Manifold Markets Scraper

🚀 Export Manifold prediction markets in seconds. Creator, probability, volume, and close time direct from api.manifold.markets.

🕒 Last updated: 2026-06-05 . 📊 12 fields per record . Public API . Real-time

The Manifold Markets Scraper turns the Manifold Markets API public REST endpoint into a clean, structured dataset.

🎯 Target Audience	💡 Primary Use Cases
📊 Prediction market analysts	Mirror Manifold markets
📰 Journalists	Track creator activity
🪙 Bettors	Build prediction dashboards
🤖 ML engineers	Backtest probability signals

📋 What the Manifold Markets Scraper does

• Calls https://api.manifold.markets/v0/markets with pagination.
• Flattens each market into a row.
• Supports creatorUsername and before cursor.
• Surfaces upstream errors as clean rows.

💡 Why it matters. The source returns raw API payloads that most data tools cannot ingest directly. This actor normalizes everything into a flat row format ready for analysis.

🎬 Full Demo

🚧 Coming soon.

⚙️ Input

Field	Type	Required	Description
maxItems	integer	No	Free users limited to 10. Paid users up to 1,000,000. Prefill 10.

Example 1.

{
  "maxItems": 50
}

Example 2.

{
  "creatorUsername": "SG",
  "maxItems": 30
}

⚠️ Good to Know. This actor uses a public endpoint. No login or API key is required.

📊 Output

Field	Type	Description
🆔 id	string	Market id.
❓ question	string	Market question.
👤 creatorUsername	string	Creator username.
🎯 probability	number	Current probability.
💰 volume	number	Total volume.
💧 totalLiquidity	number	Total liquidity.
📅 closeTime	number	Close time as ms since epoch.
🎲 outcomeType	string	BINARY, MULTIPLE_CHOICE, etc.
🔒 isResolved	boolean	True if resolved.
🔗 url	string	Market URL.
🕒 scrapedAt	string	Fetch time.
❌ error	string	Set if upstream error.

Sample record.

{
  "id": "tqIZntU5IL",
  "question": "Will neymar score at world cup?",
  "creatorUsername": "ConradoMika",
  "probability": 0.6,
  "volume": 0,
  "totalLiquidity": 100,
  "closeTime": 1784505540000,
  "outcomeType": "BINARY",
  "isResolved": false,
  "url": "https://manifold.markets/ConradoMika/will-neymar-score-at-world-cup",
  "scrapedAt": "2026-06-05T12:00:00.000Z",
  "error": null
}

✨ Why choose this Actor

| 🆓 | Public source, no API key required. | | 🧹 | Clean snake_case fields ready for BI tools. | | 🔢 | Numeric values auto-cast for spreadsheets. | | 🛟 | Errors surfaced as a clean record instead of crashing. | | 💾 | Push to dataset for instant export in multiple formats. |

📈 How it compares to alternatives

Approach	Setup time	Clean fields?	Numeric casting?
Roll your own fetch	30 min+	❌	❌
Custom Python script	1 hr+	partial	partial
This Actor	5 sec, no install	✅	✅

🚀 How to use

1. Click Try for free.
2. Adjust maxItems if needed (defaults to 10).
3. Click Start. Within seconds, your dataset is ready for download or integration.

💼 Business use cases

📊 Analytics dashboards. Pipe results into BI tools.

💼 Backtesting. Snapshot data daily for reproducible analysis.

📰 Reporting. Embed live numbers in newsletters or briefings.

🤖 ML feature engineering. Build training sets from public data.

🔌 Automating Manifold Markets Scraper

• Make / Zapier. Trigger this actor on a schedule, push results to Airtable, Google Sheets, or Slack.
• Cron schedule. Native Apify scheduler.
• Webhooks. POST to your endpoint when a run finishes.
• Pipe to BigQuery, Snowflake, Postgres. Native Apify integrations.

🌟 Beyond business use cases

🎓 Education. Use real data in finance and economics classes.

🧪 Personal research. Track your own metrics without coding.

🤝 Non-profit and open data. Build public dashboards with current numbers.

🧰 Tinkering and prototyping. Spin up a feed in seconds for new ideas.

🤖 Ask an AI assistant about this scraper

Pop 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 API key? No. Manifold v0 is public.

❓ Can I filter by creator? No on the list endpoint. Filter client side or use the creatorUsername input.

❓ How is pagination handled? Cursor-based via the before id.

❓ What if upstream errors? A single record with error is pushed.

❓ Will the schema change? id, question, creatorUsername, probability are stable.

❓ Can I schedule runs? Yes via Apify scheduler, Make, Zapier, or cron.

❓ Is rate limiting strict? Manifold is generous.

❓ Which export formats? Apify dataset UI exposes multiple structured formats.

❓ How fresh is data? Real-time.

❓ Is this scraping or API? API.

🔌 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.

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