# Nextdoor Business Scraper: Search, Reviews & Profiles (`scrapingmonkey/nextdoor-scraper`) Actor

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.

- **URL**: https://apify.com/scrapingmonkey/nextdoor-scraper.md
- **Developed by:** [ScrapingMonkey](https://apify.com/scrapingmonkey) (community)
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

**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 glance | Details |
|---|---|
| 📥 Input | Search fields or links to the selected items; see the examples below |
| 📤 Output | One row per business, public business post or recommendation, depending on the mode |
| 📄 Pagination | Automatic up to `maxResults` for each input, when more results are available |
| 🔐 Login required | No |
| ⚡ Processing | Multiple inputs per run with automatic retries for temporary errors |
| 💾 Delivery | One complete Apify dataset table; CSV, JSON and Excel export |

### What the Nextdoor scraper collects 📦

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.

| Collection | What you receive |
|---|---|
| Nextdoor business search scraper | Find local businesses by query and city on Nextdoor. Export names, addresses, categories, profile links and visible recommendation snippets. |
| Nextdoor business profiles scraper | Extract public Nextdoor business profiles with names, descriptions, phone numbers, addresses, locations and visible favorite counts. |
| Nextdoor business posts scraper | Collect public posts from Nextdoor business pages. Export announcement text, dates, author labels, photos and visible reactions. |
| Nextdoor business recommendations scraper | Collect 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 🚀

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 — input example

```json
{
  "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 — input example

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

#### Nextdoor business posts scraper — input example

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

#### Nextdoor business recommendations scraper — input example

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

### Nextdoor data fields and complete output 📦

| Field group | Included data |
|---|---|
| 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. |

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 — complete JSON result

```json
{
  "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 — 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 — complete JSON result

```json
{
  "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 — complete JSON result

```json
{
  "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 — complete JSON result

```json
{
  "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 ⚙️

| Setting | What 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 mode | Fields to use |
|---|---|
| Business Details | **Business page links** |
| Business Posts | **Business page links** |
| Business Recommendations | **Business page links** |
| Business Search | **Business 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 💰

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 🔌

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

```bash
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 🛟

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.

# Actor input Schema

## `mode` (type: `string`):

Choose the information to collect.

## `maxResults` (type: `integer`):

Collect up to this many results for each search or link. Minimum: 1.

## `searchQueries` (type: `array`):

Enter a business name or service, one search per line. For Business Search.

## `city` (type: `string`):

US city to search. For Business Search.

## `state` (type: `string`):

Choose the US state. For Business Search.

## `businessUrls` (type: `array`):

Paste one link per line. Example: https://nextdoor.com/pages/neighbarista-newhall-newhall-ca/ For Business Details, Business Posts, Business Recommendations.

## Actor input object example

```json
{
  "mode": "business-search",
  "maxResults": 10,
  "searchQueries": [
    "Coffee"
  ],
  "city": "San Francisco",
  "state": "CA",
  "businessUrls": [
    "https://nextdoor.com/pages/neighbarista-newhall-newhall-ca/"
  ]
}
```

# Actor output Schema

## `results` (type: `string`):

Collected entities and failed input outcomes, with all available fields and error explanations in one dataset.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "mode": "business-search",
    "maxResults": 10,
    "searchQueries": [
        "Coffee"
    ],
    "city": "San Francisco",
    "state": "CA",
    "businessUrls": [
        "https://nextdoor.com/pages/neighbarista-newhall-newhall-ca/"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapingmonkey/nextdoor-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "mode": "business-search",
    "maxResults": 10,
    "searchQueries": ["Coffee"],
    "city": "San Francisco",
    "state": "CA",
    "businessUrls": ["https://nextdoor.com/pages/neighbarista-newhall-newhall-ca/"],
}

# Run the Actor and wait for it to finish
run = client.actor("scrapingmonkey/nextdoor-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "mode": "business-search",
  "maxResults": 10,
  "searchQueries": [
    "Coffee"
  ],
  "city": "San Francisco",
  "state": "CA",
  "businessUrls": [
    "https://nextdoor.com/pages/neighbarista-newhall-newhall-ca/"
  ]
}' |
apify call scrapingmonkey/nextdoor-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapingmonkey/nextdoor-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/BZFbCCT13yG5omJrC/builds/jBKeMpYU0sibSlHYI/openapi.json