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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Failed to parse string: 'See METHODOLOGY.md - independent cross-check against the separately-run Anti-Bot Adoption Index, not folded into this dataset's own totals' as a scalar of type double
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2312, in cast_table_to_schema
                  cast_array_to_feature(
                  ~~~~~~~~~~~~~~~~~~~~~^
                      table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      feature,
                      ^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1861, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ~~~~^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2152, in cast_array_to_feature
                  return array_cast(
                      array,
                  ...<2 lines>...
                      allow_decimal_to_str=allow_decimal_to_str,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1863, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2015, in array_cast
                  return array.cast(pa_type)
                         ~~~~~~~~~~^^^^^^^^^
                File "pyarrow/array.pxi", line 1161, in pyarrow.lib.Array.cast
                File "/usr/local/lib/python3.14/site-packages/pyarrow/compute.py", line 414, in cast
                  return call_function("cast", [arr], options, memory_pool)
                File "pyarrow/_compute.pyx", line 604, in pyarrow._compute.call_function
                File "pyarrow/_compute.pyx", line 399, in pyarrow._compute.Function.call
                  result = GetResultValue(
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Failed to parse string: 'See METHODOLOGY.md - independent cross-check against the separately-run Anti-Bot Adoption Index, not folded into this dataset's own totals' as a scalar of type double
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1880, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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metric
string
value
float64
reachable_domains
847,491
avg_tech_count_per_reachable_site
7.81
zero_analytics_detected_count
477,615
zero_analytics_detected_pct_of_reachable
56.4
google_analytics_count
215,797
google_analytics_pct_of_reachable
25.5
meta_pixel_count
70,646
meta_pixel_pct_of_reachable
8.3
privacy_analytics_matomo_count
10,920
privacy_analytics_plausible_count
1,991
privacy_analytics_posthog_count
2,018
privacy_analytics_fathom_count
836
privacy_analytics_combined_count
15,765
privacy_analytics_combined_pct_of_reachable
1.86
captcha_sites_count
142859
captcha_sites_pct_of_reachable
16.9
captcha_technologies_checked
reCAPTCHA|hCaptcha|Cloudflare Turnstile|Arkose Labs
antibot_index_crosscheck_note
See METHODOLOGY.md - independent cross-check against the separately-run Anti-Bot Adoption Index, not folded into this dataset's own totals
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End of preview.

We Fingerprinted the Top 1,000,000 Websites — open data

Aggregates over a homepage technology-stack fingerprint of the Tranco top-1,000,000 domain list, snapshot 2026-08-25 (run_id=top1m-2026-08-25-full-v2, detector version 2026.10.47). One record per domain — CDN, CMS, ecommerce platform, web server, SSL/TLS issuer, DNS provider, analytics, and more — detected from homepage HTML and response headers, aggregated into the tables below, plus a stratified ~10,000-domain row-level sample.

Companion to the study We Fingerprinted the Top 1,000,000 Websites. The Top 1,000 Run a Completely Different Stack.. The same underlying census is browsable and filterable as a queryable Tech Stack dataset.

Headline findings

  • The stack flips as you go down the rank list. Enterprise bot management runs 26.3% of the top 1,000 sites by Tranco rank, falling to 9.8% of the 100K–1M tail — a 2.7× gradient. React meta-frameworks (Next.js, Nuxt.js, Astro, Gatsby, SvelteKit, Remix) fall the same way, 16.4% → 6.0%. WordPress and free-tier Cloudflare CDN adoption run the opposite direction — 10.6% → 19.8% and 20.8% → 42.2% respectively.
  • 84.7% of the 1,000,000 domains resolve a working homepage (847,491 reachable). A reachable=false record means the fetch itself failed — it is never counted as "zero technology detected." See METHODOLOGY.md.
  • Chinese-TLD (.cn) sites are measurably harder for a Western-signature-trained detector to see. Reachable .cn sites average 3.56 detected technologies vs. 7.84 for the rest of the reachable universe — a 2.2× gap — and show zero detected technology at 5.09% vs. 0.54% elsewhere (9.4×). This is a detector-coverage limitation, not a claim about the underlying sites — see the "What this dataset is NOT" section of METHODOLOGY.md before citing it.
  • Let's Encrypt and Google Trust Services combined secure 72.4% of every site carrying an SSL/TLS issuer signature — the free-CA era, measured directly.
  • This exact top-1K/10K/100K/1M rank segmentation is BuiltWith's paid "Market Analysis" product, $295–995/month. This release computes the same kind of cut from the open Tranco census, free.

Files

File Contents
data/summary.json Run identity: run_id, detector version, snapshot date, total/reachable/unreachable counts
data/category-prevalence.csv Domains carrying a detected technology in each of 40 categories (CDN, CMS, Analytics, …)
data/cdn-vendors.csv Vendor share within the CDN category
data/cms-platforms.csv Platform share within the CMS category
data/ecommerce-platforms.csv Platform share within the Ecommerce category
data/web-servers.csv Web server share within the Web server category
data/ssl-issuers.csv Certificate-issuer share within the SSL/TLS category
data/dns-providers.csv DNS-provider share within the DNS provider category
data/rank-band-stack-inversion.csv The headline table — bot management / React frameworks / WordPress / Cloudflare CDN / avg tech count, split across 4 Tranco rank bands
data/tld-distribution.csv Domain count by TLD, top 40 + a long-tail "other" bucket
data/cn-visibility-gap.csv .cn vs. rest-of-universe reachability and detection-coverage comparison
data/analytics-tracking-load.csv Analytics-tag adoption, privacy-friendly-analytics share, zero-analytics rate
data/captcha-crosscheck.csv CAPTCHA-technology adoption, cross-validated against the separately-run Anti-Bot Adoption Index
data/sample-domains-10k.csv ~9,850-row stratified sample (systematic draw by Tranco rank within each of the 4 bands above) — see data/sample-schema.md for the exact method and field list

Methodology (condensed — see METHODOLOGY.md for the full version)

Homepage HTML and response headers for the Tranco top-1,000,000 domains were fingerprinted against a technology-signature database (CDN, CMS, ecommerce, analytics, web server, and more) — the same category of detection BuiltWith and Wappalyzer use. HTTP-only (no browser rendering); Tranco-seeded only. Collected via the Crawlora web-data API.

Caveats

  • reachable=false does not mean "no technology detected." It means the homepage fetch itself failed. Every adoption-rate figure in this release excludes unreachable domains from its denominator.
  • The rank-band table is a pinned snapshot, not a live query — the public /datasets/techstack/* API sorts by rank but has no rank-range filter, so this specific cut is reproducible only from a full-census pass, not the REST API.
  • .cn figures describe detector coverage, not the underlying Chinese web — see METHODOLOGY.md's "What this dataset is NOT" section before citing the visibility-gap numbers.
  • This is a frozen dated snapshot, not a live feed. It will not reflect stack changes made after 2026-08-25. For current data, query the live API.
  • The row-level sample is ~1% of the full census (9,850 of 1,000,000 domains), stratified by rank band, not the full dataset — see data/sample-schema.md for exactly which fields are and aren't included and why.

License & citation

Released under CC BY 4.0 — use it for anything, just attribute.

Crawlora (2026). We Fingerprinted the Top 1,000,000 Websites — aggregate technology census by Tranco rank. https://github.com/Crawlora-org/techstack-census-data (CC BY 4.0)

See CITATION.cff for machine-readable citation metadata, and CHANGELOG.md for the refresh history and cadence.

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