# Catawiki Auction Deal Finder — Bid vs Expert Estimate (`jdepablos/catawiki-deal-finder`) Actor One call = one hunt across live Catawiki auctions. Current bid vs the site expert estimate: discount %, hours left, reserve status — ranked and structured. Built for AI agents, resellers and collectors. - **URL**: https://apify.com/jdepablos/catawiki-deal-finder.md - **Developed by:** [Juan de Pablos](https://apify.com/jdepablos) (community) - **Categories:** E-commerce, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $40.00 / 1,000 auction scans This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Catawiki Auction Deal Finder — Bid vs Expert Estimate **One call = one hunt across live Catawiki auctions.** Catawiki's own experts publish a value estimate for every lot — this actor puts that estimate to work: it scans live auctions for whatever you're hunting, fetches each lot's current bid, and ranks everything by **discount vs the expert's minimum estimate**, with hours-to-close and reserve status attached. Built for AI agents, resellers and collectors. ```json { "query": "game boy", "deals": [ { "title": "Nintendo - Gameboy Classic - Tennis - Game Boy (CIB)", "condition": "Estado: Buen estado", "currentBid": 15, "currency": "EUR", "estimateMin": 330, "estimateMax": 380, "discountVsEstimatePct": 95.5, "endsAt": "2026-07-08T17:11:30.000Z", "hoursLeft": 87.8, "reserveMet": false, "freeShipping": false, "url": "https://www.catawiki.com/es/l/..." } ], "meta": { "lotsFound": 158, "lotsAnalyzed": 12, "lotErrors": 0 } } ```` ### Why the expert estimate matters Every Catawiki lot is reviewed by one of their in-house experts, who publishes a min–max value estimate based on quality, rarity and provenance. That's a **professional appraisal, per lot, for free** — the missing reference price that raw auction scrapers don't give you. A lot bidding at €55 with a €550 minimum estimate three days before close is a signal worth watching; this actor surfaces exactly that, ranked. Two honest caveats, structurally exposed in the output: - `reserveMet: false` means the seller's hidden reserve isn't reached yet — the lot may not sell at the current bid. Filter with `reserveMetOnly: true` if you only want lots that will definitely sell. - Early-auction bids are naturally far below estimates. Use `endingWithinHours` to hunt lots where the discount is *real* because the clock is almost out. ### Input | Field | Default | Notes | |---|---|---| | `query` | — | What to hunt: `"game boy"`, `"omega seamaster"`, `"lego star wars"` | | `items` | — | Batch of up to 10 queries, each may override any option | | `maxLots` | 20 | Lots fetched in detail per query (max 40) | | `minDiscountPct` | 0 | Keep lots at least this % below the min estimate | | `endingWithinHours` | — | Only lots closing within N hours | | `reserveMetOnly` | `false` | Only lots guaranteed to sell | | `strictClean` | `true` | Drop lots whose title doesn't match your query (search is fuzzy) | ### Use with AI agents (MCP) ``` https://mcp.apify.com?tools=jdepablos/catawiki-deal-finder ``` Your agent gets a live "find undervalued auction lots" tool with structured, self-describing output — deals ranked, no pagination, no HTML. Pair it with a sold-price appraiser (e.g. [eBay Sold Price Appraiser](https://apify.com/jdepablos/ebay-sold-price-appraiser)) and the agent can compare an auction's entry price against real market resale value before recommending a bid. ### Pricing Pay per event: one **auction-scan** per query analyzed (up to 40 lots fetched, ranked and returned). Scans that analyze no lots are **never charged**. ### FAQ **Which Catawiki categories does it cover?** All of them — the hunt is a free-text search across live auctions (watches, coins, comics, LEGO, retro games, art, wine…). **Are these sold prices?** No — these are *live* auctions: current bid vs expert estimate. That's the point: you're early, not late. **How fresh is the data?** Real-time at fetch. For monitoring, schedule the actor (e.g. every 6h) with `endingWithinHours: 12` and act on what comes back. **Is this affiliated with Catawiki?** No. Data comes from publicly visible auction pages. # Actor input Schema ## `query` (type: `string`): Item to search across live Catawiki auctions, e.g. "game boy", "omega seamaster", "lego star wars". For batches use `items`. ## `items` (type: `array`): Up to 10 queries per run: `[{"query": "game boy"}, {"query": "rolex", "minDiscountPct": 40}]`. Each item may override any option. ## `maxLots` (type: `integer`): How many search results to fetch in detail (bid + expert estimate). Each lot is one page fetch. ## `minDiscountPct` (type: `integer`): Keep only lots whose entry bid is at least this % below the expert's minimum estimate. 0 returns all analyzed lots ranked. ## `endingWithinHours` (type: `integer`): Optional: keep only lots closing within this many hours (deals get real near the close). ## `reserveMetOnly` (type: `boolean`): Keep only lots whose reserve price is already met (they WILL sell). Off by default — no-reserve bargains are often the best ones. ## `strictClean` (type: `boolean`): Filter out lots whose title doesn't match the query tokens (Catawiki search is fuzzy). ## `minTitleMatch` (type: `string`): Share of query tokens required in the lot title. Decimal as string, e.g. "0.5". ## `proxy` (type: `object`): Residential proxy recommended (default). ## Actor input object example ```json { "query": "game boy", "maxLots": 20, "minDiscountPct": 0, "reserveMetOnly": false, "strictClean": true, "minTitleMatch": "0.5", "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "query": "game boy", "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("jdepablos/catawiki-deal-finder").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "query": "game boy", "proxy": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("jdepablos/catawiki-deal-finder").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "query": "game boy", "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call jdepablos/catawiki-deal-finder --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jdepablos/catawiki-deal-finder", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Catawiki Auction Deal Finder — Bid vs Expert Estimate", "description": "One call = one hunt across live Catawiki auctions. Current bid vs the site expert estimate: discount %, hours left, reserve status — ranked and structured. Built for AI agents, resellers and collectors.", "version": "0.1", "x-build-id": "PtmcEr4N660v8QBJh" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jdepablos~catawiki-deal-finder/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jdepablos-catawiki-deal-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jdepablos~catawiki-deal-finder/runs": { "post": { "operationId": "runs-sync-jdepablos-catawiki-deal-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jdepablos~catawiki-deal-finder/run-sync": { "post": { "operationId": "run-sync-jdepablos-catawiki-deal-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "query": { "title": "What to hunt for", "type": "string", "description": "Item to search across live Catawiki auctions, e.g. \"game boy\", \"omega seamaster\", \"lego star wars\". For batches use `items`." }, "items": { "title": "Batch queries", "type": "array", "description": "Up to 10 queries per run: `[{\"query\": \"game boy\"}, {\"query\": \"rolex\", \"minDiscountPct\": 40}]`. Each item may override any option." }, "maxLots": { "title": "Max lots to analyze", "minimum": 1, "maximum": 40, "type": "integer", "description": "How many search results to fetch in detail (bid + expert estimate). Each lot is one page fetch.", "default": 20 }, "minDiscountPct": { "title": "Min discount vs estimate (%)", "type": "integer", "description": "Keep only lots whose entry bid is at least this % below the expert's minimum estimate. 0 returns all analyzed lots ranked.", "default": 0 }, "endingWithinHours": { "title": "Ending within (hours)", "type": "integer", "description": "Optional: keep only lots closing within this many hours (deals get real near the close)." }, "reserveMetOnly": { "title": "Reserve met only", "type": "boolean", "description": "Keep only lots whose reserve price is already met (they WILL sell). Off by default — no-reserve bargains are often the best ones.", "default": false }, "strictClean": { "title": "Strict relevance", "type": "boolean", "description": "Filter out lots whose title doesn't match the query tokens (Catawiki search is fuzzy).", "default": true }, "minTitleMatch": { "title": "Min title match (0-1)", "type": "string", "description": "Share of query tokens required in the lot title. Decimal as string, e.g. \"0.5\".", "default": "0.5" }, "proxy": { "title": "Proxy", "type": "object", "description": "Residential proxy recommended (default).", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```