Nextdoor Business Scraper: Search, Reviews & Profiles avatar

Nextdoor Business Scraper: Search, Reviews & Profiles

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from $1.00 / 1,000 results

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Nextdoor Business Scraper: Search, Reviews & Profiles

Nextdoor Business Scraper: Search, Reviews & Profiles

Search Nextdoor local businesses by city and keyword, extract business profiles, and collect public posts and recommendations. Get names, categories, addresses, published phone numbers and customer feedback for local business research.

Pricing

from $1.00 / 1,000 results

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ScrapingMonkey

ScrapingMonkey

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0

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3

Total users

2

Monthly active users

5 days ago

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Nextdoor Scraper helps you discover local businesses on Nextdoor and review their public presence. Search by business type and city, collect profile details, posts and recommendations, and export addresses, contact information and customer feedback for local market research and business directory enrichment.

Find businesses in a target city, compare their profiles and review public recommendations. Keep contact details, categories and customer comments together when researching a local market or service provider.

At a glanceDetails
πŸ“₯ InputSearch fields or links to the selected items; see the examples below
πŸ“€ OutputOne row per business, public business post or recommendation, depending on the mode
πŸ“„ PaginationAutomatic up to maxResults for each input, when more results are available
πŸ” Login requiredNo
⚑ ProcessingMultiple inputs per run with automatic retries for temporary errors
πŸ’Ύ DeliveryOne complete Apify dataset table; CSV, JSON and Excel export

What the Nextdoor scraper collects πŸ“¦

Search Nextdoor local businesses by city and keyword, extract business profiles, and collect public posts and recommendations. Get names, categories, addresses, published phone numbers and customer feedback for local business research.

CollectionWhat you receive
Nextdoor business search scraperFind local businesses by query and city on Nextdoor. Export names, addresses, categories, profile links and visible recommendation snippets.
Nextdoor business profiles scraperExtract public Nextdoor business profiles with names, descriptions, phone numbers, addresses, locations and visible favorite counts.
Nextdoor business posts scraperCollect public posts from Nextdoor business pages. Export announcement text, dates, author labels, photos and visible reactions.
Nextdoor business recommendations scraperCollect public recommendations from Nextdoor business pages. Export recommendation text, source IDs, visible author labels and available post dates.

Data can include:

  • Businesses: Names, categories, descriptions and profile links.
  • Locations: Published addresses and available location information.
  • Contacts: Public phone numbers and available business contact details.
  • Recommendations: Recommendation text, visible author labels and available dates.
  • Posts: Announcements, publication dates and author labels.
  • Media and reactions: Public post photos, visible favorites and reactions.

How to scrape Nextdoor πŸš€

  1. Choose Business Search in What to collect, or select another collection mode.
  2. Fill in the search fields, or paste links to the items you want to collect.
  3. Set the maximum results and any optional filters.
  4. Start the Actor and review the collected rows.
  5. Export the dataset or connect it to your application.

Nextdoor business search scraper β€” input example

{
"mode": "business-search",
"searchQueries": [
"Coffee"
],
"city": "San Francisco",
"state": "CA",
"maxResults": 10
}

maxResults: 10 means up to 10 results for each input. It does not guarantee that the website has that many matches. You can set the limit as low as 1.

Nextdoor business profiles scraper β€” input example

{
"mode": "business-details",
"businessUrls": [
"https://nextdoor.com/pages/neighbarista-newhall-newhall-ca/"
],
"maxResults": 10
}

Nextdoor business posts scraper β€” input example

{
"mode": "business-posts",
"businessUrls": [
"https://nextdoor.com/pages/neighbarista-newhall-newhall-ca/"
],
"maxResults": 10
}

Nextdoor business recommendations scraper β€” input example

{
"mode": "business-recommendations",
"businessUrls": [
"https://nextdoor.com/pages/trader-joes-santa-cruz-ca/"
],
"maxResults": 10
}

Nextdoor data fields and complete output πŸ“¦

Field groupIncluded data
BusinessesNames, categories, descriptions and profile links.
LocationsPublished addresses and available location information.
ContactsPublic phone numbers and available business contact details.
RecommendationsRecommendation text, visible author labels and available dates.
PostsAnnouncements, publication dates and author labels.
Media and reactionsPublic post photos, visible favorites and reactions.

Each collected item is a separate row. input identifies the submitted value and result_type identifies the selected mode. All returned fields appear in one table; columns that do not apply to a mode can be empty.

A complete JSON result is shown for every collection mode below, in the same order as the input examples. Each example includes every field for its mode; text and lists are not shortened. Values are representative and can change.

Nextdoor business search scraper β€” complete JSON result

{
"result_type": "business-search",
"input": "Coffee",
"status": "success",
"id": "61330762",
"url": "https://nextdoor.com/page/andytown-san-francisco-ca?init_source=search",
"name": "Andytown Coffee β€” Richmond District",
"categories": [
"Coffee shop",
"Coffee Roaster"
],
"business_search.address": "800 Great Hwy, San Francisco, CA 94121",
"image_url": "https://us1-photo.nextdoor.com/business_gallery/44/ff/44ff1a9fe59224901039b6be82d64c35.jpg",
"public_summary": "3 neighbors are talking about this business",
"recommendation_previews": [],
"query": "Coffee",
"location": "san-francisco--ca"
}

Nextdoor business profiles scraper β€” complete JSON result

{
"result_type": "business-details",
"input": "neighbarista-newhall-newhall-ca",
"status": "success",
"id": "business_35017460",
"url": "https://nextdoor.com/pages/neighbarista-newhall-newhall-ca/",
"slug": "neighbarista-newhall-newhall-ca",
"name": "Neighbarista - Newhall",
"description": "We are the kids of Good Neighbor Restaurant in Studio City. We specialize in serving you the best breakfast SCV has to offer. We are 40 year residents and high school alumni for a town we love very much. Our roots run deep and our heart is all about being a good neighbor to our community.",
"phone": "+16612882217",
"business_details.address.street_number": "23120",
"business_details.address.street": "Lyons Avenue",
"business_details.address.unit": "#24",
"business_details.address.city": "Newhall",
"business_details.address.state": "CA",
"business_details.address.postal_code": "91321",
"business_details.address.country": "US",
"business_details.address.formatted": "Newhall, CA",
"latitude": 34.379717,
"longitude": -118.537189,
"address_hidden": false,
"fave_count": 178,
"connections_count": 0,
"categories": [
"Restaurant",
"Breakfast & brunch",
"Coffee shop"
],
"avatar_url": "https://us1-photo.nextdoor.com/business_logo/53/c9/53c9d4116093e3796ef26b32e6d778b4.jpeg",
"cover_url": "https://us1-photo.nextdoor.com/business_gallery/81/0b/810b399caab32dcf3feab4f080bba587.jpg"
}

Nextdoor business posts scraper β€” complete JSON result

{
"result_type": "business-posts",
"input": "neighbarista-newhall-newhall-ca",
"status": "success",
"id": "post_461888885",
"url": null,
"business_slug": "neighbarista-newhall-newhall-ca",
"source_type": "POST",
"title": "Currently looking for a host/server.",
"text": "Currently looking for a host/server. Please send resume to neighbarista@gmail.com",
"created_at": "2026-03-06T02:20:36.614000Z",
"author.name": "Neighbarista - Newhall",
"author.location": null,
"author.avatar_url": "https://us1-photo.nextdoor.com/business_logo/53/c9/53c9d4116093e3796ef26b32e6d778b4.jpeg",
"author.page_id": "entity_35017460",
"photos": [],
"reactions.name": [
"like2"
],
"reactions.count": [
2
],
"comment_previews.id": [],
"comment_previews.text": [],
"comment_previews.author_name": [],
"comment_previews.created_at": []
}

Nextdoor business recommendations scraper β€” complete JSON result

{
"result_type": "business-recommendations",
"input": "trader-joes-santa-cruz-ca",
"status": "success",
"id": "post_460722485",
"url": null,
"business_slug": "trader-joes-santa-cruz-ca",
"source_type": "POST",
"title": "Their service is awesome.",
"text": "If you don't like a product you can return it. There's always someone to ask to help you find something and if they are out of stock they will look it up and tell you when it will be back in. They unload and load up your items for you, everyone with a smile. Their bathrooms are kept clean and all around a great experience to shop at Trader Joes. Even their security person is welcoming and friendly.",
"created_at": "2026-02-28T18:19:28.886000Z",
"author.name": "C. C.",
"author.location": "Santa Cruz, CA",
"author.avatar_url": "https://d33c41ebahvfs6.cloudfront.net/static/nextdoorv2/images/avatars/color-24/c-b9c10876d737b1bca60631d353cf8747.png",
"author.page_id": null,
"photos": [],
"reactions.name": [
"like2",
"thank",
"agree"
],
"reactions.count": [
59,
2,
3
],
"comment_previews.id": [
"comment_1550715244"
],
"comment_previews.text": [
"And look at the ingredients on a lot of their items. Minimal compared to standard brands, and you can usually pronounce or recognize the ingredient."
],
"comment_previews.author_name": [
"E. P."
],
"comment_previews.created_at": [
"2026-03-07T15:56:22.711000Z"
]
}

Images, tags and other lists stay with their parent result instead of creating extra rows. Invalid or unavailable inputs, inputs with no results, and requests that fail after all retries produce a row with status: failed. At most one failed row is saved per input; it includes error_code and error_message explaining the outcome. A normal end of pagination after collected results does not add a failed row.

Input requirements and collection settings βš™οΈ

SettingWhat to enter
What to collect (mode)Choose the information to collect.
Maximum results per search or link (maxResults)Collect up to this many results for each search or link. Minimum: 1.
Business keywords (searchQueries)Enter a business name or service, one search per line. For Business Search.
City (city)US city to search. For Business Search.
State (state)Choose the US state. For Business Search.
Business page links (businessUrls)Paste one link per line. Example: https://nextdoor.com/pages/neighbarista-newhall-newhall-ca/ For Business Details, Business Posts, Business Recommendations.
Collection modeFields to use
Business DetailsBusiness page links
Business PostsBusiness page links
Business RecommendationsBusiness page links
Business SearchBusiness keywords, City, State

The result limit applies separately to each search or supplied link. Collection ends earlier when no more matching results are available.

Nextdoor scraping use cases 🎯

Local market mapping

Find businesses by category and city to compare the local service landscape.

Directory enrichment

Add public profile descriptions, addresses and phone numbers to business records.

Customer feedback research

Review recommendations to understand how customers describe local businesses.

Competitor monitoring

Collect public business announcements and compare messaging.

Service provider research

Combine profile information and recommendations when evaluating a local shortlist.

Pricing and saved-result behavior πŸ’°

See the Actor's Pricing tab for the active pricing model and current rate. Store settings may change, so this README does not claim a fixed cost.

Under dataset-item pricing:

  • Each collected item saved in the dataset is one result.
  • Images, tags and other values attached to that item do not create additional rows.
  • Automatic retry attempts do not create extra dataset rows.
  • A saved failed row is also one billable dataset item, including invalid inputs, unavailable items, no results, or exhausted retries. At most one failed row is saved per input, including when some results were already collected.
  • maxResults caps all saved rows for each input, including its failed row. Repeated copies of the same input are processed once. More inputs or a higher limit can produce more saved results.

Nextdoor scraper API and integrations πŸ”Œ

Replace $ACTOR_ID with the ID shown in the Actor API tab and $APIFY_TOKEN with your token.

curl -X POST "https://api.apify.com/v2/acts/$ACTOR_ID/runs?token=$APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"mode":"business-search","searchQueries":["Coffee"],"city":"San Francisco","state":"CA","maxResults":10}'

Use schedules for recurring collection, webhooks for completion notifications, and Apify integrations for Google Sheets, Make, Zapier, cloud storage, a CRM or your own application.

Reliability, retries, and public-data limits ⚠️

Temporary connection errors, timeouts and access restrictions are retried automatically, up to five attempts. Invalid inputs save a failed row without an HTTP request; confirmed unavailable items save a failed row without unnecessary retries. Exhausted retries also save a failed row. Results already collected remain available if a later request fails, and normal pagination completion adds no error row. Collection also stops after two consecutive fully processed pages add no new results, even if the website provides another cursor. Required detail lookups are completed before checking a page; new results reset the counter, and independent reply branches are checked separately. Failures while initializing the Actor, saving data or scheduling requests stop the run instead of being reported as a failed website result.

The actor covers public business pages, not private neighborhood conversations or member-only content.

Nextdoor controls which information is publicly available. Removed, private or restricted items may be unavailable, and optional values can be null or empty. A run can still fail if the results cannot be saved.

Frequently asked questions ❓

Does it require an account on Nextdoor?

No. You do not need to provide an account, password or login cookies. Only publicly available information is collected.

How does maxResults work?

It limits the number of saved results separately for every input. The minimum is 1. With maxResults set to 10, each input returns at most 10 available results. A detail lookup normally returns one record per input.

Does it collect neighborhood posts from residents?

No. The included modes focus on public business profiles, posts and recommendations.

Can I search a particular city?

Business Search uses a business query and the supported city setting to find local results.

Why are some fields empty?

The website may not publish that value, or the field may belong to a different collection mode. Missing values remain null or empty instead of being guessed.

Can I export the results to a spreadsheet?

Yes. Download CSV, Excel or JSON from the Apify dataset. All returned fields are included in the same results table.

Support and responsible use πŸ›Ÿ

For a reproducible issue, share the run ID, selected mode, result limit and a safe public example through the support channel. Never disclose access tokens, passwords or proxy credentials.

Use public Nextdoor information lawfully and responsibly. Follow applicable privacy, copyright, data-protection, contractual and platform requirements when storing, analyzing or redistributing results.