🍷 Vivino Marketplace Scraper

🚀 Export Vivino wine data in seconds. Titles, prices, images, wineries, vintages, ratings, and regions from the public catalog.

🕒 Last updated: 2026-06-05 · 📊 10 fields per record · Global Vivino marketplace, wine catalog

The Vivino Marketplace Scraper turns a public REST endpoint into a clean, structured dataset. It fetches the source, parses the response, and flattens each record into one row, ready to push downstream.

Coverage matches what the public source exposes. No login required, no fragile DOM parsing.

🎯 Target Audience	💡 Primary Use Cases
📊 Analysts	Track listings and pricing
🏷️ Brand managers	Monitor visibility
💼 Buyers	Benchmark assortment
🤖 Pricing intelligence	Feed automation
📰 Researchers	Pull live data
👩‍💻 Developers	Mirror catalog into your DB

📋 What the Vivino Marketplace Scraper does

• Calls the Vivino public explore endpoint.
• Captures vintage, region, and average rating per wine.
• Pushes one record per item to the Apify dataset.

💡 Why it matters: This actor delivers structured data the source does not publish in bulk.

🎬 Full Demo

🚧 Coming soon.

⚙️ Input

See the input schema for every field. Required fields have prefills, optional fields are sectioned.

Example:

{
  "maxItems": 50
}

⚠️ Good to Know: Results reflect the live source at the time of the run.

📊 Output

Each record is flat. imageUrl first, error last.

Sample record:

{"imageUrl":"https://...","title":"Chateau Margaux 2015","price":650,"winery":"Chateau Margaux","vintage":2015,"rating":4.8,"region":"Bordeaux","url":"https://www.vivino.com/wines/123","scrapedAt":"2026-06-05T13:00:00.000Z","error":null}

✨ Why choose this Actor

| 🧹 | Clean field names ready for BI tools. | | 🔢 | Auto cast numeric strings to numbers. | | 🛟 | Surfaces upstream errors as a clean error record. | | 🔌 | Pure REST, no browser, fast runs. | | 💾 | Push to dataset, instant export. |

📈 How it compares to alternatives

Approach	Setup time	Clean fields	Maintenance
Roll your own fetch	1 hr +	manual	you own it
Headless browser	30 min +	manual	brittle
This Actor	5 sec, no install	built in	we own it

🚀 How to use

1. Click Try for free.
2. Adjust inputs.
3. Click Start, dataset ready in seconds.

💼 Business use cases

📊 Price intelligence. Daily catalog snapshots feed a tracker.

🏷️ Brand share of search. Count how often your brand appears.

🛒 Assortment planning. Discover what the source promotes.

📦 Promo tracking. Compare list and discounted prices over time.

🔌 Automating Vivino Marketplace Scraper

• Make / Zapier, schedule the actor and route results.
• Cron schedule, native Apify scheduler.
• Webhooks, get notified on run completion.
• Pipe to BigQuery, Snowflake, Postgres, native Apify integrations.

🌟 Beyond business use cases

🎓 Education. Teach data analytics with live data.

🧪 Personal research. Track items you care about.

🤝 Non-profit and open data. Build public dashboards.

🧰 Tinkering and prototyping. Spin up an idea fast.

🤖 Ask an AI assistant about this scraper

Paste this README into ChatGPT, Claude, or any AI assistant and ask it to map your workflow to the actor inputs.

❓ Frequently Asked Questions

❓ Do I need an account on the source? No.

❓ How fresh is the data? Real time.

❓ Can I schedule runs? Yes, native Apify scheduler.

❓ Is this scraping or API? Public REST endpoint, normalized.

❓ Are prices in local currency? Yes, follows the storefront.

❓ What format can I download? Every Apify dataset export format.

❓ Will the schema change? Core fields are stable.

❓ Is there a rate limit? The source may rate limit, errors are returned as a clean record.

❓ Can I run this on a list of inputs? Yes, chain multiple runs or use Apify scheduler.

❓ What about pagination? Handled internally up to your maxItems limit.

🔌 Integrate with any app

Apify ships native integrations with Make, Zapier, Slack, Discord, Google Drive, Google Sheets, Gmail, Airbyte, Keboola, Telegram, GitHub, and any REST API or webhook endpoint. Trigger runs from a calendar event, a form submission, a cron job, or pipe results straight into BigQuery, Snowflake, or a Postgres warehouse.

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💡 Pro Tip: browse the complete ParseForge collection for 900+ production-grade scrapers across business intelligence, real estate, e-commerce, sports, finance, and public records.

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