Use Vivino Wine Ratings & Tasting Profile Scraper with Python

Search Vivino wines by name, browse by type and country, look up specific vintages by ID, or pull a winery's full catalogue. Get ratings, prices, grapes, tasting notes, and food pairings for each wine.

1. Choose the data you need

Review the published README for supported collection modes, examples, and limits. The recipe below uses the current published input definition.

2. Prepare a source-based input

This JSON contains published prefills and required-field defaults. Review every value for your task before running it; it is not a promise of successful collection.

{
  "country": "",
  "includeReviews": false,
  "maxItems": 2,
  "maxReviewsPerWine": 10,
  "mode": "search",
  "order": "desc",
  "orderBy": "ratings_count",
  "searchQueries": [
    "barolo"
  ],
  "wineIds": [
    "171525306"
  ],
  "wineType": ""
}

Download input.example.json and save your reviewed copy as input.json.

Field	Type	Required	Description
`mode`	string	required	What to fetch. `search` runs one or more free-text queries; `explore` browses with filters; `byWineId` resolves wine/vintage URLs or IDs; `winery` pages through a producer's catalogue.
`searchQueries`	array	optional	One or more free-text wine searches (mode=search). Searches match wine, winery, region and grape names. Example: `barolo`, `chateau petrus`, `napa valley cabernet`.
`wineIds`	array	optional	Vivino wine/vintage IDs or URLs (mode=byWineId). Accepts 171525306, https://www.vivino.com/w/1167880?year=2022, /vintages/171525306 and /wines/171525306.
`winery`	string	optional	Winery to scrape (mode=winery). Accepts 1945, michele-chiarlo, or a Vivino winery URL.
`wineType`	string	optional	Filter by wine type. Applies to search, explore and winery.
`country`	string	optional	Filter wines by country of origin (ISO 2-letter code). Leave empty for all countries.
`region`	string	optional	Optional region filter, e.g. `Barolo`, `napa-valley`, or a Vivino region URL. Combine with Country when a name is ambiguous.
`grape`	string	optional	Optional grape filter, e.g. `Nebbiolo`, `pinot-noir`, or a Vivino grape URL.
`minRating`	number	optional	Only wines whose displayed rating is at or above this value (0-5).
`maxRating`	number	optional	Only wines whose displayed rating is at or below this value (0-5). Applied after fetching.
`minPrice`	number	optional	Only wines with a current offer at or above this price.
`maxPrice`	number	optional	Only wines with a current offer at or below this price. Leave empty for no cap.
`orderBy`	string	optional	How Vivino orders search and explore results.
`order`	string	optional	Descending (highest first) or ascending (lowest first).
`includeReviews`	boolean	optional	Attach the latest wine-level Vivino reviews to each record. Reviews span all vintages; each review keeps its own year.
`maxReviewsPerWine`	integer	optional	How many latest reviews to attach when Include reviews is on (1-50).
`maxItems`	integer	optional	Maximum wine records to emit. Vivino exposes at most 2,500 rows per search/explore query; split broad queries into narrower filters for more.

3. Start an Actor run

Set APIFY_TOKEN in your environment. Python 3.10 or newer is sufficient; this recipe uses no third-party packages.

Execution may incur charges. Review current pricing on Apify. The request asks for a 120-second timeout and a charge limit; these settings are subject to Apify’s pricing and do not guarantee an all-inclusive spending cap.

import json
import os
import urllib.request

# Save the schema-derived example as input.json; review and edit it first.
with open("input.json", encoding="utf-8") as stream:
    actor_input = json.load(stream)

token = os.environ["APIFY_TOKEN"]
request = urllib.request.Request(
    "https://api.apify.com/v2/acts/g1kkodoLYUEZBw5Kk/runs?timeout=120&maxTotalChargeUsd=0.50",
    data=json.dumps(actor_input).encode("utf-8"),
    headers={"Authorization": "Bearer " + token, "Content-Type": "application/json"},
    method="POST",
)
# This starts a potentially billable run. Do not automatically retry this POST.
with urllib.request.urlopen(request, timeout=40) as response:
    run = json.load(response)["data"]
print("Run ID:", run["id"])
print("Status:", run["status"])
# Inspect and download results in Apify Console once the run succeeds.

4. Inspect the actual results

Open the run in Apify Console and wait for a successful completion. Use the published output schema to locate results and the dataset schema to understand declared views. Missing or optional record fields must not be treated as guaranteed values.

Vivino wine records with ratings, taste profiles, alcohol, descriptions, critic scores, awards, rankings, prices, merchant offers and optional reviews.

Questions before you run

Which inputs are required?

The published required fields are mode

What does this guide verify?

The fields, prefills, and schema links are rendered from the published build. This is a usage recipe, not a paid live extraction test. Source availability and collection results can vary.

What if the run request times out?

Check Apify Console before retrying. The first request may already have created a run. Do not automatically repeat a run-creation POST.

Open on Apify Full Actor reference

Generated from source build EKzBGehbk29hlDAtj and its README and schemas. Source changes regenerate this guide; no third-party editorial claims are inferred.