🕷️ Crawler Inspector

URL Lookup

Direct Parameter Lookup

Raw Queries and Responses

1. Shard Calculation

Query:

Response:

Calculated Shard: 97 (from laksa005)

2. Crawled Status Check

Query:

curl -X POST \
  'http://laksa097.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 = 91 AND (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://www.kaggle.com/competitions/titanic\')), getAhrefsUnparsedNoserviceFromURL(\'https://www.kaggle.com/competitions/titanic\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/www.kaggle.com\/competitions\/titanic","crawl_time":1777342205,"first_indexed_time":1650239725,"http_code":200,"src_unparsed":"com,kaggle!www,\/competitions\/titanic s443","src_root_hash":"18048258234650878297","history_drop_reason":null,"meta_title":"Titanic - Machine Learning from Disaster | Kaggle","meta_descriptions":["Start here! Predict survival on the Titanic and get familiar with ML basics"],"meta_canonical":null,"ml_categories_json":"{\"\/Science\":443,\"\/Science\/Computer_Science\":414,\"\/Science\/Computer_Science\/Machine_Learning_and_Artificial_Intelligence\":407,\"\/Computers_and_Electronics\":377,\"\/Computers_and_Electronics\/Software\":324,\"\/Computers_and_Electronics\/Software\/Educational_Software\":218,\"\/Arts_and_Entertainment\":108}","ml_types_json":"{\"\/Article\":564,\"\/Article\/Tutorial_or_Guide\":336}","ml_intent_types_json":"{\"Informational\":996}","meta_language":"en","attrs_author":null,"attrs_publish_time":0,"attrs_original_publish_time":1650239725,"attrs_is_republished":0,"attrs_nr_words":"95","attrs_boilerpipe_nr_words":"79","body_ext_links_number":0,"body_int_links_number":1,"meta_nofollow":0,"meta_noarchive":0,"props_was_rendered":1,"src_redirect":"","download_time_msec":53,"download_ttfb_msec":53,"download_size":2182}

3. Robots.txt Check

Query:

Response:

4. Spam/Ban Check

Query:

Response:

5. Seen Status Check

ℹ️ Skipped - page is already crawled

📍

LOCATION

Host 97 · Partition 91

laksa097

18048258234650878297

📄

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://www.kaggle.com/competitions/titanic

Last Crawled

2026-04-28 02:10:05 (1 month ago)

First Indexed

2022-04-17 23:55:25 (4 years ago)

HTTP Status Code

200

Content

Meta Title

Titanic - Machine Learning from Disaster | Kaggle

Meta Description

Start here! Predict survival on the Titanic and get familiar with ML basics

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

/Science		44.3%
/Science/Computer_Science		41.4%
/Science/Computer_Science/Machine_Learning_and_Artificial_Intelligence		40.7%
/Computers_and_Electronics		37.7%
/Computers_and_Electronics/Software		32.4%
/Computers_and_Electronics/Software/Educational_Software		21.8%
/Arts_and_Entertainment		10.8%

Raw JSON

{
    "/Science": 443,
    "/Science/Computer_Science": 414,
    "/Science/Computer_Science/Machine_Learning_and_Artificial_Intelligence": 407,
    "/Computers_and_Electronics": 377,
    "/Computers_and_Electronics/Software": 324,
    "/Computers_and_Electronics/Software/Educational_Software": 218,
    "/Arts_and_Entertainment": 108
}

ML Page Types

/Article		56.4%
/Article/Tutorial_or_Guide		33.6%

Raw JSON

{
    "/Article": 564,
    "/Article/Tutorial_or_Guide": 336
}

ML Intent Types

Informational

99.6%

Raw JSON

{
    "Informational": 996
}

Content Metadata

Language

Author

null

Publish Time

not set

Original Publish Time

2022-04-17 23:55:25 (4 years ago)

Republished

Word Count (Total)

Word Count (Content)

Links

External Links

Internal Links

Technical SEO

Meta Nofollow

Meta Noarchive

JS Rendered

Yes

Redirect Target

null

Performance

Download Time (ms)

TTFB (ms)

Download Size (bytes)

2,182

Location

Host ID

97 (laksa097)

Partition ID

Root Hash

18048258234650878297

Unparsed URL

com,kaggle!www,/competitions/titanic s443