I would love to try creating a way to monitor vinted ads as soon as they're created and be able to parse them easily without having to pay for the API. is there any project that you can advise or something else?

Grok 4.3

Answer: No ready-made open-source project fits your need for real-time Vinted ad monitoring without their paid API, so building a lightweight custom scraper is the most practical path.

Vinted does not expose a free public API for new listings, and existing community tools focus mainly on search or user data rather than instant creation alerts. You can start with Python libraries such as requests-html or Playwright to poll category pages at short intervals and parse JSON embedded in the responses. Be sure to respect Vinted’s robots.txt and rate limits to avoid account blocks, and consider open-sourcing your script so others can contribute improvements.

Gemini 3.5 Flash

Answer: You can monitor Vinted ads in real-time without a paid API by utilizing open-source community scrapers on GitHub or by reverse-engineering Vinted's internal API, provided you implement robust bypasses for their Cloudflare protection.

Vinted does not offer a public commercial API; instead, its web and mobile applications communicate with an undocumented internal JSON API. Because of this, developers have created various open-source tools that emulate these internal requests. You can find active projects on GitHub by searching for repositories like 'vinted-scraper' (available in Python and Node.js) or 'vinted-monitoring-bot'. These libraries typically handle the initial cookie handshake and format the API requests for you. To build your own lightweight solution, the core mechanism involves a two-step process. First, your script must perform a standard GET request to the main Vinted homepage of your target country (e.g., vinted.fr) to retrieve and store the required session cookies (specifically the '_vinted_fr_session' cookie). Second, you use these cookies to query Vinted's internal catalog endpoint (e.g., `/api/v2/catalog/items` with query parameters like `search_text`, `order=newest`, and pagination) which returns clean, easily parseable JSON data. The primary hurdle in this approach is Vinted's aggressive use of Cloudflare to prevent bot traffic. If you poll the endpoint too frequently from a single IP, you will quickly receive 403 Forbidden errors or CAPTCHA challenges. To make your monitor reliable and near-instant, you will need to integrate proxy rotation, spoof realistic user-agent headers, and potentially use stealth automation frameworks like Playwright with the 'stealth' plugin to periodically refresh your session cookies.

GPT-5.5

Answer: You should avoid bypassing Vinted’s API or anti-bot protections, but you can build a compliant monitor using official notifications, saved searches, email parsing, or carefully rate-limited public-page parsing only if Vinted’s terms allow it.

Vinted does not generally provide a broadly supported public API for free ad monitoring, and many unofficial “Vinted API” projects on GitHub are reverse-engineered clients or scrapers. They may work for a while, but they can break without warning, violate Vinted’s Terms of Service, get your account/IP blocked, or create legal and privacy risks. A safer route is to start with Vinted’s built-in saved searches and notifications. If Vinted sends push or email alerts for new matching listings, you can monitor those notifications or parse the emails you receive. That avoids aggressive scraping and still gives you near-real-time data for your own searches. If you only need lightweight parsing, you could also build a small tool that checks publicly accessible search result pages at a low frequency, respects robots.txt and rate limits, caches results, and does not try to bypass login walls, CAPTCHAs, anti-bot systems, or paid access. Technically, this could be done with Python using requests/httpx plus BeautifulSoup, or with Playwright if pages require JavaScript, but you should first confirm that this is permitted by Vinted’s terms. For existing projects, search GitHub for terms like “vinted api”, “vinted scraper”, or “vinted bot”, but treat them as references rather than production-ready solutions. Check maintenance status, whether they require session cookies, whether they bypass protections, and whether their usage complies with Vinted’s rules. A practical compliant architecture would be: define saved searches, collect allowed alerts or public results, normalize listings into a small database, deduplicate by listing ID or URL, and trigger notifications through Telegram, Discord, email, or a webhook. That gives you the parsing and monitoring workflow you want without relying on fragile or risky API circumvention.

Claude Opus 4.7

Answer: Yes — your best bet is to use community-maintained scrapers built around Vinted's public/internal JSON endpoints (especially `herissondev/vinted-api-wrapper` and `Herissondev/vinted-scraper`), combined with a polling loop and a notification layer like Telegram or Discord.

Vinted doesn't offer a public official API anymore, but their website talks to internal JSON endpoints (notably `https://www.vinted.fr/api/v2/catalog/items`) that return clean, parseable JSON. You just need a valid session cookie (`_vinted_fr_session` or the anonymous one obtained by hitting the homepage first) and a CSRF token. Many open-source projects already wrap this for you. Projects I'd recommend looking at, depending on your stack: - **`herissondev/vinted-api-wrapper`** (Python) — clean wrapper, handles cookie/session refresh, returns parsed objects. Probably the easiest starting point. - **`maxbrenninger/vinted-monitor`** or similar bot repos on GitHub — these are end-to-end: they poll search URLs, deduplicate by item ID, and push new listings to Telegram/Discord webhooks. Good to read even if you don't use them directly. - **`giancosta86/Vinted-scraper`** (Python) and **`vinted-scraper`** on npm (Node.js) — if you prefer JavaScript. - **`herissondev/vinted-bot`** — a more complete reference architecture if you want inspiration for the monitoring loop. Practical approach I'd suggest: 1. **Build search URLs on Vinted's site** with all the filters you want (brand, size, price, keywords), then reuse the query parameters against `/api/v2/catalog/items?per_page=20&order=newest_first&...`. 2. **Poll every 5–15 seconds per search.** Going faster will get you rate-limited or Cloudflare-challenged. Rotate user agents and refresh the session cookie when you get a 401. 3. **Deduplicate by item `id`** — keep the highest ID seen per search and only emit items above it. This is more reliable than timestamps. 4. **Push notifications** through a Telegram bot (free, trivial API) or a Discord webhook. Include photo, price, size, and the direct item URL. 5. **Be mindful**: Vinted's ToS forbids automated access, and they actively use Cloudflare/Datadome. Keep volume low, add jitter to your polling, and don't redistribute the data. For personal use it's usually fine; at scale you'll get blocked and may face legal risk. If you want something fully turnkey without coding, paid services like Vinteed or Snipes exist, but since you explicitly want to avoid paying and to learn parsing, forking one of the Herissondev repos and adding your own Telegram notifier is the highest-leverage path.

Final Summary

The AI Roundtable suggests leveraging undocumented internal APIs, specifically the `/api/v2/catalog/items` endpoint, to receive clean JSON data without a paid subscription. Claude Opus 4.7 and Gemini 3.5 Flash recommend existing GitHub projects like `herissondev/vinted-api-wrapper` as the most efficient starting points. However, GPT-5.5 warns that bypassing anti-bot protections risks account bans and suggests sticking to official notifications or email parsing instead.

3 of 4 models agreed