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Yelp Scraper

Under maintenance
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Pay $2.50 for 1,000 Results

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Yelp Scraper

Yelp Scraper

tri_angle/yelp-scraper
Try for free

Pay $2.50 for 1,000 Results

Free Yelp web scraper to extract data from Yelp. Fast Yelp review scraper, but also gets business details and ratings without using the Yelp API.

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You can access the Yelp Scraper programmatically from your own JavaScript applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11    "searchTerms": [
12        "Pizza"
13    ],
14    "locations": [
15        "New York"
16    ],
17    "searchLimit": 10,
18    "maxImages": 1,
19    "reviewLimit": 5,
20    "reviewsLanguage": "ALL"
21};
22
23// Run the Actor and wait for it to finish
24const run = await client.actor("tri_angle/yelp-scraper").call(input);
25
26// Fetch and print Actor results from the run's dataset (if any)
27console.log('Results from dataset');
28console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
29const { items } = await client.dataset(run.defaultDatasetId).listItems();
30items.forEach((item) => {
31    console.dir(item);
32});
33
34// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Free Yelp Web Scraper - get reviews and more API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Yelp Scraper API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

npm install apify-client

Other API clients include:

Developer
Maintained by Apify

Actor Metrics

  • 104 monthly users

  • 26 stars

  • >99% runs succeeded

  • 21 hours response time

  • Created in Dec 2019

  • Modified 3 days ago

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