Wadiz Crowdfunding Scraper 🚀

Scrape the reward crowdfunding feed from Wadiz (와디즈) — Korea's largest reward & pre-order crowdfunding platform. Get clean, structured campaign data (title, maker/brand, category, amount raised in KRW, funding rate, backer count, status, image, campaign URL) in JSON, CSV, or Excel.

Wadiz is where Korean products launch before they hit retail — so its funding feed is an early trend signal for what will scale on Musinsa, 29CM, or OLIVE YOUNG next.

Try it free. Apify's free plan includes $5 of monthly platform credit — roughly 2,000 results from this actor, no credit card required. Set your input, click Start, and export JSON/CSV/Excel.

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🚀 What it does

Give it a mode and it returns a structured campaign feed:

Mode	What you get	Example input
feed	Ongoing reward / pre-order campaigns — with amount_raised_krw, funding_rate and supporter_count	{ "mode": "feed" }
ended	Closed campaigns — their final funding results	{ "mode": "ended" }

Choose a sort order (recommend, popular, recent, endsoon) and how many campaigns to pull (maxItems).

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📥 Input

Field	Type	Default	Description
mode	string	feed	feed (ongoing) or ended (closed campaigns).
order	string	recommend	recommend, popular, recent, endsoon.
maxItems	integer	100	Max campaigns to return (paginated at 40 per request).
proxyConfiguration	object	off	Optional Apify proxy. Not required — enable for IP diversity at scale.

Input example — most popular ongoing campaigns:

{
  "mode": "feed",
  "order": "popular",
  "maxItems": 100
}

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📤 Output

Each campaign is one dataset record in this shape (real sample from a live run):

{
  "source": "wadiz",
  "project_id": "402987",
  "title": "[토이스토리5] <버즈 라이트이어> 하이테크에디션 단독 선오픈",
  "maker": "대원미디어(주)",
  "category": "TV·영화",
  "amount_raised_krw": 107256000,
  "funding_rate": 1072,
  "supporter_count": 1486,
  "status": "funding",
  "rank": 1,
  "url": "https://www.wadiz.kr/web/campaign/detail/402987",
  "image_url": "https://cdn3.wadiz.kr/studio/images/2026/06/30/ed58de67-354f-41a9-933e-444544f9a99c.jpeg",
  "scraped_at": "2026-07-09T14:48:55.801+09:00"
}

Field notes

• amount_raised_krw — total pledged, an integer number of KRW.
• funding_rate — achievement rate as an integer percent (e.g. 1072 = 1,072%).
• supporter_count — number of backers on the campaign.
• maker — the public commercial maker / brand / company name shown on the campaign (like a shop name). No personal contact details, profiles, or IDs are collected.
• category — the campaign's Wadiz category label (e.g. TV·영화, 캠핑, 주방).
• status — funding (ongoing) or ended (closed).
• rank — 1-based position within the returned feed ordering.
• A 25-record real sample lives in samples/sample-output.json.

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💡 Use cases

• Crowdfunding market research — see what's funding right now in Korea, ranked by amount raised, funding rate and backers.
• Pre-retail trend spotting — catch breakout products (1,000%+ funded) before they reach mainstream e-commerce. Pairs with the Musinsa / 29CM / OLIVE YOUNG scrapers as an e-commerce trend bundle.
• Sourcing / dropshipping — find high-traction products with images and URLs.
• AI agents & LLM pipelines — feed a clean JSON campaign catalog into RAG or a trend-analysis assistant.
• Competitive intelligence — track a maker's funding trajectory vs rivals, including final results via ended mode.

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🌐 Data source

This actor reads Wadiz's public funding feed from service.wadiz.kr — the same JSON gateway Wadiz's own website calls to render its reward feed. No login, no private API. The feed is returned as clean JSON, so no proxy is required; you can enable an Apify proxy for IP diversity when running at scale.

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⚠️ Known limitations (honest notes)

• Sponsored cards are removed. The feed injects advertisement cards (and repeats them across pages); the actor filters them out and de-duplicates by campaign id, so you get only real, unique campaigns.
• No server-side category filter. Each record carries its own category label, but the feed does not expose a reliable category-scoped query, so filter client-side on the category field rather than via input.

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⚖️ Rate & legality note

• Only public, non-personal campaign data is collected — listings anyone can see without logging in. No personal data (no supporter/backer names, nicknames, profiles, or contact details; the campaign's userId/nickname are deliberately dropped). maker is a public commercial brand/company name, like a shop name.
• Requests are rate-limited (sequential pages, ≥500 ms delay) to stay light on the site.
• You are responsible for complying with Wadiz's Terms of Service and applicable law in your jurisdiction. Use the data for research, monitoring, and analytics — not to replicate the platform.

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❓ FAQ

Is it legal to scrape this data? This actor collects only public, non-personal campaign data — the same listings any visitor sees on Wadiz without logging in. No personal data is collected (supporter names, nicknames, and profiles are deliberately dropped). You are responsible for how you use the data; see the rate & legality note above.

What does it cost in practice? $2.50 per 1,000 results (launch pricing) + a few cents of platform usage. Example: a 500-result daily pull costs about $1.25/day. Apify's free $5 monthly credit covers ~2,000 results.

Do I need to configure proxies? No — the default settings work out of the box. Optionally, enable an Apify proxy for IP diversity when running at scale.

How fresh is the data? Every run scrapes the live Wadiz feed at run time. Schedule the actor for recurring snapshots.

What is NOT included? Sponsored/advertisement cards (filtered out and de-duplicated), server-side category filtering (filter client-side on the category field), and any personal data about supporters or makers beyond the public brand/company name.

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🤖 Use with AI agents (MCP)

Call this Actor as a tool from Claude or any MCP-compatible AI agent — no glue code. Point your MCP client at Apify's server, scoped to this Actor:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=kdatafactory/wadiz-scraper",
      "headers": { "Authorization": "Bearer <YOUR_APIFY_TOKEN>" }
    }
  }
}

Your agent can then pull Wadiz crowdfunding campaigns & backer counts on demand — no scraping code in your app. Grab a free token from Apify → Integrations.

🇰🇷 More Korean data actors

This actor is part of a suite of Korean-platform scrapers by the same maintainer:

• tumblbug-scraper — Korea's creative crowdfunding platform, project & funding data.
• musinsa-scraper — Korea's #1 fashion e-commerce, product & ranking data.
• 29cm-scraper — curated Korean lifestyle e-commerce, product catalog data.

Browse all: apify.com/kdatafactory

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🏃 Run it

On Apify: set your input and click Start. Locally:

npm install
# put your input in storage/key_value_stores/default/INPUT.json
npm start

Results land in the default dataset (Apify) or ./storage/datasets/default (local).

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If this actor saves you time, a rating on the Store page helps a solo maintainer a lot. Found an issue? Open it in the Issues tab — I respond fast.