Crawler Inspector

1. Shard Calculation

Query:

Response:

Calculated Shard: 154 (from laksa093)

2. Crawled Status Check

Query:

curl -X POST \
  'http://laksa154.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, attrs_boilerpipe_text AS attrs_boilerpipe_text, attrs_markdown AS attrs_markdown, attrs_readable_markdown AS attrs_readable_markdown, meta_canonical AS meta_canonical FROM crawler3.page_info_local FINAL PREWHERE (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://www.machinelearningmastery.com/exponential-smoothing-for-time-series-forecasting-in-python/\')), getAhrefsUnparsedNoserviceFromURL(\'https://www.machinelearningmastery.com/exponential-smoothing-for-time-series-forecasting-in-python/\'))) FORMAT JSONEachRow'

Filter	Status	Condition	Details
HTTP status	FAIL	`download_http_code = 200`	HTTP 301
Age cutoff	PASS	`download_stamp > now() - 6 MONTH`	0.3 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.machinelearningmastery.com/exponential-smoothing-for-time-series-forecasting-in-python/
Last Crawled	2026-04-04 02:06:24 (10 days ago)
First Indexed	2024-08-17 12:43:10 (1 year ago)
HTTP Status Code	301
Meta Title	null
Meta Description	null
Meta Canonical	null
Boilerpipe Text	null
Markdown	null
Readable Markdown	null
Shard	154 (laksa)
Root Hash	16400908927674979154
Unparsed URL	com,machinelearningmastery!www,/exponential-smoothing-for-time-series-forecasting-in-python/ s443

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1. Shard Calculation

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2. Crawled Status Check

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3. Robots.txt Check

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4. Spam/Ban Check

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5. Seen Status Check

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