🕷️ Crawler Inspector

URL Lookup

Direct Parameter Lookup

Raw Queries and Responses

1. Shard Calculation

Query:

Response:

Calculated Shard: 102 (from laksa136)

2. Crawled Status Check

Query:

curl -X POST \
  'http://laksa102.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 = 46 AND (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://www.tandfonline.com/doi/full/10.1080/08839514.2024.2358661\')), getAhrefsUnparsedNoserviceFromURL(\'https://www.tandfonline.com/doi/full/10.1080/08839514.2024.2358661\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/08839514.2024.2358661","crawl_time":1767892177,"first_indexed_time":1723613103,"http_code":200,"src_unparsed":"com,tandfonline!www,\/doi\/full\/10.1080\/08839514.2024.2358661 s443","src_root_hash":"17870084574864829302","history_drop_reason":null,"meta_title":"Full article: Performance Evaluation of Hybrid Machine Learning Algorithms for Online Lending Credit Risk Prediction","meta_descriptions":["Peer-to-peer (P2P) lending was developed in 2005 and rapidly gained popularity across the globe as a result of the rapid development of financial technologies. It revolutionized lending by allowing..."],"meta_canonical":null,"ml_categories_json":"{\"\/Finance\":733,\"\/Finance\/Credit_and_Lending\":699,\"\/Finance\/Credit_and_Lending\/Loans\":683,\"\/Computers_and_Electronics\":384,\"\/Computers_and_Electronics\/Software\":365,\"\/Science\":337,\"\/Science\/Computer_Science\":322,\"\/Science\/Computer_Science\/Machine_Learning_and_Artificial_Intelligence\":313,\"\/Computers_and_Electronics\/Software\/Business_and_Productivity_Software\":105}","ml_types_json":"{\"\/Article\":993,\"\/Article\/Study_or_Research_Findings\":984}","ml_intent_types_json":"{\"Informational\":999}","meta_language":"en","attrs_author":null,"attrs_publish_time":0,"attrs_original_publish_time":1723613103,"attrs_is_republished":0,"attrs_nr_words":"11555","attrs_boilerpipe_nr_words":"7504","body_ext_links_number":45,"body_int_links_number":213,"meta_nofollow":0,"meta_noarchive":1,"props_was_rendered":1,"src_redirect":"","download_time_msec":600,"download_ttfb_msec":221,"download_size":64509}

3. Robots.txt Check

Query:

Response:

4. Spam/Ban Check

Query:

Response:

5. Seen Status Check

ℹ️ Skipped - page is already crawled

📍

LOCATION

Host 102 · Partition 46

laksa102

17870084574864829302

📄

INDEXABLE

✅

CRAWLED

4 months 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`	4.9 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://www.tandfonline.com/doi/full/10.1080/08839514.2024.2358661

Last Crawled

2026-01-08 17:09:37 (4 months ago)

First Indexed

2024-08-14 05:25:03 (1 year ago)

HTTP Status Code

200

Content

Meta Title

Full article: Performance Evaluation of Hybrid Machine Learning Algorithms for Online Lending Credit Risk Prediction

Meta Description

Peer-to-peer (P2P) lending was developed in 2005 and rapidly gained popularity across the globe as a result of the rapid development of financial technologies. It revolutionized lending by allowing...

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

/Finance		73.3%
/Finance/Credit_and_Lending		69.9%
/Finance/Credit_and_Lending/Loans		68.3%
/Computers_and_Electronics		38.4%
/Computers_and_Electronics/Software		36.5%
/Science		33.7%
/Science/Computer_Science		32.2%
/Science/Computer_Science/Machine_Learning_and_Artificial_Intelligence		31.3%
/Computers_and_Electronics/Software/Business_and_Productivity_Software		10.5%

Raw JSON

{
    "/Finance": 733,
    "/Finance/Credit_and_Lending": 699,
    "/Finance/Credit_and_Lending/Loans": 683,
    "/Computers_and_Electronics": 384,
    "/Computers_and_Electronics/Software": 365,
    "/Science": 337,
    "/Science/Computer_Science": 322,
    "/Science/Computer_Science/Machine_Learning_and_Artificial_Intelligence": 313,
    "/Computers_and_Electronics/Software/Business_and_Productivity_Software": 105
}

ML Page Types

/Article		99.3%
/Article/Study_or_Research_Findings		98.4%

Raw JSON

{
    "/Article": 993,
    "/Article/Study_or_Research_Findings": 984
}

ML Intent Types

Informational

99.9%

Raw JSON

{
    "Informational": 999
}

Content Metadata

Language

Author

null

Publish Time

not set

Original Publish Time

2024-08-14 05:25:03 (1 year ago)

Republished

Word Count (Total)

11,555

Word Count (Content)

7,504

Links

External Links

Internal Links

213

Technical SEO

Meta Nofollow

Meta Noarchive

Yes

JS Rendered

Yes

Redirect Target

null

Performance

Download Time (ms)

600

TTFB (ms)

221

Download Size (bytes)

64,509

Location

Host ID

102 (laksa102)

Partition ID

Root Hash

17870084574864829302

Unparsed URL

com,tandfonline!www,/doi/full/10.1080/08839514.2024.2358661 s443