.actor

Exports menu items from the Uber Eats Website

uber-eats-menu-scraper

Uber Eats Menu Scraper

.actor/actor.json

// This is the main Node.js source code file of your actor.
// An actor is a program that takes an input and produces an output.

// For more information, see https://sdk.apify.com/
import { Actor } from 'apify';
import { UberEats } from './ubereats.js';

await Actor.init()

console.log('Loading input');
const input = await Actor.getInput();
console.log('Uber Eats URL: ', input?.url);

const client = new UberEats(input?.url);
const fields = await client.getKeys(['@id','hasMenu']);

const menu = await client.getMenu();

const items = [];
menu.forEach((category) => {
        category.items.forEach((item) => {
            items.push({
                category: category.name,
                item_name: item.name,
                description: item.description,
                price: item.price
            })
        });
    
    });

for(var i = 0; i < items.length; i++) {
    await Actor.pushData(items[i]);
}

 await Actor.exit();

// fields.then(async () => {
//     let items = [];
//     client.getMenu().forEach((category) => {
//         category.items.forEach((item) => {
//             items.push({
//                 url: input?.url,
//                 category: category.name,
//                 item_name: item.name,
//                 description: item.description,
//                 price: item.price
//             })
//         });
    
//     });
//     return items;
// }).then(async (items) => {

//     items.forEach((item) => {
//         await Actor.push(item);
//     });

//     await Actor.exit();
// });




src/main.js

import axios from 'axios';
import cheerio from "cheerio";

export function UberEats(url) {

    const client = axios.create({
        timeout: 5000,
        headers: {'user-agent' : 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/103.0.0.0 Safari/537.36'}
    });

    return {
        url: url,
        data: null,
        fetchJSON: fetchJSON,
        get: get,
        getKeys: getKeys,
        getData: getData,
        getMenu: getMenu
    };

    async function getMenu() {

        if (this.data.hasMenu && this.data.hasMenu.hasMenuSection) {
            return this.data.hasMenu.hasMenuSection.filter(function (section) {
                return section.name.indexOf('Picked for you') === -1;
            }).map(function (section) {
                return {
                    name: section.name,
                    items: section.hasMenuItem.map(function (item) {
                        console.log(Object.keys(item));
                        return {
                            name: item.name,
                            price: '$'+item.offers.price,
                            description: item.description,
                        };
                    })
                };
            });
        }

        return false;
    }

    async function get(key) {
        var self = this;

        const value = await new Promise(async (resolve, reject) => {
            const d = await self.getData().then(function (data) {
                resolve(data[key]);
            });

            return d;
        });

        return value;
    }

    async function getKeys(keys) {
        var self = this;

        const values =  await new Promise(async (resolve, reject) => {
            const d = await self.getData().then(function (data) {

                console.log(Object.keys(data));

                resolve(keys.map((key) => {
                    return data[key];
                }));
            });

            return d;
        });

        return values;
    }

    async function getData(data) {
        var self = this;
        if (data) {
            const d = await new Promise((resolve, reject) => {
                resolve(data);
            });

            return d;
        } else {
            return self.fetchJSON()
        }
    }

    async function fetchJSON() {

        var self = this;

        const json = await client.get(this.url, {
            headers: {'user-agent' : 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/103.0.0.0 Safari/537.36'}
        }).then(response => {

            const html = response.data

            const start = html.indexOf('<script type="application/ld+json">') + 35;
            let json = html.substring(start, html.indexOf('</script>', start));
            this.data = JSON.parse(json);

            return self.data;

        }).catch(e => {
            console.error(e);
        });

        return json;
    }
}



src/ubereats.js

# configurations
.idea

# crawlee and apify storage folders
apify_storage
crawlee_storage
storage

# installed files
node_modules

# git folder
.git


.dockerignore

# Specify the base Docker image. You can read more about
# the available images at https://sdk.apify.com/docs/guides/docker-images
# You can also use any other image from Docker Hub.
FROM apify/actor-node:16

# Copy just package.json and package-lock.json
# to speed up the build using Docker layer cache.
COPY package*.json ./

# Install NPM packages, skip optional and development dependencies to
# keep the image small. Avoid logging too much and print the dependency
# tree for debugging
RUN npm --quiet set progress=false \
    && npm install --omit=dev --omit=optional \
    && echo "Installed NPM packages:" \
    && (npm list --omit=dev --all || true) \
    && echo "Node.js version:" \
    && node --version \
    && echo "NPM version:" \
    && npm --version \
    && rm -r ~/.npm

# Next, copy the remaining files and directories with the source code.
# Since we do this after NPM install, quick build will be really fast
# for most source file changes.
COPY . ./


# Run the image.
CMD npm start --silent


Dockerfile

Example: https://www.ubereats.com/nz/store/pizza-hut-newtown/8F10LUogSqWYO1ajzth5sQ

The URL of the store you want to scrape

INPUT_SCHEMA.json

# The Uber Eats Menu Scraper

This is a lightweight menu scraper designed to extract the menu from any UberEats website. 

## Input

url: The URL of the Uber Eats Store
format: https://www.ubereats.com/nz/store/pizza-hut-newtown/8F10LUogSqWYO1ajzth5sQ

## Output

A list of menu items. Each row contains the Category, Item name, Item Description, Price

Uber Eats Menu Scraper

Input

Output

Industries

Where next?