How We Bypassed Anti-Bot Systems to Scrape 74k Vinted Requests/Month

Situation

Data is the lifeblood of modern e-commerce analytics. For a recent project, we needed to monitor pricing trends and item availability across Vinted at scale. The goal was to extract up to 74,000 requests per month to feed our pricing intelligence engine and provide real-time alerts to our users.

Complication

Vinted, like many large marketplaces, employs aggressive anti-bot and rate-limiting systems. Standard scraping libraries like requests or BeautifulSoup were getting blocked almost instantly. Proxies were getting burned, CAPTCHAs were popping up everywhere, and Datadome was having a field day with our initial attempts. We needed a robust, stealthy, and scalable way to extract the data without constantly fighting bans.

Question

How do you build a scraper that can consistently pull 74k+ requests per month from a heavily protected platform like Vinted without triggering anti-bot defenses or burning through expensive proxy pools?

Answer

The solution wasn't just rotating proxies; it was mimicking human behavior perfectly at the TLS and browser fingerprint level. We built the Vinted Smart Scraper using a combination of residential proxies, automated browser orchestration with stealth plugins, and request header spoofing.

Here is the architectural flow of how we handled the requests:

graph TD
    A[Scraper Engine] -->|Queue Request| B(Proxy Manager)
    B -->|Assign Residential IP| C{TLS Fingerprint Spoofing}
    C -->|Bypass Datadome| D[Headless Browser session]
    D -->|Mimic Human Delay| E[Vinted API/Web]
    E -->|JSON/HTML Response| F[Data Extractor]
    F -->|Clean Data| G[(Database)]
    C -.->|Blocked/Captcha| B

To achieve this, we had to manipulate the TLS fingerprinting that Datadome uses to detect automated scripts. We used a customized fetcher that spoofs the JA3/JA4 fingerprints of a standard Chrome browser.

Here's a simplified example of how we handle the fetch logic with stealth headers:

// Core Engine: Stealth TLS Fetcher with Residential Proxy Rotation
const { stealthFetch } = require('stealth-request-lib');
const proxyRotator = require('./proxy-manager');

async function scrapeVintedItem(itemId) {
    const proxy = await proxyRotator.getResidentialProxy('FR');

    const headers = {
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36',
        'Accept-Language': 'fr-FR,fr;q=0.9,en-US;q=0.8,en;q=0.7',
        'Sec-Ch-Ua': '"Not_A Brand";v="8", "Chromium";v="120", "Google Chrome";v="120"',
        'Sec-Ch-Ua-Mobile': '?0',
        'Sec-Ch-Ua-Platform': '"Windows"',
        'Sec-Fetch-Dest': 'document',
        'Sec-Fetch-Mode': 'navigate',
        'Sec-Fetch-Site': 'none',
        'Sec-Fetch-User': '?1',
        'Upgrade-Insecure-Requests': '1'
    };

    try {
        const response = await stealthFetch(`https://www.vinted.fr/api/v2/items/${itemId}`, {
            headers: headers,
            proxy: proxy,
            tlsFingerprint: 'chrome_120', // Spoof TLS JA3
            timeout: 15000
        });

        if (response.status === 200) {
            return await response.json();
        } else {
            console.log(`Failed with status: ${response.status}. Rotating proxy...`);
            await proxyRotator.markProxyAsBurned(proxy);
            return null;
        }
    } catch (error) {
        console.error("Scraping blocked or network error:", error);
        return null;
    }
}

By heavily focusing on the network layer and mimicking human interactions, our engine easily scales to 74k requests a month with minimal block rates.

The reality? Maintaining this infrastructure, rotating residential proxies, and constantly reverse-engineering TLS fingerprints when Datadome updates is a massive headache.

If you just need the data without building and maintaining the bypass yourself, we packaged the whole engine into a ready-to-use API.

Check it out and run it directly here: Vinted Smart Scraper on Apify.