Crawler Inspector

1. Shard Calculation

Query:

Response:

Calculated Shard: 153 (from laksa048)

2. Crawled Status Check

Query:

curl -X POST \
  'http://laksa153.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 = 16 AND (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://www.zendesk.com/it/blog/leverage-exponential-smoothing-formula-forecasting/\')), getAhrefsUnparsedNoserviceFromURL(\'https://www.zendesk.com/it/blog/leverage-exponential-smoothing-formula-forecasting/\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/www.zendesk.com\/it\/blog\/leverage-exponential-smoothing-formula-forecasting\/","crawl_time":1774700480,"first_indexed_time":1665525626,"http_code":200,"src_unparsed":"com,zendesk!www,\/it\/blog\/leverage-exponential-smoothing-formula-forecasting\/ s443","src_root_hash":"11136510553130863353","history_drop_reason":null,"meta_title":"How to leverage the exponential smoothing formula for forecasting","meta_descriptions":["In this post, we’ll cut through all of the dense algebraic equations to explain what exponential smoothing is and how it’s used in sales forecasting"],"meta_canonical":null,"ml_categories_json":"","ml_types_json":"","ml_intent_types_json":"","meta_language":"it-it","attrs_author":null,"attrs_publish_time":1579167648,"attrs_original_publish_time":1579167648,"attrs_is_republished":0,"attrs_nr_words":"2152","attrs_boilerpipe_nr_words":"1338","body_ext_links_number":17,"body_int_links_number":120,"meta_nofollow":0,"meta_noarchive":0,"props_was_rendered":0,"src_redirect":"","download_time_msec":673,"download_ttfb_msec":668,"download_size":49541}

Filter	Status	Condition	Details
HTTP status	PASS	`download_http_code = 200`	HTTP 200
Age cutoff	PASS	`download_stamp > now() - 6 MONTH`	2.2 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

Property	Value
URL	https://www.zendesk.com/it/blog/leverage-exponential-smoothing-formula-forecasting/
Last Crawled	2026-03-28 12:21:20 (2 months ago)
First Indexed	2022-10-11 22:00:26 (3 years ago)
HTTP Status Code	200
Content
Meta Title	How to leverage the exponential smoothing formula for forecasting
Meta Description	In this post, we’ll cut through all of the dense algebraic equations to explain what exponential smoothing is and how it’s used in sales forecasting
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	it-it
Author	null
Publish Time	2020-01-16 09:40:48 (6 years ago)
Original Publish Time	2020-01-16 09:40:48 (6 years ago)
Republished	No
Word Count (Total)	2,152
Word Count (Content)	1,338
Links
External Links	17
Internal Links	120
Technical SEO
Meta Nofollow	No
Meta Noarchive	No
JS Rendered	No
Redirect Target	null
Performance
Download Time (ms)	673
TTFB (ms)	668
Download Size (bytes)	49,541
Location
Host ID	153 (laksa153)
Partition ID	16
Root Hash	11136510553130863353
Unparsed URL	com,zendesk!www,/it/blog/leverage-exponential-smoothing-formula-forecasting/ s443

🕷️ Crawler Inspector

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1. Shard Calculation

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Response:

2. Crawled Status Check

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3. Robots.txt Check

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4. Spam/Ban Check

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Response:

5. Seen Status Check

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