Real reviews vs service requests

Half of what looks like Nextdoor reviews is neighbors asking for a provider. Every row gets a kind field, 95.6% accurate.

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Nextdoor Business & Reviews Scraper
Nextdoor Business & Reviews Scraperoswaldocarabano/nextdoor-scraper
Recommendations
Business
City
Kind
+13 fields
Text
Number
Boolean
List
Object

Input

Cities:laguna-niguel--ca
Business categories:Plumber+2
Only businesses located in the requested city:true
Business URLs
Max businesses per city:90
Include neighbor recommendations:true
Max recommendations per business:200
Include city data:false
Include business posts:false
Include public neighbor posts:false
Include the author's neighborhood on posts:false
Expand to nearby cities:false
Cap on expanded cities:3
Max concurrency:5
Maximum acceptable age of the data:0

Output fields

Recommendations
Business
City
Kind
Confidence
Text
Author
Author city
State
Sentiment
Chars
Signals
Secondary
ID
Business URL
From cache
Age (h)

How it works

Sign up on Apify01

Create your Apify account to access the Nextdoor Business & Reviews Scraper.

Start the run02

The Actor will start running based on the input automatically.

Receive the output03

Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.

Integrate into your workflow04

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.

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