FROM apify/actor-node:16

COPY package.json ./

RUN npm --quiet set progress=false \
 &amp;&amp; npm install --only=prod --no-optional

COPY . ./

Dockerfile

{
 "title": "Wiggle (wiggle.com) scraper",
 "description": "Scrapes products titles, prices, images and availability. Does NOT scrape product details.",
 "type": "object",
 "schemaVersion": 1,
 "properties": {
 "mode": {
 "title": "Mode",
 "description": "",
 "type": "string",
 "editor": "select",
 "default": "TEST",
 "prefill": "TEST",
 "enumTitles": [
 "TEST",
 "FULL"
 ],
 "enum": [
 "TEST",
 "FULL"
 ]
 },
 "debug": {
 "title": "Debug",
 "description": "Debug mode prints more logs, disables concurrency and other optimizations.",
 "type": "boolean",
 "editor": "checkbox",
 "default": false
 }
 },
 "required": [
 "mode"
 ]
}

INPUT_SCHEMA.json

# Wiggle (wiggle.com) scraper

## Beware 
 Original price is calculated from current price and discount percentage, so it might be inaccurate. Original price is not present on the listing page. 
 Only works with USD currency at the moment. 
 Price and availability differs a lot on specific product variant – that is not handled by the scraper at the moment. Lowest price, and highest discount are scraped.

## Output example

* **itemId** `string`
* **itemName** `string`
* **itemUrl** `string`
* **img** `string`
* **inStock** `boolean`
* **currentPrice** `number`
* **originalPrice** `number`
* **currency** `string`

README.md

{
 "name": "wiggle-wiggle-com-scraper",
 "version": "0.1",
 "buildTag": "latest",
 "env": null,
 "defaultRunOptions": {
 "build": "latest",
 "timeoutSecs": 3600,
 "memoryMbytes": 1024
 }
}

apify.json

main.js

{
 "name": "wiggle-wiggle-com-scraper",
 "description": "Scrapes products titles, prices, images and availability. Does NOT scrape product details.",
 "type": "module",
 "scripts": {
 "start": "node ./main.js",
 "push-to-apify-platform": "npx apify push"
 },
 "dependencies": {
 "apify": "*"
 },
 "apify": {
 "title": "Wiggle (wiggle.com) scraper",
 "description": "Scrapes products titles, prices, images and availability. Does NOT scrape product details.",
 "isPublic": true,
 "isDeprecated": false,
 "isAnonymouslyRunnable": true,
 "notice": "",
 "pictureUrl": "",
 "seoTitle": "",
 "seoDescription": "",
 "categories": [
 "ECOMMERCE"
 ]
 }
}

package.json

{
 "actorSpecification": 1,
 "name": "wiggle-wiggle-com-scraper",
 "title": "Wiggle (wiggle.com) scraper",
 "description": "Scrapes products titles, prices, images and availability. Does NOT scrape product details.",
 "version": "0.1.0",
 "storages": {
 "dataset": {
 "actorSpecification": 1,
 "title": "Wiggle (wiggle.com) scraper",
 "description": "Scrapes products titles, prices, images and availability. Does NOT scrape product details.",
 "views": {
 "overview": {
 "title": "Overview",
 "description": "Overview of the most important fields",
 "transformation": {
 "fields": [
 "itemId",
 "itemName",
 "itemUrl",
 "img",
 "inStock",
 "currentPrice",
 "originalPrice",
 "currency"
 ]
 },
 "display": {
 "component": "table",
 "columns": [
 {
 "label": "Item ID",
 "field": "itemUrl",
 "format": "link",
 "textField": "itemId"
 },
 {
 "label": "Item Name",
 "field": "itemName",
 "format": "text"
 },
 {
 "label": "Img",
 "field": "img",
 "format": "image"
 },
 {
 "label": "In Stock",
 "field": "inStock",
 "format": "boolean"
 },
 {
 "label": "Current Price",
 "field": "currentPrice",
 "format": "number"
 },
 {
 "label": "Original Price",
 "field": "originalPrice",
 "format": "number"
 },
 {
 "label": "Currency",
 "field": "currency",
 "format": "text"
 }
 ]
 }
 }
 }
 }
 }
}

.actor/actor.json

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

.actor/logo.png

FROM apify/actor-node:16

COPY package.json ./

RUN npm --quiet set progress=false \
  && npm install --only=prod --no-optional

COPY . ./

Scrapes products titles, prices, images and availability. Does NOT scrape product details.

Debug mode prints more logs, disables concurrency and other optimizations.

Debug

Mode

Wiggle (wiggle.com) scraper

# Wiggle (wiggle.com) scraper

## Beware  
 Original price is calculated from current price and discount percentage, so it might be inaccurate. Original price is not present on the listing page.  
 Only works with USD currency at the moment.  
 Price and availability differs a lot on specific product variant – that is not handled by the scraper at the moment. Lowest price, and highest discount are scraped.

## Output example

* **itemId** `string`
* **itemName** `string`
* **itemUrl** `string`
* **img** `string`
* **inStock** `boolean`
* **currentPrice** `number`
* **originalPrice** `number`
* **currency** `string`

wiggle-wiggle-com-scraper

import { URL } from "node:url";
import Apify from "apify";

const { log } = Apify.utils;

var LABEL;

(function (LABEL) {
 LABEL["INDEX"] = "INDEX";
 LABEL["PRODUCTS"] = "PRODUCTS";
})(LABEL || (LABEL = {}));
var MODE;

(function (MODE) {
 MODE["TEST"] = "TEST";
 MODE["FULL"] = "FULL";
})(MODE || (MODE = {}));

const BASE_URL = `https://www.wiggle.com`;
const PER_PAGE = 96;

async function enqueueInitialRequest(mode, requestQueue) {
 if (mode === MODE.FULL) {
 await requestQueue.addRequest({
 userData: { label: LABEL.INDEX },
 url: `${BASE_URL}/all-brands`,
 });
 } else if (mode === MODE.TEST) {
 await requestQueue.addRequest({
 userData: { label: LABEL.PRODUCTS },
 url: `${BASE_URL}/poc`,
 });
 }
}

const router = {
 [LABEL.INDEX]: async ({ $ }, { requestQueue }) => {
 $(`h2:contains("All brands") + .brandgroup .branditem a:first-child`).each(
 (i, el) => {
 const relUrl = $(el).attr(`href`); // urls are relative, starting with /
 const url = `${BASE_URL}${relUrl}`;
 void requestQueue.addRequest({
 userData: { label: LABEL.PRODUCTS },
 url,
 });
 }
 );
 },
 [LABEL.PRODUCTS]: async ({ $, request }, { requestQueue }) => {
 if (!request.url.includes(`?g=`)) {
 // on first page
 const totalItemsText = $(`#listing-page-header-title-row span`).text(); // e.g. `(856)`
 const totalItems = Number(totalItemsText.replace(/[^0-9]/g, ``));
 let offset = PER_PAGE; // initially 96
 while (offset < totalItems) {
 const url = new URL(request.url);
 url.searchParams.set(`g`, (offset + 1).toString()); // toString() to make TS happy
 void requestQueue.addRequest({
 userData: { label: LABEL.PRODUCTS },
 url: url.toString(),
 });
 offset += PER_PAGE;
 }

 $(`.js-result-list-item`).each((i, el) => {
 const id = $(el).attr(`data-id`);
 const url = $(el)
 .find(`a.bem-product-thumb__image-link--grid`)
 .attr(`href`);
 const title = $(el)
 .find(`a.bem-product-thumb__image-link--grid`)
 .attr(`title`);
 const priceRaw = $(el).find(`.bem-product-price__unit--grid`).text(); // e.g. €101.27 or "€28.47 - €69.90"
 const price = priceRaw.match(/\$([\d.]+)/)?.[1]; // TODO: Support both $ and €
 const discountRaw = $(el).find(`.bem-product_price__discount`).text(); // Save 30% - 45%

 let discount, priceOrig;
 if (discountRaw) {
 discount = discountRaw.match(/(\d+)%$/)[1]; // 45
 priceOrig = (price / (1 - discount / 100)).toFixed(2);
 }
 const img = $(el)
 .find(`.js-result-list-image`)
 .attr(`data-original`) // //www.wigglestatic.com/product-media/5360088903/1000-Mile-Women-s-Ultimate-Approach-Socks-Hiking-Socks-Navy-1998NLS-2.jpg?w=200&h=200&a=7
 // leading "//" -> https://
 .replace(/^\/\//, `https://`)
 // remove part after ?
 .replace(/\.jpg?.+/, `.jpg`);

 const inStock = null;
 const product = {
 itemId: id,
 itemName: title,
 itemUrl: url,
 img: img,
 inStock,
 currentPrice: parseFloat(price),
 originalPrice: priceOrig ? parseFloat(priceOrig) : null,
 currency: `USD`,

 // Derived
 discounted: !!(priceOrig && priceOrig !== price),
 _discount: discount / 100 ?? null,
 };
 Apify.pushData(product);
 });
 }
 },
};

Apify.main(async () => {
 const input = await Apify.getInput();
 const { debug = false, mode = MODE.FULL } = input ?? {};
 if (debug) Apify.utils.log.setLevel(Apify.utils.log.LEVELS.DEBUG);

 const requestQueue = await Apify.openRequestQueue();
 await enqueueInitialRequest(mode, requestQueue);

 const globalContext = { mode, requestQueue };
 const crawler = new Apify.CheerioCrawler({
 requestQueue,
 maxConcurrency: debug ? 1 : 3,
 maxRequestRetries: debug ? 0 : 3,
 preNavigationHooks: [
 async ({ request }) => {
 if (request.userData.label === LABEL.PRODUCTS) {
 const url = new URL(request.url);
 url.searchParams.set(`ps`, PER_PAGE.toString()); // toString() to make TS happy
 request.url = url.toString();
 }
 },
 ],
 async handlePageFunction(context) {
 await router[context.request.userData.label](context, globalContext);
 },
 async handleFailedRequestFunction({ request }) {
 log.error(`Request ${request.url} failed multiple times`, request);
 },
 });

 await crawler.run();
 log.info(`crawler finished`);
});

Beware

Output example

Where next?