🕷️ Crawler Inspector

URL Lookup

Direct Parameter Lookup

Raw Queries and Responses

1. Shard Calculation

Query:

Response:

Calculated Shard: 185 (from laksa011)

2. Crawled Status Check

Query:

curl -X POST \
  'http://laksa185.int.ahrefs:8124/' \
  -H 'Content-Type: text/plain' \
  -H 'X-ClickHouse-Database: crawler3' \
  -H 'Authorization: Basic YXBpOg==' \
  -d 'SELECT getAhrefsURLFromUnparsed(src_unparsed) AS found_url, ifNull(toUnixTimestamp(download_stamp), 0) AS crawl_time, ifNull(toUnixTimestamp(props_url_first_seen), 0) AS first_indexed_time, download_http_code AS http_code, src_unparsed AS src_unparsed, src_root_hash AS src_root_hash, history_drop_reason AS history_drop_reason, meta_title AS meta_title, meta_descriptions AS meta_descriptions, meta_canonical AS meta_canonical, ml_categories_json AS ml_categories_json, ml_types_json AS ml_types_json, ml_intent_types_json AS ml_intent_types_json, meta_language AS meta_language, attrs_author AS attrs_author, ifNull(toUnixTimestamp(attrs_publish_time), 0) AS attrs_publish_time, ifNull(toUnixTimestamp(attrs_original_publish_time), 0) AS attrs_original_publish_time, ifNull(attrs_is_republished, 0) AS attrs_is_republished, ifNull(attrs_nr_words, 0) AS attrs_nr_words, ifNull(attrs_boilerpipe_nr_words, 0) AS attrs_boilerpipe_nr_words, ifNull(body_ext_links_number, 0) AS body_ext_links_number, ifNull(body_int_links_number, 0) AS body_int_links_number, ifNull(meta_nofollow, 0) AS meta_nofollow, ifNull(meta_noarchive, 0) AS meta_noarchive, ifNull(props_was_rendered, 0) AS props_was_rendered, ifNull(src_redirect, \'\') AS src_redirect, ifNull(download_time_msec, 0) AS download_time_msec, ifNull(download_ttfb_msec, 0) AS download_ttfb_msec, ifNull(download_size, 0) AS download_size FROM crawler3.page_info_local FINAL PREWHERE int_partition_id = 2 AND (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://numpy.org/install/\')), getAhrefsUnparsedNoserviceFromURL(\'https://numpy.org/install/\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/numpy.org\/install\/","crawl_time":1777305330,"first_indexed_time":1590326759,"http_code":200,"src_unparsed":"org,numpy!\/install\/ s443","src_root_hash":"448416686592400585","history_drop_reason":null,"meta_title":"NumPy - Installing NumPy","meta_descriptions":["Why NumPy? Powerful n-dimensional arrays. Numerical computing tools. Interoperable. Performant. Open source."],"meta_canonical":null,"ml_categories_json":"{\"\/Computers_and_Electronics\":956,\"\/Computers_and_Electronics\/Software\":509,\"\/Computers_and_Electronics\/Software\/Software_Utilities\":334,\"\/Internet_and_Telecom\":100}","ml_types_json":"{\"\/Article\":616,\"\/Article\/How_to\":332}","ml_intent_types_json":"{\"Informational\":796,\"Commercial\":164,\"Transactional\":139}","meta_language":"en","attrs_author":null,"attrs_publish_time":0,"attrs_original_publish_time":1590326759,"attrs_is_republished":0,"attrs_nr_words":"667","attrs_boilerpipe_nr_words":"602","body_ext_links_number":3,"body_int_links_number":35,"meta_nofollow":0,"meta_noarchive":0,"props_was_rendered":0,"src_redirect":"","download_time_msec":88,"download_ttfb_msec":88,"download_size":7422}

3. Robots.txt Check

Query:

Response:

4. Spam/Ban Check

Query:

Response:

5. Seen Status Check

ℹ️ Skipped - page is already crawled

📍

LOCATION

Host 185 · Partition 2

laksa185

448416686592400585

📄

INDEXABLE

✅

CRAWLED

1 month ago

🤖

ROBOTS ALLOWED

Page Info Filters

Filter	Status	Condition	Details
HTTP status	PASS	`download_http_code = 200`	HTTP 200
Age cutoff	PASS	`download_stamp > now() - 6 MONTH`	1.2 months ago
History drop	PASS	`isNull(history_drop_reason)`	No drop reason
Spam/ban	PASS	`fh_dont_index != 1 AND ml_spam_score = 0`	ml_spam_score=0
Canonical	PASS	`meta_canonical IS NULL OR = '' OR = src_unparsed`	Not set

Page Details

Property

Value

URL

https://numpy.org/install/

Last Crawled

2026-04-27 15:55:30 (1 month ago)

First Indexed

2020-05-24 13:25:59 (6 years ago)

HTTP Status Code

200

Content

Meta Title

NumPy - Installing NumPy

Meta Description

Why NumPy? Powerful n-dimensional arrays. Numerical computing tools. Interoperable. Performant. Open source.

Meta Canonical

null

Boilerpipe Text

heavy column, fetched on demand

Markdown

heavy column, fetched on demand

Readable Markdown

heavy column, fetched on demand

ML Classification

ML Categories

/Computers_and_Electronics		95.6%
/Computers_and_Electronics/Software		50.9%
/Computers_and_Electronics/Software/Software_Utilities		33.4%
/Internet_and_Telecom		10.0%

Raw JSON

{
    "/Computers_and_Electronics": 956,
    "/Computers_and_Electronics/Software": 509,
    "/Computers_and_Electronics/Software/Software_Utilities": 334,
    "/Internet_and_Telecom": 100
}

ML Page Types

/Article		61.6%
/Article/How_to		33.2%

Raw JSON

{
    "/Article": 616,
    "/Article/How_to": 332
}

ML Intent Types

Informational		79.6%
Commercial		16.4%
Transactional		13.9%

Raw JSON

{
    "Informational": 796,
    "Commercial": 164,
    "Transactional": 139
}

Content Metadata

Language

Author

null

Publish Time

not set

Original Publish Time

2020-05-24 13:25:59 (6 years ago)

Republished

Word Count (Total)

667

Word Count (Content)

602

Links

External Links

Internal Links

Technical SEO

Meta Nofollow

Meta Noarchive

JS Rendered

Redirect Target

null

Performance

Download Time (ms)

TTFB (ms)

Download Size (bytes)

7,422

Location

Host ID

185 (laksa185)

Partition ID

Root Hash

448416686592400585

Unparsed URL

org,numpy!/install/ s443