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Kaggle Scraper

Pricing

from $10.00 / 1,000 results

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Kaggle Scraper

Kaggle Scraper

Scrape Kaggle datasets, competitions, and notebooks. Get download counts, votes, tags, usability ratings, and metadata for ML and data science resources.

Pricing

from $10.00 / 1,000 results

Rating

0.0

(0)

Developer

lulz bot

lulz bot

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

6 days ago

Last modified

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Scrape Kaggle datasets, competitions, and notebooks via the Kaggle API. Get download counts, votes, views, usability ratings, tags, and full metadata for machine learning and data science resources.

Features

  • Datasets: Search and list with download counts, votes, views, usability ratings, file sizes, licenses, and tags
  • Competitions: Get rewards, deadlines, team counts, categories, and evaluation metrics
  • Notebooks: Find kernels with vote counts, views, languages, and run times
  • Sorting: By hottest, votes, updated, or active
  • Pagination: Automatically fetches multiple pages up to your limit
  • No API key required for basic listing

Output Fields (Datasets)

FieldDescription
titleDataset title
subtitleShort description
creatorDataset owner
urlDirect link to dataset
downloadCountTotal downloads
voteCountTotal upvotes
viewCountTotal views
totalBytesDataset size in bytes
usabilityRatingKaggle usability score (0-1)
tagsTopic tags
lastUpdatedLast update timestamp
licenseData license
scrapedAtISO timestamp

Output Fields (Competitions)

FieldDescription
titleCompetition title
urlCompetition page URL
rewardPrize amount
deadlineSubmission deadline
teamCountNumber of teams
categoryCompetition category
tagsTopic tags
scrapedAtISO timestamp

Use Cases

  • ML Research: Find popular datasets for training models
  • Competition Tracking: Monitor active Kaggle competitions and prizes
  • Trend Analysis: Track what topics and tools are trending in data science
  • Dataset Discovery: Search for datasets by topic with quality metrics
  • Notebook Mining: Find popular kernels and code examples

Example Output

{
"title": "House Prices - Advanced Regression Techniques",
"subtitle": "Predict sales prices and practice feature engineering",
"creator": "annacompetition",
"url": "https://www.kaggle.com/datasets/annacompetition/house-prices",
"downloadCount": 245000,
"voteCount": 1850,
"viewCount": 890000,
"totalBytes": 524288,
"usabilityRating": 0.94,
"tags": ["housing", "regression", "tabular"],
"lastUpdated": "2025-08-15T00:00:00Z",
"license": "CC0: Public Domain",
"dataType": "dataset",
"scrapedAt": "2026-04-26T12:00:00.000Z"
}

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