Crawler Inspector

1. Shard Calculation

Query:

Response:

Calculated Shard: 138 (from laksa041)

2. Crawled Status Check

Query:

curl -X POST \
  'http://laksa138.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 = 11 AND (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://codegym.cc/groups/posts/remove-nan-using-python\')), getAhrefsUnparsedNoserviceFromURL(\'https://codegym.cc/groups/posts/remove-nan-using-python\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/codegym.cc\/groups\/posts\/remove-nan-using-python","crawl_time":1776967989,"first_indexed_time":1723799369,"http_code":200,"src_unparsed":"cc,codegym!\/groups\/posts\/remove-nan-using-python s443","src_root_hash":"17877044333714262338","history_drop_reason":null,"meta_title":"Remove NaN Using Python","meta_descriptions":["Welcome, fellow, today, we’re diving into a topic that’s not only essential for data processing but also pretty common when you’re working with real-world datasets. We’re talking about those pesky NaNs—short for \"Not a Number\""],"meta_canonical":null,"ml_categories_json":"","ml_types_json":"","ml_intent_types_json":"","meta_language":null,"attrs_author":"Artem Divertitto","attrs_publish_time":1723653840,"attrs_original_publish_time":1723653840,"attrs_is_republished":0,"attrs_nr_words":"1349","attrs_boilerpipe_nr_words":"1071","body_ext_links_number":13,"body_int_links_number":73,"meta_nofollow":0,"meta_noarchive":0,"props_was_rendered":0,"src_redirect":"","download_time_msec":92,"download_ttfb_msec":64,"download_size":52582}

Filter	Status	Condition	Details
HTTP status	PASS	`download_http_code = 200`	HTTP 200
Age cutoff	PASS	`download_stamp > now() - 6 MONTH`	1.4 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

Property	Value
URL	https://codegym.cc/groups/posts/remove-nan-using-python
Last Crawled	2026-04-23 18:13:09 (1 month ago)
First Indexed	2024-08-16 09:09:29 (1 year ago)
HTTP Status Code	200
Content
Meta Title	Remove NaN Using Python
Meta Description	Welcome, fellow, today, we’re diving into a topic that’s not only essential for data processing but also pretty common when you’re working with real-world datasets. We’re talking about those pesky NaNs—short for "Not a Number"
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	null
ML Page Types	null
ML Intent Types	null
Content Metadata
Language	null
Author	Artem Divertitto
Publish Time	2024-08-14 16:44:00 (1 year ago)
Original Publish Time	2024-08-14 16:44:00 (1 year ago)
Republished	No
Word Count (Total)	1,349
Word Count (Content)	1,071
Links
External Links	13
Internal Links	73
Technical SEO
Meta Nofollow	No
Meta Noarchive	No
JS Rendered	No
Redirect Target	null
Performance
Download Time (ms)	92
TTFB (ms)	64
Download Size (bytes)	52,582
Location
Host ID	138 (laksa138)
Partition ID	11
Root Hash	17877044333714262338
Unparsed URL	cc,codegym!/groups/posts/remove-nan-using-python s443

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1. Shard Calculation

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2. Crawled Status Check

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5. Seen Status Check

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