DineFilter
Pricing
Pay per event
DineFilter
Say what you want to eat and where, we'll find it
0.0 (0)
Pricing
Pay per event
0
Monthly users
5
Runs succeeded
>99%
Last modified
23 days ago
You can access the DineFilter programmatically from your own 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 "prompt": "Find me a place for lunch at Václavské náměstí"
12};
13
14// Run the Actor and wait for it to finish
15const run = await client.actor("ohlava/dinefilter").call(input);
16
17// Fetch and print Actor results from the run's dataset (if any)
18console.log('Results from dataset');
19console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
20const { items } = await client.dataset(run.defaultDatasetId).listItems();
21items.forEach((item) => {
22 console.dir(item);
23});
24
25// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docsDineFilter API in JavaScript
The Apify API client for JavaScript is the official library that allows you to use DineFilter API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.
Install the apify-client
npm install apify-clientOther API clients include:
Pricing
Pricing model
Pay per eventThis Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.
Initial setup
$0.100
Initial setup of your restaurant search
Search Google maps
$0.200
Searching Google Maps for restaurants
Scrape web content
$0.100
Fetching restaurant website content
Analyze restaurants and reviews
$0.100
Analyzing restaurant reviews and data
Recommend best
$0.100
Finalizing restaurant recommendations
