Crawler Inspector

1. Shard Calculation

Query:

Response:

Calculated Shard: 129 (from laksa005)

2. Crawled Status Check

Query:

curl -X POST \
  'http://laksa129.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 = 82 AND (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://forecastegy.com/posts/catboost-binary-classification-python/\')), getAhrefsUnparsedNoserviceFromURL(\'https://forecastegy.com/posts/catboost-binary-classification-python/\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/forecastegy.com\/posts\/catboost-binary-classification-python\/","crawl_time":1780478842,"first_indexed_time":1694564006,"http_code":200,"src_unparsed":"com,forecastegy!\/posts\/catboost-binary-classification-python\/ s443","src_root_hash":"1095914986031676529","history_drop_reason":null,"meta_title":"How To Use CatBoost For Binary Classification In Python | Forecastegy","meta_descriptions":["Many people find the initial setup of CatBoost a bit daunting. Perhaps you’ve heard about its ability to work with categorical features without any preprocessing, but you’re feeling stuck on how to take the first step. In this step-by-step tutorial, I’m going to simplify things for you. After all, it’s just another gradient boosting library to have in your toolbox. We’ll walk you through the process of installing CatBoost, loading your data, and setting up a CatBoost classifier."],"meta_canonical":null,"ml_categories_json":"","ml_types_json":"","ml_intent_types_json":"","meta_language":"en","attrs_author":"Mario Filho","attrs_publish_time":1694476800,"attrs_original_publish_time":1694476800,"attrs_is_republished":0,"attrs_nr_words":"1542","attrs_boilerpipe_nr_words":"1399","body_ext_links_number":9,"body_int_links_number":12,"meta_nofollow":0,"meta_noarchive":0,"props_was_rendered":0,"src_redirect":"","download_time_msec":817,"download_ttfb_msec":438,"download_size":11512}

Filter	Status	Condition	Details
HTTP status	PASS	`download_http_code = 200`	HTTP 200
Age cutoff	PASS	`download_stamp > now() - 6 MONTH`	0 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://forecastegy.com/posts/catboost-binary-classification-python/
Last Crawled	2026-06-03 09:27:22 (8 hours ago)
First Indexed	2023-09-13 00:13:26 (2 years ago)
HTTP Status Code	200
Content
Meta Title	How To Use CatBoost For Binary Classification In Python \| Forecastegy
Meta Description	Many people find the initial setup of CatBoost a bit daunting. Perhaps you’ve heard about its ability to work with categorical features without any preprocessing, but you’re feeling stuck on how to take the first step. In this step-by-step tutorial, I’m going to simplify things for you. After all, it’s just another gradient boosting library to have in your toolbox. We’ll walk you through the process of installing CatBoost, loading your data, and setting up a CatBoost classifier.
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	Mario Filho
Publish Time	2023-09-12 00:00:00 (2 years ago)
Original Publish Time	2023-09-12 00:00:00 (2 years ago)
Republished	No
Word Count (Total)	1,542
Word Count (Content)	1,399
Links
External Links	9
Internal Links	12
Technical SEO
Meta Nofollow	No
Meta Noarchive	No
JS Rendered	No
Redirect Target	null
Performance
Download Time (ms)	817
TTFB (ms)	438
Download Size (bytes)	11,512
Location
Host ID	129 (laksa129)
Partition ID	82
Root Hash	1095914986031676529
Unparsed URL	com,forecastegy!/posts/catboost-binary-classification-python/ s443

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