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list_classified_ads

avito.ru

Browse classified ad listings on https://avito.ru by category and city, with optional price and client-side title filters. Returns complete listing records plus aggregate price statistics.

Parameters6
Runs11
Updated10d ago
Degraded11 runs · 81.8% succeeded
30 days agotoday

Playground

Runs on Notte and spends your workspace credits — what comes back is the live response, not a sample.

What is list_classified_ads?

Browse classified ad listings on https://avito.ru by category and city, with optional price and client-side title filters. Returns complete listing records plus aggregate price statistics. It runs on Notte's browser infrastructure and returns structured JSON, so you can call it like any other API — pass category, city, minimum_price, maximum_price, text_filter, limit and get the result back without maintaining a scraper.

Response

{
  "city": "<string>",
  "count": 0,
  "items": [
    {}
  ],
  "city_id": 0,
  "category": "<string>",
  "category_id": 0,
  "text_filter": "<string>",
  "price_statistics": {
    "currency": "<string>",
    "median_price": 0,
    "average_price": 0,
    "maximum_price": 0,
    "minimum_price": 0,
    "priced_item_count": 0
  },
  "maximum_price_filter": 0,
  "minimum_price_filter": 0
}

Call it

curl --location 'https://us-prod.notte.cc/functions/a0bae3d1-6584-4889-a50d-c31cde5d60cd/runs/start' \
--header 'x-notte-api-key: YOUR_API_KEY' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer YOUR_API_KEY' \
--data '{
    "function_id": "a0bae3d1-6584-4889-a50d-c31cde5d60cd",
    "variables": {
        "category": "electronics",
        "city": "moskva",
        "minimum_price": 0,
        "maximum_price": 0,
        "text_filter": "",
        "limit": 20
    }
}'

Ask an agent

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Call run(function_id="a0bae3d1-6584-4889-a50d-c31cde5d60cd") — the "list_classified_ads" function, which browse classified ad listings on https://avito.ru by category and city, with optional price and client-side title filters. Returns complete listing records plus aggregate price statistics..

It takes category (str), city (str), minimum_price (int), maximum_price (int), text_filter (str), limit (int). Return the result as structured JSON.