businesses that come back with usable data.

Tips and advanced options

• Use residential proxies for the most reliable results. Nextdoor rate-limits by IP and serves a reduced page after a burst of requests from one address; the Actor automatically retries reduced pages on a fresh IP.
• Lower maxConcurrency (to 3–4) for very large runs to reduce reduced-page responses further.
• Deduplicate by businessId if you feed overlapping lists.
• Schedule the Actor to refresh a lead list on a cadence and pipe new rows into your CRM via an integration.

FAQ, disclaimers, and support

Does this need a Nextdoor account or cookies? No. It reads only public, logged-out business pages.

Does it return individual reviews or star ratings? No. Individual recommendations are behind Nextdoor's login and are not scraped, and public pages carry no star ratings. What you get instead is the public AI recommendationsSummary, which distills those recommendations into prose.

Why is connectionsCount always 0? Nextdoor reports 0 publicly for most business pages. The field is included for completeness, but the value in this data is the recommendation summary and the structured contact/category fields, not the counts. Do not build a workflow that depends on connectionsCount being populated.

Why are email and website usually empty? Nextdoor renders those with client-side JavaScript, which this fast HTTP scraper does not execute, so they are typically null. Phone, name, categories, and the recommendation summary are read directly from the page and are reliable.

Is scraping Nextdoor legal, and can I use the data for outreach? This Actor collects only publicly available business information. You are responsible for confirming your own legal basis before running it and for using the data in compliance with Nextdoor's Terms of Service and applicable law, including data-protection laws (such as GDPR) and anti-spam laws (such as CAN-SPAM and TCPA) if you contact these businesses. Note that Nextdoor's robots.txt disallows automated access to /pages/; review Nextdoor's terms and robots.txt and decide your posture before running at scale.

Something looks wrong or a field stopped populating. Websites change their markup. Report it on the Issues tab and it will be fixed promptly.