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Price-Rating Correlation Study

Analyze price-rating correlations across Vivino wines. Identify sweet spots where quality exceeds price expectations.

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Vivino Wine Scraper [$1.7/1K💰] | Ratings | Prices | Pairings
Vivino Wine Scraper [$1.7/1K💰] | Ratings | Prices | Pairingsahmed_jasarevic/vivino-reviews-taste-profile-scraper
Wine ID
Year
Review ID
Rating
+5 fields
Text
Number
Boolean
List
Object

Input

Wine URLs(required):https://www.vivino.com/w/1911534?year=2018+3
Total reviews per wine:500
Include Taste Profile:true

Output fields

Wine ID
Year
Review ID
Rating
Note
Date
User
User Ratings Count
Wine URL

How it works

Sign up on Apify or log in

The Vivino Wine Scraper [$1.7/1K💰] | Ratings | Prices | Pairings Actor is ready to run with the inputs already set for "Price-Rating Correlation Study". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Price-Rating Correlation Study" task

The Vivino Wine Scraper [$1.7/1K💰] | Ratings | Prices | Pairings Actor will start running based on the input automatically. You can also change all the input fields, like wine urls, total reviews per wine, and more, to match your specific use case.

Receive the "Price-Rating Correlation Study" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as wine id, year, review id, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Price-Rating Correlation Study" task via API.

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Integrate "Price-Rating Correlation Study" into your workflow

Connect "Price-Rating Correlation Study" with 100+ integrations, or run it via API or MCP.

Webhook

Webhook

n8n

n8n

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Make

Zapier

Zapier

Airbyte

Airbyte

Keboola

Keboola

IFTTT

IFTTT

Hubspot

Hubspot

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GDrive

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Gmail

Apify MCP

Apify MCP

GitHub

GitHub

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Slack

LangChain

LangChain

LlamaIndex

LlamaIndex

Flowise

Flowise

Pinecone

Pinecone

OpenAI

OpenAI

Mastra

Mastra

Clay

Clay

Frequently asked questions

Price-Rating Correlation Study returns one review row in the default dataset, plus an optional taste profile row per wine with wine ID, vintage, rating, review text, reviewer, date, and URL.

Price-Rating Correlation Study uses wineUrls (4 wine URL(s)), totalReviewsToGet (500 per wine), includeTasteProfile true. Edit these values in the Input tab before each run; saved settings apply to scheduled runs too.

Price-Rating Correlation Study is capped by totalReviewsToGet (500) per wine. The free plan allows 50 reviews per wine. Split the search or schedule multiple runs to collect more.

Price-Rating Correlation Study uses Apify pay-per-result pricing: $0.0017 per review plus a $0.00005 start fee, about $1.70 per 1,000 reviews; optional taste profiles may add a small charge.

Yes. Schedule Price-Rating Correlation Study in Apify Console, set a daily or weekly interval, and connect webhooks, Google Sheets, or API integrations to each run.

No. Price-Rating Correlation Study is an independent Apify Actor and is not affiliated with Vivino. It collects publicly available data; respect the site's terms and robots.txt.

Price-Rating Correlation Study covers 4 wine URL(s): wine 1911534 (2018), wine 2400059, wine 1208646 (2019) and 1 more, with up to 500 reviews per wine; includeTasteProfile true.

Price-Rating Correlation Study returns ratings and wine IDs, not retail prices. Join the output with a price source to study price-rating correlation.