open-index/commoncrawl-urls

Common Crawl URL Seed

Every URL in a Common Crawl snapshot, as partitioned Parquet, ready to reseed a crawl

What is it?

This dataset is the full URL list of a Common Crawl snapshot, pulled straight from the crawl's columnar URL index and written as partitioned Parquet. Common Crawl is a non-profit that crawls the web and freely publishes its archives. Each snapshot ships a columnar index whose url column names every page the crawl captured. This dataset is that column, deduplicated and sharded, so a downstream crawler can reseed from a known frontier without pulling the 150 GB+ index again.

It currently holds crawl CC-MAIN-2026-25 (warc subset) with 2,098,491,742 URLs across 256 shards.

The dataset is released under the Open Data Commons Attribution License (ODC-By) v1.0, the same license Common Crawl uses.

What is being released?

The URLs are sharded by host. Each shard is the set of URLs whose host hashes into one contiguous slice of the 64-bit hostkey space, so every URL of a host lands in exactly one shard and the shards tile the whole space with no gap and no overlap. That is the same partitioning meguri assigns when it ingests a seed, so a shard maps one to one onto a crawl-frontier partition. The shards live under a crawl-partitioned directory:

data/
  crawl=CC-MAIN-2026-25/
    shard-00000.parquet
    shard-00001.parquet
    shard-00002.parquet
    ...
manifest.json

manifest.json is the shard map: it records each shard's hostkey range and row count, so a puller can rebuild the exact same frontier partitions the crawl used.

Schema

Column	Type	Description
url	string	A URL captured by the crawl
host	string	Host parsed from the URL, the key the shard is partitioned on

How to load it

Using datasets

from datasets import load_dataset

# stream every URL in the crawl
ds = load_dataset("open-index/commoncrawl-urls", name="CC-MAIN-2026-25", split="train", streaming=True)
for row in ds:
    print(row["url"])

# load one shard into memory
ds = load_dataset(
    "open-index/commoncrawl-urls",
    data_files="data/crawl=CC-MAIN-2026-25/shard-00000.parquet",
    split="train",
)

Using DuckDB

SELECT url
FROM read_parquet('hf://datasets/open-index/commoncrawl-urls/data/crawl=CC-MAIN-2026-25/**/*.parquet')
WHERE host = 'en.wikipedia.org';

Reseed a crawl frontier

Download the shards and hand them to meguri to rebuild the crawl frontier without touching Common Crawl again:

huggingface-cli download open-index/commoncrawl-urls --repo-type dataset \
  --include "data/crawl=CC-MAIN-2026-25/**" --local-dir ./cc-urls

# the parquet url column is the seed; feed it straight into a meguri store
meguri shard build --urls ./cc-urls/data/crawl=CC-MAIN-2026-25 --out ./frontier

Provenance

The URLs come from the Common Crawl columnar URL index (cc-index/table/cc-main/warc), subset warc, for crawl CC-MAIN-2026-25. Only the url column of the index is read; nothing about page content is included here. The pull, the host sharding, and this dataset are produced by ccrawl-cli.

Sizes

Measured across 256 shards of CC-MAIN-2026-25.

Stage	Size
URLs	2,098,491,742
URL text (uncompressed)	149.4 GB
Parquet (Zstd)	31.0 GB

Licensing

Released under the Open Data Commons Attribution License (ODC-By) v1.0. Use is also subject to Common Crawl's Terms of Use. The URLs point at content that remains subject to its publishers' rights.