🛒 Avito Scraper

Avito Scraper is a free and open-source scraper that gets you unlimited detailed Avito data for free.

✨ What Can I Get?

• 🚗 Full details on 200M+ Avito ads — price, Avito's market estimate, every spec, photos, address & metro
• 🔍 Search all of Russia — keyword, category, city, price & every attribute filter Avito offers
• 🏪 Seller profiles & reviews — rating breakdown, ad counts, badges & every review with replies
• 🗺️ Every category & location — the full 592-node category tree and location IDs for any city

🎥 Example: A Full Avito Ad

{
  "id": 7726049894,
  "title": "BMW X5 3.0 AT, 2025, 16 000 км",
  "link": "https://www.avito.ru/moskva/avtomobili/bmw_x5_3.0_at_2025_16_000_km_7726049894",
  "price": { "amount": 12990000, "currency": "RUB", "text": "12 990 000 ₽", "was_lowered": false },
  "market_price": {
    "estimate": 12513800, "low": 12013300, "high": 13014400, "currency": "RUB", "verdict": "Хорошая цена",
    "pros": ["1 собственник — у других таких же авто их больше", "Пробег меньше, чем у 53% аналогичных машин", "ДТП не обнаружено"]
  },
  "params": [
    { "id": 110002, "name": "Год выпуска", "value": "2025" },
    { "id": 2687, "name": "Пробег", "value": "16 000 км" }
  ],
  "options": [{ "name": "Салон", "values": ["Кожа", "Кожаный руль"] }],
  "location": {
    "name": "Москва", "address": "Москва, Киевская ул., 14",
    "coordinates": { "latitude": 55.742727, "longitude": 37.558643 },
    "metro": [{ "name": "Киевская", "distance_meters": 600, "walking_time": "до 5 мин." }]
  },
  "images_count": 33,
  "seller": {
    "name": "АвтоКапитал", "link": "https://www.avito.ru/brands/i13285073", "type": "Компания",
    "on_avito_since": "2012-10", "rating": { "score": 4.4, "reviews_count": 57 }
  },
  "stats": { "views_today": 42, "views_total": null },
  "badges": ["Машина из Селекта", "Цена как в салоне"]
}

Trimmed for readability.

🚀 Unlimited Free Avito Data — Get It in 60 Seconds

1️⃣ Clone and install:

git clone https://github.com/omkarcloud/avito-scraper
cd avito-scraper
python -m pip install -r requirements.txt

2️⃣ Start the API:

python run.py

3️⃣ Get your first data:

curl "http://localhost:8000/ads/details?ad=7726049894"

{
  "id": 7726049894,
  "title": "BMW X5 3.0 AT, 2025, 16 000 км",
  "link": "https://www.avito.ru/moskva/avtomobili/bmw_x5_3.0_at_2025_16_000_km_7726049894",
  "status": { "is_active": true, "is_closed": false, "is_reserved": false, "message": null },
  "price": { "amount": 12990000, "currency": "RUB", "text": "12 990 000 ₽", "was_lowered": false },
  "market_price": { "estimate": 12513800, "low": 12013300, "high": 13014400, "verdict": "Хорошая цена" },
  "location": {
    "id": 637640, "name": "Москва", "address": "Москва, Киевская ул., 14",
    "coordinates": { "latitude": 55.742727, "longitude": 37.558643 }
  },
  "images_count": 33,
  "seller": { "name": "АвтоКапитал", "type": "Компания", "rating": { "score": 4.4, "reviews_count": 57 } },
  "stats": { "views_today": 42, "views_total": null },
  "vehicle_type": "С пробегом",
  "listed_date": "2026-10-25"
}

All 7 endpoints are now live at http://localhost:8000.

Pulling lots of data? Avito answers busy IPs with a captcha page now and then. The scraper retries it by itself; for steady volume, set AVITO_PROXY=http://user:pass@host:port to a rotating Russian residential proxy before python run.py.

📚 Endpoints

7 endpoints cover everything you need.

Endpoint	Path	Returns
Ad Details	/ads/details	Everything about one ad: price, market estimate, specs, photos, seller
Search Ads	/ads/search	50 ads per page by keyword, category, city, price and filters
Seller Details	/sellers/details	Profile, rating breakdown, ad counts, badges and addresses
Seller Ads	/sellers/ads	Every active ad of one seller, 50 per page
Seller Reviews	/sellers/reviews	Reviews with scores, text, photos and seller replies, 25 per page
Search Locations	/locations/search	Location IDs for any Russian city or region
Category Tree	/categories/list	All categories with IDs, slugs and sub-category filters

🔍 Exploring Parameters

The same API is published on RapidAPI, and its playground is the easiest place to try parameters and see raw responses. Once a request looks right, run it locally for unlimited free data.

1. Subscribe to the free plan — 200 calls/month, no credit card.
2. Try the endpoints in the playground — every param is pre-filled, so you see real data in one click.
3. Copy the generated code and replace https://best-avito-scraper-free-200-calls.p.rapidapi.com with http://localhost:8000. It will now run against your local API.

import requests

# generated by the playground, host swapped for the local API
response = requests.get(
    "http://localhost:8000/ads/details",
    params={"ad": "7726049894"},
)
print(response.json())

💬 Have Questions? We Have Answers.

You're a developer — we know how hard completing a project can be. So we offer full support: just message us and we'll reply ✅ with a solution within 1 working day.

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