Amazon Product Tracking: Scraper Code Samples (PHP, Node.js, Rust)

Tracking Amazon product prices and availability is one of the most popular e-commerce scraping use cases — for repricing, competitor monitoring, and deal alerts. Amazon's anti-bot systems make raw requests unreliable, so the samples below route requests through the Bright Data Web Unlocker (which handles CAPTCHAs, fingerprinting, and IP rotation) and then parse the product page for title, price, availability, and rating.

Prerequisites

Set a PROXY_URL pointing at your Web Unlocker zone:

export PROXY_URL="http://brd-customer-<id>-zone-<unblocker_zone>:<password>@brd.superproxy.io:22225"

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We identify products by their ASIN (the 10-character ID in every Amazon URL, e.g. B08N5WRWNW).

PHP

<?php
// Run: php amazon.php B08N5WRWNW
$proxy = getenv('PROXY_URL');
$asin  = $argv[1] ?? 'B08N5WRWNW';

$ch = curl_init("https://www.amazon.com/dp/$asin");
curl_setopt_array($ch, [
    CURLOPT_RETURNTRANSFER => true,
    CURLOPT_FOLLOWLOCATION => true,
    CURLOPT_PROXY          => $proxy,
    CURLOPT_SSL_VERIFYPEER => false,
    CURLOPT_TIMEOUT        => 60,
    CURLOPT_HTTPHEADER     => ['Accept-Language: en-US,en;q=0.9'],
]);
$html = curl_exec($ch);
curl_close($ch);

$doc = new DOMDocument();
@$doc->loadHTML($html);
$xp = new DOMXPath($doc);

$text = function (string $q) use ($xp): ?string {
    $node = $xp->query($q)->item(0);
    return $node ? trim($node->textContent) : null;
};

$product = [
    'asin'         => $asin,
    'title'        => $text('//*[@id="productTitle"]'),
    'price'        => $text('(//span[@class="a-price"]//span[@class="a-offscreen"])[1]'),
    'availability' => $text('//*[@id="availability"]//span'),
    'rating'       => $text('//*[@id="acrPopover"]//span[@class="a-icon-alt"]'),
];

echo json_encode($product, JSON_PRETTY_PRINT | JSON_UNESCAPED_SLASHES), PHP_EOL;

Node.js

// amazon.mjs — node amazon.mjs B08N5WRWNW
// Install: npm i axios https-proxy-agent cheerio
import axios from 'axios';
import { HttpsProxyAgent } from 'https-proxy-agent';
import * as cheerio from 'cheerio';

const agent = new HttpsProxyAgent(process.env.PROXY_URL);
const asin = process.argv[2] ?? 'B08N5WRWNW';

const { data: html } = await axios.get(`https://www.amazon.com/dp/${asin}`, {
  httpsAgent: agent,
  proxy: false,
  timeout: 60_000,
  headers: { 'Accept-Language': 'en-US,en;q=0.9' },
});

const $ = cheerio.load(html);
const product = {
  asin,
  title: $('#productTitle').text().trim(),
  price: $('span.a-price span.a-offscreen').first().text().trim(),
  availability: $('#availability span').first().text().trim(),
  rating: $('#acrPopover span.a-icon-alt').first().text().trim(),
};

console.log(JSON.stringify(product, null, 2));

Rust

// Cargo.toml:
//   reqwest = { version = "0.12", features = ["blocking"] }
//   scraper = "0.20"
//   serde_json = "1"
use scraper::{Html, Selector};

fn main() -> Result<(), Box<dyn std::error::Error>> {
    let asin = std::env::args().nth(1).unwrap_or_else(|| "B08N5WRWNW".into());

    let client = reqwest::blocking::Client::builder()
        .proxy(reqwest::Proxy::all(std::env::var("PROXY_URL")?)?)
        .danger_accept_invalid_certs(true)
        .build()?;

    let html = client
        .get(format!("https://www.amazon.com/dp/{asin}"))
        .header("Accept-Language", "en-US,en;q=0.9")
        .send()?
        .text()?;

    let doc = Html::parse_document(&html);
    let pick = |sel: &str| {
        Selector::parse(sel)
            .ok()
            .and_then(|s| doc.select(&s).next())
            .map(|el| el.text().collect::<String>().trim().to_string())
    };

    let product = serde_json::json!({
        "asin": asin,
        "title": pick("#productTitle"),
        "price": pick("span.a-price span.a-offscreen"),
        "availability": pick("#availability span"),
        "rating": pick("#acrPopover span.a-icon-alt"),
    });

    println!("{}", serde_json::to_string_pretty(&product)?);
    Ok(())
}

From Scraper to Tracker

To turn this into a price tracker:

1. Store each run — write {asin, price, timestamp} to a database or CSV on every scrape.
2. Schedule it — run the script on a cron job (e.g. hourly or daily).
3. Compare and alert — diff the latest price against the previous one and trigger an email/Slack alert when it drops below your threshold.

Amazon's CSS classes shift occasionally and vary by category/locale. If a field comes back empty, re-inspect the live page and adjust the selector.

See our E-commerce Web Scraping Solutions overview, the Bright Data Web Unlocker review, and How to Avoid Getting Blocked.

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