🏛️ Catawiki Auctions Lot Scraper

🚀 Export Catawiki auction lots and current bids in seconds. Direct from https://www.catawiki.com to a structured dataset ready for any spreadsheet, database, or BI tool.

🕒 Last updated 2026-06-05 · 📊 7 fields per record · Public REST API source · Real time results

The Catawiki Auctions Lot Scraper turns the https://www.catawiki.com public storefront into a clean structured dataset. Enter a search query, choose how many items you want, and get back a flat table with title, currentBid, image, lot, category, endTime, url.

Built for analysts, marketplace operators, and product researchers who need Catawiki auction lots and current bids without writing a single line of client code.

🎯 Target Audience	💡 Primary Use Cases
📊 Market analysts	Track pricing and stock across the catalog
🛒 Marketplace operators	Benchmark competitor listings
💼 Procurement teams	Sourcing and supplier discovery
🤖 ML engineers	Build product datasets for training
📰 Journalists	Snapshot listings for stories
👩‍💻 Developers	Mirror public catalog data into your own database

📋 What the Catawiki Auctions Scraper does

• Hits the public https://www.catawiki.com search endpoint with the query you supply.
• Parses the REST API response and flattens each result into one row.
• Normalizes field names so they import cleanly into any spreadsheet or warehouse.
• Skips duplicates and short circuits when the upstream returns no further results.
• Surfaces upstream errors as a single diagnostic record instead of crashing.
• Exports to dataset in every format Apify supports.

💡 Why it matters Direct access to https://www.catawiki.com catalog data without writing scraping infrastructure, rotating proxies, or maintaining selectors. One run, one clean table.

🎬 Full Demo

🚧 Coming soon.

⚙️ Input

Field	Type	Required	Description
query	string	No	Search term entered into the Catawiki auctions search. Trimmed before use.
maxItems	integer	No	Free users 10. Paid users up to 1,000,000. Prefill 10.

Example 1 standard search

{
  "query": "rolex",
  "maxItems": 25
}

Example 2 small preview

{
  "query": "rolex",
  "maxItems": 5
}

⚠️ Good to Know This actor only reads publicly available pages from https://www.catawiki.com. No login or API key is required.

📊 Output

Each record is a flat object. imageUrl is always first, error is always last.

Field	Type	Description
🖼️ imageUrl	string	Main product image URL.
🔹 title	string	title from the source listing.
🔹 currentBid	string	currentBid from the source listing.
🔹 image	string	image from the source listing.
🔹 lot	string	lot from the source listing.
🔹 category	string	category from the source listing.
🔹 endTime	string	endTime from the source listing.
🔹 url	string	url from the source listing.
🕒 scrapedAt	string	When this row was fetched.
❌ error	string	Set only if the upstream response failed.

Sample record

{
  "imageUrl": "https://...",
  "title": "Rolex Submariner 1998",
  "currentBid": 8400,
  "category": "Watches",
  "lot": "L84829213",
  "url": "https://www.catawiki.com",
  "scrapedAt": "2026-06-05T13:00:00.000Z",
  "error": null
}

✨ Why choose this Actor

| 🆓 | Works without a login, account, or API key. | | 🧹 | Cleans up upstream field names into snake friendly columns. | | 🔢 | Auto casts numeric strings to real numbers for spreadsheet imports. | | 🛟 | Surfaces upstream errors as a single diagnostic record rather than crashing. | | 🔌 | One field input. Run, download, done. | | 💾 | Push to dataset and pull any tabular format you need. |

📈 How it compares to alternatives

Approach	Setup time	Clean keys?	Numeric casting?	Maintenance?
Roll your own scraper	hours	❌	❌	ongoing
Generic web scraper	minutes plus tuning	partial	❌	ongoing
This Actor	5 seconds	✅	✅	✅

🚀 How to use

1. Click Try for free.
2. Enter a search term in query.
3. Set maxItems to the number of records you want.
4. Click Start. Within seconds your dataset is ready to download.

💼 Business use cases

📊 Pricing intelligence. Track how prices move across the Catawiki Auctions catalog by scheduling a daily run on your top SKUs.

💼 Competitive benchmarking. Compare your own catalog against Catawiki Auctions to spot gaps and overlaps.

📰 Market reporting. Snapshot listings on a fixed cadence to support newsroom or research stories.

🤖 ML feature engineering. Build clean catalog datasets for recommendation, search, or pricing models.

🔌 Automating Catawiki Auctions Scraper

• Make and Zapier trigger this actor on schedule, push results to Airtable, Slack, or your CRM.
• Cron schedule native Apify scheduler runs your job daily, weekly, or hourly.
• Webhooks get a POST the moment a run finishes.
• Warehouse pipes stream straight into BigQuery, Snowflake, or Postgres.

🌟 Beyond business use cases

🎓 Education. Teach data engineering or e commerce analytics with real catalog data.

🧪 Personal research. Track price history of items you care about without manual checking.

🤝 Non profit and open data. Build transparent dashboards of public catalog pricing.

🧰 Tinkering and prototyping. Spin up a product feed in seconds to test a new shop UI or data app.

🤖 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. The schema, examples, and field list above contain everything an LLM needs to design a working pipeline.

❓ Frequently Asked Questions

❓ Do I need an account or API key? No. https://www.catawiki.com pages are public and this actor reads only those.

❓ How many results can I get? Free users 10. Paid users up to 1,000,000 per run.

❓ Are values cast to numbers? Yes. Numeric fields are typed correctly so spreadsheets and pandas treat them as numbers.

❓ How do you handle blocks or errors? Upstream errors are pushed as a single diagnostic record instead of crashing the run.

❓ Can I schedule runs? Yes, use Apify scheduler or hook this actor into Make, Zapier, or cron.

❓ Is this scraping or an API? It is a public source read. We normalize whatever https://www.catawiki.com returns publicly.

❓ Will the schema change? Core fields are stable. Source specific extras are passed through when present.

❓ Can I filter by category or brand? Use the search query field to scope your run. Additional filters can be added on request.

❓ What formats can I download? Every tabular format Apify supports straight from the dataset UI.

❓ Is the data refreshed live? Yes. Every run hits https://www.catawiki.com fresh.

🔌 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 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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