Crawler Inspector

1. Shard Calculation

Query:

Response:

Calculated Shard: 77 (from laksa149)

2. Crawled Status Check

Query:

curl -X POST \
  'http://laksa077.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 = 31 AND (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://medium.com/data-science/building-a-question-answering-system-part-1-9388aadff507\')), getAhrefsUnparsedNoserviceFromURL(\'https://medium.com/data-science/building-a-question-answering-system-part-1-9388aadff507\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/medium.com\/data-science\/building-a-question-answering-system-part-1-9388aadff507","crawl_time":1755925511,"first_indexed_time":0,"http_code":200,"src_unparsed":"com,medium!\/data-science\/building-a-question-answering-system-part-1-9388aadff507 s443","src_root_hash":"13179037029838926277","history_drop_reason":null,"meta_title":"Building a Question-Answering System from Scratch— Part 1 | by Alvira Swalin | TDS Archive | Medium","meta_descriptions":["As my Masters is coming to an end, I wanted to work on an interesting NLP project where I can use all the techniques(not exactly) I have learned at USF. With the help of my professors and discussions…"],"meta_canonical":null,"ml_categories_json":"","ml_types_json":"","ml_intent_types_json":"","meta_language":"en","attrs_author":"Alvira Swalin","attrs_publish_time":1527893111,"attrs_original_publish_time":1527893111,"attrs_is_republished":0,"attrs_nr_words":"2226","attrs_boilerpipe_nr_words":"1574","body_ext_links_number":21,"body_int_links_number":34,"meta_nofollow":0,"meta_noarchive":1,"props_was_rendered":0,"src_redirect":"","download_time_msec":801,"download_ttfb_msec":800,"download_size":43812}

Filter	Status	Condition	Details
HTTP status	PASS	`download_http_code = 200`	HTTP 200
Age cutoff	FAIL	`download_stamp > now() - 6 MONTH`	9.5 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://medium.com/data-science/building-a-question-answering-system-part-1-9388aadff507
Last Crawled	2025-08-23 05:05:11 (9 months ago)
First Indexed	not set
HTTP Status Code	200
Content
Meta Title	Building a Question-Answering System from Scratch— Part 1 \| by Alvira Swalin \| TDS Archive \| Medium
Meta Description	As my Masters is coming to an end, I wanted to work on an interesting NLP project where I can use all the techniques(not exactly) I have learned at USF. With the help of my professors and discussions…
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	Alvira Swalin
Publish Time	2018-06-01 22:45:11 (8 years ago)
Original Publish Time	2018-06-01 22:45:11 (8 years ago)
Republished	No
Word Count (Total)	2,226
Word Count (Content)	1,574
Links
External Links	21
Internal Links	34
Technical SEO
Meta Nofollow	No
Meta Noarchive	Yes
JS Rendered	No
Redirect Target	null
Performance
Download Time (ms)	801
TTFB (ms)	800
Download Size (bytes)	43,812
Location
Host ID	77 (laksa077)
Partition ID	31
Root Hash	13179037029838926277
Unparsed URL	com,medium!/data-science/building-a-question-answering-system-part-1-9388aadff507 s443

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1. Shard Calculation

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2. Crawled Status Check

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4. Spam/Ban Check

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5. Seen Status Check

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