Pricing

from $0.80 / 1,000 results

Uber Car Rental Scraper

Mobility intelligence tool built to extract live fare estimates, ETA metrics, and dynamic surge pricing data directly from Uber’s marketplace layer. With precise origin and destination details, the scraper systematically breaks down every available ride tier. Audit localized transportation cost live

Pricing

from $0.80 / 1,000 results

Rating

0.0

(0)

Developer

SASWAVE

Actor stats

Bookmarked

Total users

Monthly active users

10 days ago

Last modified

Categories

Automation

Developer tools

E-commerce

You can access the Uber Car Rental Scraper 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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    "pickup": {
12        "latitude": 48.858370099999995,
13        "longitude": 2.2944812999999997
14    },
15    "dropoff": {
16        "latitude": 48.8606111,
17        "longitude": 2.337644
18    },
19    "user_location": {
20        "latitude": 48.862107718567835,
21        "longitude": 2.316450000000017
22    }
23};
24
25// Run the Actor and wait for it to finish
26const run = await client.actor("saswave/uber-car-rental-scraper").call(input);
27
28// Fetch and print Actor results from the run's dataset (if any)
29console.log('Results from dataset');
30console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
31const { items } = await client.dataset(run.defaultDatasetId).listItems();
32items.forEach((item) => {
33    console.dir(item);
34});
35
36// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Uber Car Rental Scraper API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Uber Car Rental 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:

Uber Car Rental Scraper API in Python

Uber Car Rental Scraper API through CLI

Uber Car Rental Scraper OpenAPI definition

Uber Car Rental Scraper API

Uber Ride Scraper

saswave/uber-ride-scraper

SASWAVE

Uber Eats Scraper

gio21/ubereats-scraper

Scrape Uber Eats restaurants by location. Name, rating, cuisine, delivery fee, ETA, image. Pay per restaurant.

Gio

Uber Eats Email Scraper

scrapapi/uber-eats-email-scraper

ScrapAPI

Uber Eats Email Scraper

scrapio/uber-eats-email-scraper

Uber Eats Email Scraper helps you collect restaurant emails directly from Uber Eats pages. Use the data for supplier outreach, partnerships, and local sales campaigns. Fast, scalable scraping with clean, export-ready results.

Scrapio

Uber Eats Email Scraper

api-empire/uber-eats-email-scraper

Automate email extraction from Uber Eats with Uber Eats Email Scraper. The actor scans listings and pulls available contact emails into structured datasets for CRM enrichment and automated lead pipelines.

API Empire

Uber Eats Phone Number Scraper

scrapio/uber-eats-phone-number-scraper

Uber Eats Phone Number Scraper helps you collect restaurant phone numbers directly from Uber Eats pages. Use the data for supplier outreach, partnerships, and local sales campaigns. Fast, scalable scraping with clean, export-ready results.

Scrapio

Uber Eats Phone Number Scraper

scraperx/uber-eats-phone-number-scraper

ScraperX

Uber Eats Phone Number Scraper

scrapemesh/uber-eats-phone-number-scraper

ScrapeMesh

Uber Eats Phone Number Scraper

scrapeflow/uber-eats-phone-number-scraper

ScrapeFlow

Uber Eats Menu Scraper

piotrv1001/uber-eats-menu-scraper

The Uber Eats Listings Scraper extracts restaurant and store data from Uber Eats — full menus with prices and item IDs, ratings, reviews, addresses, geo coordinates, phone numbers, opening hours, and delivery methods. Supports sitemap, category, and direct-URL discovery across 25+ Uber Eats markets.