🕷️ Crawler Inspector

URL Lookup

Direct Parameter Lookup

Raw Queries and Responses

1. Shard Calculation

Query:

Response:

Calculated Shard: 30 (from laksa186)

2. Crawled Status Check

Query:

curl -X POST \
  'http://laksa030.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 = 14 AND (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://blog.opensurvey.co.kr/article/covid-19-3/\')), getAhrefsUnparsedNoserviceFromURL(\'https://blog.opensurvey.co.kr/article/covid-19-3/\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/blog.opensurvey.co.kr\/article\/covid-19-3\/","crawl_time":1779854782,"first_indexed_time":1587906602,"http_code":200,"src_unparsed":"kr,co,opensurvey!blog,\/article\/covid-19-3\/ s443","src_root_hash":"9164353646922282830","history_drop_reason":null,"meta_title":"코로나 경험이 이후 소비자 트렌드에 미칠 영향 - 오픈서베이 블로그","meta_descriptions":["코로나19로 인한 변화에 주목해야 하는 이유는 지금 소비자의 경험이 코로나19 안정화 이후 선택을 결정할 것이기 때문입니다. 그럼 코로나에 대한 경험은 이후 소비자 트렌드에 어떤 영향을 미칠까요? 세분화, 동네상권, 집밥의 재발견, 프리미엄 밀키트 등 키워드를 통해 알아봅니다."],"meta_canonical":null,"ml_categories_json":"{\"\/Shopping\":661,\"\/Business_and_Industrial\":475,\"\/Business_and_Industrial\/Retail_Trade\":456,\"\/Shopping\/Mass_Merchants_and_Department_Stores\":333}","ml_types_json":"{\"\/Article\":998,\"\/Article\/Study_or_Research_Findings\":586}","ml_intent_types_json":"{\"Informational\":999}","meta_language":"ko-kr","attrs_author":null,"attrs_publish_time":1587903129,"attrs_original_publish_time":1587903129,"attrs_is_republished":0,"attrs_nr_words":"1481","attrs_boilerpipe_nr_words":"1029","body_ext_links_number":36,"body_int_links_number":25,"meta_nofollow":0,"meta_noarchive":0,"props_was_rendered":1,"src_redirect":"","download_time_msec":33,"download_ttfb_msec":26,"download_size":24388}

3. Robots.txt Check

Query:

Response:

4. Spam/Ban Check

Query:

Response:

5. Seen Status Check

ℹ️ Skipped - page is already crawled

📍

LOCATION

Host 30 · Partition 14

laksa030

9164353646922282830

📄

INDEXABLE

✅

CRAWLED

7 days ago

🤖

ROBOTS ALLOWED

Page Info Filters

Filter	Status	Condition	Details
HTTP status	PASS	`download_http_code = 200`	HTTP 200
Age cutoff	PASS	`download_stamp > now() - 6 MONTH`	0.2 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

Page Details

Property

Value

URL

https://blog.opensurvey.co.kr/article/covid-19-3/

Last Crawled

2026-05-27 04:06:22 (7 days ago)

First Indexed

2020-04-26 13:10:02 (6 years ago)

HTTP Status Code

200

Content

Meta Title

코로나 경험이 이후 소비자 트렌드에 미칠 영향 - 오픈서베이 블로그

Meta Description

코로나19로 인한 변화에 주목해야 하는 이유는 지금 소비자의 경험이 코로나19 안정화 이후 선택을 결정할 것이기 때문입니다. 그럼 코로나에 대한 경험은 이후 소비자 트렌드에 어떤 영향을 미칠까요? 세분화, 동네상권, 집밥의 재발견, 프리미엄 밀키트 등 키워드를 통해 알아봅니다.

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

/Shopping		66.1%
/Business_and_Industrial		47.5%
/Business_and_Industrial/Retail_Trade		45.6%
/Shopping/Mass_Merchants_and_Department_Stores		33.3%

Raw JSON

{
    "/Shopping": 661,
    "/Business_and_Industrial": 475,
    "/Business_and_Industrial/Retail_Trade": 456,
    "/Shopping/Mass_Merchants_and_Department_Stores": 333
}

ML Page Types

/Article		99.8%
/Article/Study_or_Research_Findings		58.6%

Raw JSON

{
    "/Article": 998,
    "/Article/Study_or_Research_Findings": 586
}

ML Intent Types

Informational

99.9%

Raw JSON

{
    "Informational": 999
}

Content Metadata

Language

ko-kr

Author

null

Publish Time

2020-04-26 12:12:09 (6 years ago)

Original Publish Time

2020-04-26 12:12:09 (6 years ago)

Republished

Word Count (Total)

1,481

Word Count (Content)

1,029

Links

External Links

Internal Links

Technical SEO

Meta Nofollow

Meta Noarchive

JS Rendered

Yes

Redirect Target

null

Performance

Download Time (ms)

TTFB (ms)

Download Size (bytes)

24,388

Location

Host ID

30 (laksa030)

Partition ID

Root Hash

9164353646922282830

Unparsed URL

kr,co,opensurvey!blog,/article/covid-19-3/ s443