Kalshi Profile Scraper

📊 Kalshi Profile Scraper

Extraction tool designed to unlock the social and financial layers of the Kalshi prediction market.

By targeting individual trader profiles, this scraper provides a deep look into the "social betting" ecosystem, allowing you to track the exact movements, sentiments, and track records of the exchange's most successful participants.

✨ Features

Financial Deep-Dive: Capture a user's total volume, pnl (Profit and Loss), open_interest, and the total num_markets_traded.

Social Activity Tracking: Extract full histories of trader Posts, Comments, and Likes to understand the "why" behind their positions.

Portfolio Analysis: Scrape both open_positions (current bets) and closed_positions (historical results) including ticker-level detail.

Performance Badges: Identify elite status with badge data, including specific rankings like Top 50 Predictions or #6 in Financials.

Category Affinity: Pull the top_categories data to see if a trader specializes in Sports, Crypto, Economics, or Science and Technology.

Trade-Level Resolution: Access individual trades data, revealing the specific price, side (Yes/No), and timestamp of execution.

🚀 Use Cases

Leaderboard Forensics: Go beyond simple ranks to analyze the specific trade patterns of top-tier performers identified by the Kalshi Leaderboard Scraper.

Sentiment & Signal Correlation: Match trader commentary and "Ideas" (posts) with their actual financial positions to separate noise from high-conviction signals.

Whale Watching: Monitor users with high open_interest to see where institutional-grade capital is moving in real-time.

Educational Benchmarking: Study the historical closed_positions of successful traders to learn optimal entry and exit strategies for binary options.

Risk Management: Analyze the diversification of elite traders across top_categories to understand how they hedge across different market sectors.

INPUT

Feature Select:

profile, open_positions, closed_positions, trades, top_categories, posts, comments, likes

OUTPUT

Profile

{
  "social_id": "6d479151-102d-4b4b-b881-f86c7c2fc94c",
  "nickname": "weatherman.allday",
  "follower_count": 125,
  "following_count": 0,
  "posts_count": 1,
  "profile_image_path": "weatherman.allday-2026-01-17 20:45:23",
  "description": "",
  "pending_profile_image_path": "",
  "blocked": false,
  "joined_at": "2026-01-06",
  "profile_view_count": 231568,
  "top_categories": [
    "Sports",
    "Crypto"
  ],
  "inner_circle": {
    "enabled": true,
    "viewer_status": "none"
  },
  "open_interest": 49770,
  "open_interest_fp": "49770.00",
  "volume": 3086866,
  "volume_fp": "3086866.00",
  "pnl": 181431186,
  "num_markets_traded": 111275,
  "badges": [
    {
      "badge_id": "rank_top_0050__metric_num_markets_traded__category_all__period_all_time",
      "badge_type": "RANK",
      "threshold": 50,
      "metric_name": "num_markets_traded",
      "category": "all",
      "time_period": "all_time",
      "user_rank": 26,
      "percentile": 0,
      "display_name": "#26 Predictions",
      "description": "Ranked 26th on the Predictions leaderboard for All",
      "badge_path": "https://kalshi-social-public.s3.amazonaws.com/badges/compact/rank_top_0050__num_markets_traded__all__all_time.webp",
      "badge_expanded_path": "https://kalshi-social-public.s3.amazonaws.com/badges/expanded/rank_top_0050__num_markets_traded__all__all_time.webp",
      "color_hex": "#1E3A8A"
    },
    {
      "badge_id": "rank_0006__metric_num_markets_traded__category_financials__period_all_time",
      "badge_type": "RANK",
      "threshold": 6,
      "metric_name": "num_markets_traded",
      "category": "financials",
      "time_period": "all_time",
      "user_rank": 6,
      "percentile": 0,
      "display_name": "#6 Predictions",
      "description": "Ranked 6th on the Predictions leaderboard for Financials",
      "badge_path": "https://kalshi-social-public.s3.amazonaws.com/badges/compact/rank_0006__num_markets_traded__financials__all_time.webp",
      "badge_expanded_path": "https://kalshi-social-public.s3.amazonaws.com/badges/expanded/rank_0006__num_markets_traded__financials__all_time.webp",
      "color_hex": "#5B21B6"
    },
    {
      "badge_id": "rank_top_0025__metric_num_markets_traded__category_science_and_technology__period_all_time",
      "badge_type": "RANK",
      "threshold": 25,
      "metric_name": "num_markets_traded",
      "category": "science and technology",
      "time_period": "all_time",
      "user_rank": 23,
      "percentile": 0,
      "display_name": "#23 Predictions",
      "description": "Ranked 23rd on the Predictions leaderboard for Science And Technology",
      "badge_path": "https://kalshi-social-public.s3.amazonaws.com/badges/compact/rank_top_0025__num_markets_traded__science_and_technology__all_time.webp",
      "badge_expanded_path": "https://kalshi-social-public.s3.amazonaws.com/badges/expanded/rank_top_0025__num_markets_traded__science_and_technology__all_time.webp",
      "color_hex": "#0F4C5C"
    },
    {
      "badge_id": "rank_top_0050__metric_num_markets_traded__category_sports__period_all_time",
      "badge_type": "RANK",
      "threshold": 50,
      "metric_name": "num_markets_traded",
      "category": "sports",
      "time_period": "all_time",
      "user_rank": 31,
      "percentile": 0,
      "display_name": "#31 Predictions",
      "description": "Ranked 31st on the Predictions leaderboard for Sports",
      "badge_path": "https://kalshi-social-public.s3.amazonaws.com/badges/compact/rank_top_0050__num_markets_traded__sports__all_time.webp",
      "badge_expanded_path": "https://kalshi-social-public.s3.amazonaws.com/badges/expanded/rank_top_0050__num_markets_traded__sports__all_time.webp",
      "color_hex": "#1E3A8A"
    },
    {
      "badge_id": "rank_top_0050__metric_num_markets_traded__category_economics__period_all_time",
      "badge_type": "RANK",
      "threshold": 50,
      "metric_name": "num_markets_traded",
      "category": "economics",
      "time_period": "all_time",
      "user_rank": 32,
      "percentile": 0,
      "display_name": "#32 Predictions",
      "description": "Ranked 32nd on the Predictions leaderboard for Economics",
      "badge_path": "https://kalshi-social-public.s3.amazonaws.com/badges/compact/rank_top_0050__num_markets_traded__economics__all_time.webp",
      "badge_expanded_path": "https://kalshi-social-public.s3.amazonaws.com/badges/expanded/rank_top_0050__num_markets_traded__economics__all_time.webp",
      "color_hex": "#1E3A8A"
    },
    {
      "badge_id": "rank_top_0050__metric_num_markets_traded__category_climate_and_weather__period_all_time",
      "badge_type": "RANK",
      "threshold": 50,
      "metric_name": "num_markets_traded",
      "category": "climate and weather",
      "time_period": "all_time",
      "user_rank": 43,
      "percentile": 0,
      "display_name": "#43 Predictions",
      "description": "Ranked 43rd on the Predictions leaderboard for Climate And Weather",
      "badge_path": "https://kalshi-social-public.s3.amazonaws.com/badges/compact/rank_top_0050__num_markets_traded__climate_and_weather__all_time.webp",
      "badge_expanded_path": "https://kalshi-social-public.s3.amazonaws.com/badges/expanded/rank_top_0050__num_markets_traded__climate_and_weather__all_time.webp",
      "color_hex": "#1E3A8A"
    }
  ]
}

Open Position

{
  "market_id": "7b4d371f-b76c-4013-9260-9950eb1e0f3e",
  "market_ticker": "KXEPLTOP6-26-MUN",
  "name": "weatherman.allday",
  "open_position": true,
  "pnl": 40.0,
  "contracts": 500
}

Closed Position

{
  "market_id": "fda825f3-4425-4fba-892d-f0986f24337c",
  "market_ticker": "KXNCAAMBGAME-26FEB19IUINWRST-WRST",
  "name": "weatherman.allday",
  "open_position": false,
  "pnl": -20.88,
  "contracts": 2000
}

Trades

{
  "trade_id": "9fa464e9-a736-6b3c-9cf4-13398e30814f",
  "market_id": "e39ac7c1-b3ce-4b34-9738-ecce7d041121",
  "ticker": "KXTEMPNYCH-26MAY0403-T51.99",
  "price": 99,
  "price_dollars": "0.9900",
  "count": 1,
  "count_fp": "1.00",
  "taker_side": "yes",
  "maker_action": "buy",
  "taker_action": "buy",
  "maker_nickname": "weatherman.allday",
  "taker_nickname": "",
  "maker_social_id": "6d479151-102d-4b4b-b881-f86c7c2fc94c",
  "taker_social_id": "",
  "create_date": "2026-05-04T06:53:13.80876Z",
  "name": "weatherman.allday"
}

Top Categories

{
  "value": 11538.776,
  "tag": "Sports",
  "category": "Sports",
  "social_id": "",
  "name": "weatherman.allday"
}

Post

{
  "id": "7320b3a1-965e-48c0-a141-83fdae911829",
  "social_id": "9198dc7d-fb91-49c4-942e-4f6e5594e0a9",
  "market_title": "yes OG Anunoby: 2+,yes Shai Gilgeous-Alexander: 1+,yes Dylan Harper: 10+,yes Stephon Castle: 15+,yes Victor Wembanyama: 25+,yes Jalen Brunson: 25+,yes Karl-Anthony Towns: 15+,yes OG Anunoby: 15+,yes Paul George: 10+,yes Tyrese Maxey: 20+,yes VJ Edgecombe: 10+,yes LeBron James: 15+,yes Chet Holmgren: 10+,yes Shai Gilgeous-Alexander: 25+,yes Jaden McDaniels: 2+,yes Rudy Gobert: 10+,yes OG Anunoby: 4+,yes Kelly Oubre Jr.: 2+,yes Deandre Ayton: 8+,yes San Antonio wins by over 6.5 points,yes Oklahoma City wins by over 7.5 points",
  "event_title": "MVE",
  "event_long_title": "Philadelphia at New York",
  "series_title": "MVE Cross Category",
  "market_ticker": "KXMVECROSSCATEGORY-S2026BF6B0BFD21E-39C1E0D1080",
  "event_ticker": "KXMVECROSSCATEGORY-S2026BF6B0BFD21E",
  "series_tickers": [
    "KXMVECROSSCATEGORY"
  ],
  "nickname": "galamex1",
  "post_type": "idea",
  "content": "let’s go for tomorrow",
  "image_paths": null,
  "media": null,
  "dollar_roi": 22.272,
  "percentage_roi": 0.4864,
  "side": "yes",
  "cost_cents": 4578,
  "payout_if_win_cents": 2268700,
  "paid_out_cents": null,
  "value_cents": 6806,
  "num_positions_on_event": 1,
  "has_ever_sold": false,
  "likes_count": 13,
  "comments_count": 14,
  "bookmarks_count": 4,
  "liked": false,
  "bookmarked": false,
  "created_ts": 1777862457267517,
  "weight": 0,
  "recent_comment_content": "this one’s a lock",
  "recent_comment_nickname": "kalebwittaplay",
  "recent_comment_social_id": "862b0d41-1b30-4958-be34-f0558d3ac869",
  "profile_image_path": "galamex1-2026-04-20 01:11:16",
  "market_status": "",
  "market_close": 0,
  "settlement_source": "",
  "suggested_market_title": "",
  "product_metadata": {},
  "post_subtype": "",
  "position_odds": 0,
  "name": "galamex1",
  "created": "2026-05-04T04:40:57.267517"
}

Comment

{
  "id": "b9f7ae96-4e7a-4bad-8436-aa56f5eb0dd4",
  "post_id": "2938ce60-0855-4dd2-9431-f15cc819bafd",
  "social_id": "9198dc7d-fb91-49c4-942e-4f6e5594e0a9",
  "nickname": "galamex1",
  "content": "no one is buying that shit",
  "image_path": "",
  "profile_image_path": "galamex1-2026-04-20 01:11:16",
  "created_ts": 1777683411512761,
  "depth": 0,
  "likes_count": 2,
  "liked": false,
  "is_deleted": false,
  "media": null,
  "name": "galamex1",
  "created": "2026-05-02T02:56:51.512761",
  "post": {
    "id": "2938ce60-0855-4dd2-9431-f15cc819bafd",
    "social_id": "5b1cf5f4-6914-4a91-978f-9b1100b35141",
    "market_title": "yes Donovan Mitchell: 25+,yes Evan Mobley: 10+,yes Jarrett Allen: 10+,yes James Harden: 15+,yes Jakob Poeltl: 10+,yes RJ Barrett: 20+,yes Scottie Barnes: 15+,yes Ausar Thompson: 10+,yes Cade Cunningham: 25+,yes Duncan Robinson: 10+,yes Jalen Duren: 10+,yes Tobias Harris: 15+,yes Anthony Black: 10+,yes Desmond Bane: 10+,yes Jalen Suggs: 10+,yes Paolo Banchero: 20+,yes Wendell Carter Jr.: 10+,yes Alperen Sengun: 15+,yes Amen Thompson: 15+,yes Jabari Smith Jr.: 15+,yes Reed Sheppard: 10+,yes Tari Eason: 10+,yes Austin Reaves: 20+,yes Deandre Ayton: 10+,yes LeBron James: 20+,yes Marcus Smart: 10+,yes Over 202.5 points scored,yes Over 200.5 points scored",
    "event_title": "MVE",
    "event_long_title": "Combo",
    "series_title": "MVE Sport Mutli Game",
    "market_ticker": "KXMVESPORTSMULTIGAMEEXTENDED-S20268B7DBDFCB56-B1CF5859BC5",
    "event_ticker": "KXMVESPORTSMULTIGAMEEXTENDED-S20268B7DBDFCB56",
    "series_tickers": [
      "KXMVESPORTSMULTIGAMEEXTENDED"
    ],
    "nickname": "Yoboykail",
    "post_type": "idea",
    "content": "trust and buy!",
    "image_paths": null,
    "media": null,
    "dollar_roi": 9.545,
    "percentage_roi": 0.3042,
    "side": "yes",
    "cost_cents": 3137,
    "payout_if_win_cents": 1364100,
    "paid_out_cents": 0,
    "value_cents": 4092,
    "num_positions_on_event": 1,
    "has_ever_sold": false,
    "likes_count": 0,
    "comments_count": 2,
    "bookmarks_count": 0,
    "liked": false,
    "bookmarked": false,
    "created_ts": 1777683374624911,
    "weight": 0,
    "recent_comment_content": "",
    "recent_comment_nickname": "",
    "recent_comment_social_id": "",
    "profile_image_path": "Yoboykail-2026-04-18 17:00:21",
    "market_status": "",
    "market_close": 0,
    "settlement_source": "",
    "suggested_market_title": "",
    "product_metadata": null,
    "post_subtype": "",
    "position_odds": 0
  }
}

Likes

{
  "id": "d861e528-76f6-4ff3-a162-b444ae738264",
  "social_id": "b13c3389-6417-8bca-89cf-a619648ff986",
  "market_title": "Liverpool",
  "event_title": "WOL vs LFC (Mar 3)",
  "event_long_title": "Wolverhampton vs Liverpool",
  "series_title": "English Premier League Game",
  "market_ticker": "KXEPLGAME-26MAR03WOLLFC-LFC",
  "event_ticker": "KXEPLGAME-26MAR03WOLLFC",
  "series_tickers": [
    "KXEPLGAME"
  ],
  "nickname": "snipe9",
  "post_type": "roi",
  "content": "",
  "image_paths": null,
  "media": [
    {
      "provider": "giphy",
      "provider_id": "ujTVMASREzuRbH6zy5",
      "url": "https://media.giphy.com/media/ujTVMASREzuRbH6zy5/200h.webp",
      "content_type": "image/webp"
    }
  ],
  "dollar_roi": 0,
  "percentage_roi": 0,
  "side": "no",
  "cost_cents": 68000,
  "payout_if_win_cents": 200000,
  "paid_out_cents": 0,
  "value_cents": 198000,
  "num_positions_on_event": 0,
  "has_ever_sold": false,
  "likes_count": 3,
  "comments_count": 5,
  "bookmarks_count": 0,
  "liked": true,
  "bookmarked": false,
  "created_ts": 1772575657137029,
  "weight": 0,
  "recent_comment_content": "how are u so good at this",
  "recent_comment_nickname": "rich.mindet",
  "recent_comment_social_id": "4e61739e-0b50-4d5b-9b86-36e8ce4d6cc0",
  "profile_image_path": "hacker",
  "market_status": "",
  "market_close": 0,
  "settlement_source": "",
  "suggested_market_title": "",
  "product_metadata": {},
  "post_subtype": "",
  "position_odds": 34,
  "name": "galamex1",
  "created": "2026-03-03T23:07:37.137029"
}

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