piotrv1001/how-to-scrape-jiji-in-nodejs

How to scrape Jiji marketplace listings across Nigeria, Kenya, Ghana, Tanzania and Uganda in Node.js using an Apify actor # How to Scrape Jiji in Node.js This repository shows how to scrape Jiji — Africa's largest online classifieds marketplace — using Node.js and the Jiji Listings Scraper on Apify. One input field switches between **five country marketplaces**: Nigeria, Kenya, Ghana, Tanzania, and Uganda. Instead of building a scraper from scratch — and, more to the point, instead of sourcing residential proxies in five African countries — this example calls a ready-made Apify actor and processes the structured results. ## What this example does - Calls the `piotrv1001/jiji-listings-scraper` actor on Apify - Scrapes the Lagos car market within a price band - Waits for the actor run to finish - Fetches all items from the run's default dataset - Prints each listing to the console ## Prerequisites - Node.js 18 or newer - An Apify account (free tier works) - Your Apify API token — find it in Apify Console → Settings → API & Integrations ## Installation ```bash npm install ``` ## Environment setup Copy the example env file and add your token: ```bash cp .env.example .env ``` Then open `.env` and replace `your_apify_token_here` with your real Apify API token. ## Usage ```bash npm start ``` You should see the run start, a link to the dataset in Apify Console, and the scraped listings logged to your terminal. ## Code example ```js import { ApifyClient } from 'apify-client'; import 'dotenv/config'; // Initialize the ApifyClient with your Apify API token // Set APIFY_TOKEN in your .env file (copy .env.example to get started) const client = new ApifyClient({ token: process.env.APIFY_TOKEN, }); // Prepare Actor input // `country` picks the marketplace (ng, ke, gh, tz, ug) and the proxy region is // matched automatically. Set `scrapeItemDetails` to true for view counts, // favorite counts, posting dates and seller contacts (one extra request each). const input = { "country": "ng", "categorySlug": "cars", "regionSlug": "lagos", "priceMin": 5000000, "priceMax": 50000000, "maxIte …