Crawler Inspector

1. Shard Calculation

Query:

Response:

Calculated Shard: 95 (from laksa099)

2. Crawled Status Check

Query:

curl -X POST \
  'http://laksa095.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 = 34 AND (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://codelabs.developers.google.com/intro-a2a-purchasing-concierge\')), getAhrefsUnparsedNoserviceFromURL(\'https://codelabs.developers.google.com/intro-a2a-purchasing-concierge\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/codelabs.developers.google.com\/intro-a2a-purchasing-concierge","crawl_time":1772128377,"first_indexed_time":0,"http_code":200,"src_unparsed":"com,google!developers,codelabs,\/intro-a2a-purchasing-concierge s443","src_root_hash":"744624608793826895","history_drop_reason":null,"meta_title":"Getting Started with Agent2Agent (A2A) Protocol: A Purchasing Concierge and Remote Seller Agent Interactions on Cloud Run and Agent Engine | Google Codelabs","meta_descriptions":["In this codelab you will deploy several agent services using cloud run and agent engine,then inspect how we implement A2A protocol to standardize communications between them. You will learn the core concepts and components of A2A and inspect the interactions by deploying the agents powered by different agentic framework with Gemini backend as different services on top of Cloud Run and Agent Engine"],"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":0,"attrs_is_republished":0,"attrs_nr_words":"7160","attrs_boilerpipe_nr_words":"6443","body_ext_links_number":21,"body_int_links_number":57,"meta_nofollow":0,"meta_noarchive":0,"props_was_rendered":1,"src_redirect":"","download_time_msec":1375,"download_ttfb_msec":1364,"download_size":40753}

Filter	Status	Condition	Details
HTTP status	PASS	`download_http_code = 200`	HTTP 200
Age cutoff	PASS	`download_stamp > now() - 6 MONTH`	3.2 months ago (distributed domain, exempt)
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://codelabs.developers.google.com/intro-a2a-purchasing-concierge
Last Crawled	2026-02-26 17:52:57 (3 months ago)
First Indexed	not set
HTTP Status Code	200
Content
Meta Title	Getting Started with Agent2Agent (A2A) Protocol: A Purchasing Concierge and Remote Seller Agent Interactions on Cloud Run and Agent Engine \| Google Codelabs
Meta Description	In this codelab you will deploy several agent services using cloud run and agent engine,then inspect how we implement A2A protocol to standardize communications between them. You will learn the core concepts and components of A2A and inspect the interactions by deploying the agents powered by different agentic framework with Gemini backend as different services on top of Cloud Run and Agent Engine
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	not set
Republished	No
Word Count (Total)	7,160
Word Count (Content)	6,443
Links
External Links	21
Internal Links	57
Technical SEO
Meta Nofollow	No
Meta Noarchive	No
JS Rendered	Yes
Redirect Target	null
Performance
Download Time (ms)	1,375
TTFB (ms)	1,364
Download Size (bytes)	40,753
Location
Host ID	95 (laksa095)
Partition ID	34
Root Hash	744624608793826895
Unparsed URL	com,google!developers,codelabs,/intro-a2a-purchasing-concierge s443

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