Crawler Inspector

1. Shard Calculation

Query:

Response:

Calculated Shard: 192 (from laksa100)

2. Crawled Status Check

Query:

curl -X POST \
  'http://laksa192.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 = 50 AND (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://www.etripchina.com/train/shanghai-suzhou-nanjing-huangshan-hangzhou.htm\')), getAhrefsUnparsedNoserviceFromURL(\'https://www.etripchina.com/train/shanghai-suzhou-nanjing-huangshan-hangzhou.htm\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/www.etripchina.com\/train\/shanghai-suzhou-nanjing-huangshan-hangzhou.htm","crawl_time":1778755702,"first_indexed_time":1607592743,"http_code":200,"src_unparsed":"com,etripchina!www,\/train\/shanghai-suzhou-nanjing-huangshan-hangzhou.htm s443","src_root_hash":"4187565313228830192","history_drop_reason":null,"meta_title":"Train trip to Shanghai-Suzhou-Nanjing-Huangshan-Hangzhou","meta_descriptions":["Train trip to Shanghai, Suzhou, Nanjing, Huangshan, Hangzhou showcases you the modern Shanghai city and its neighborhoods – Suzhou, Nanjing, Huangshan and Hangzhou. The classic gardens and canals, beautiful West Lake and Yellow Mountain, unique water villages are great reward for a short 10 days trip"],"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":1607592743,"attrs_is_republished":0,"attrs_nr_words":"1879","attrs_boilerpipe_nr_words":"1283","body_ext_links_number":1,"body_int_links_number":86,"meta_nofollow":0,"meta_noarchive":0,"props_was_rendered":0,"src_redirect":"","download_time_msec":160,"download_ttfb_msec":159,"download_size":16351}

Filter	Status	Condition	Details
HTTP status	PASS	`download_http_code = 200`	HTTP 200
Age cutoff	PASS	`download_stamp > now() - 6 MONTH`	0.7 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.etripchina.com/train/shanghai-suzhou-nanjing-huangshan-hangzhou.htm
Last Crawled	2026-05-14 10:48:22 (20 days ago)
First Indexed	2020-12-10 09:32:23 (5 years ago)
HTTP Status Code	200
Content
Meta Title	Train trip to Shanghai-Suzhou-Nanjing-Huangshan-Hangzhou
Meta Description	Train trip to Shanghai, Suzhou, Nanjing, Huangshan, Hangzhou showcases you the modern Shanghai city and its neighborhoods – Suzhou, Nanjing, Huangshan and Hangzhou. The classic gardens and canals, beautiful West Lake and Yellow Mountain, unique water villages are great reward for a short 10 days trip
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	2020-12-10 09:32:23 (5 years ago)
Republished	No
Word Count (Total)	1,879
Word Count (Content)	1,283
Links
External Links	1
Internal Links	86
Technical SEO
Meta Nofollow	No
Meta Noarchive	No
JS Rendered	No
Redirect Target	null
Performance
Download Time (ms)	160
TTFB (ms)	159
Download Size (bytes)	16,351
Location
Host ID	192 (laksa192)
Partition ID	50
Root Hash	4187565313228830192
Unparsed URL	com,etripchina!www,/train/shanghai-suzhou-nanjing-huangshan-hangzhou.htm s443

🕷️ Crawler Inspector

URL Lookup

Direct Parameter Lookup

1. Shard Calculation

Query:

Response:

2. Crawled Status Check

Query:

Response:

3. Robots.txt Check

Query:

Response:

4. Spam/Ban Check

Query:

Response:

5. Seen Status Check

Page Info Filters

Page Details