Crawler Inspector

1. Shard Calculation

Query:

Response:

Calculated Shard: 158 (from laksa196)

2. Crawled Status Check

Query:

curl -X POST \
  'http://laksa158.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 = 93 AND (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://www.techieclues.com/blogs/how-to-remove-nan-values-from-lists-in-python\')), getAhrefsUnparsedNoserviceFromURL(\'https://www.techieclues.com/blogs/how-to-remove-nan-values-from-lists-in-python\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/www.techieclues.com\/blogs\/how-to-remove-nan-values-from-lists-in-python","crawl_time":1778897942,"first_indexed_time":1682048664,"http_code":200,"src_unparsed":"com,techieclues!www,\/blogs\/how-to-remove-nan-values-from-lists-in-python s443","src_root_hash":"7538794850101978758","history_drop_reason":null,"meta_title":"How to Remove NaN Values from Lists in Python","meta_descriptions":["In this blog, we will learn different methods to remove 'NaN' values from lists in Python, including list comprehension, for loop, filter() function, and numpy library. Understand their pros and cons, and choose the best approach for your data analysis and preprocessing tasks."],"meta_canonical":null,"ml_categories_json":"","ml_types_json":"","ml_intent_types_json":"","meta_language":"en","attrs_author":null,"attrs_publish_time":0,"attrs_original_publish_time":1682048664,"attrs_is_republished":0,"attrs_nr_words":"1494","attrs_boilerpipe_nr_words":"939","body_ext_links_number":6,"body_int_links_number":79,"meta_nofollow":0,"meta_noarchive":0,"props_was_rendered":0,"src_redirect":"","download_time_msec":150,"download_ttfb_msec":149,"download_size":13753}

Filter	Status	Condition	Details
HTTP status	PASS	`download_http_code = 200`	HTTP 200
Age cutoff	PASS	`download_stamp > now() - 6 MONTH`	0.6 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://www.techieclues.com/blogs/how-to-remove-nan-values-from-lists-in-python
Last Crawled	2026-05-16 02:19:02 (18 days ago)
First Indexed	2023-04-21 03:44:24 (3 years ago)
HTTP Status Code	200
Content
Meta Title	How to Remove NaN Values from Lists in Python
Meta Description	In this blog, we will learn different methods to remove 'NaN' values from lists in Python, including list comprehension, for loop, filter() function, and numpy library. Understand their pros and cons, and choose the best approach for your data analysis and preprocessing tasks.
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	en
Author	null
Publish Time	not set
Original Publish Time	2023-04-21 03:44:24 (3 years ago)
Republished	No
Word Count (Total)	1,494
Word Count (Content)	939
Links
External Links	6
Internal Links	79
Technical SEO
Meta Nofollow	No
Meta Noarchive	No
JS Rendered	No
Redirect Target	null
Performance
Download Time (ms)	150
TTFB (ms)	149
Download Size (bytes)	13,753
Location
Host ID	158 (laksa158)
Partition ID	93
Root Hash	7538794850101978758
Unparsed URL	com,techieclues!www,/blogs/how-to-remove-nan-values-from-lists-in-python s443

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