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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 datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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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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=falserecord means the fetch itself failed — it is never counted as "zero technology detected." SeeMETHODOLOGY.md. - Chinese-TLD (
.cn) sites are measurably harder for a Western-signature-trained detector to see. Reachable.cnsites 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 ofMETHODOLOGY.mdbefore 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=falsedoes 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. .cnfigures describe detector coverage, not the underlying Chinese web — seeMETHODOLOGY.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.mdfor 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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