🕷️ Crawler Inspector

URL Lookup

Direct Parameter Lookup

Raw Queries and Responses

1. Shard Calculation

Query:

Response:

Calculated Shard: 157 (from laksa186)

2. Crawled Status Check

Query:

curl -X POST \
  'http://laksa157.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 = 39 AND (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://www.v2think.com/using-tensorflowjs-to-build-a-prediction-model\')), getAhrefsUnparsedNoserviceFromURL(\'https://www.v2think.com/using-tensorflowjs-to-build-a-prediction-model\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/www.v2think.com\/using-tensorflowjs-to-build-a-prediction-model","crawl_time":1779326309,"first_indexed_time":1711904614,"http_code":200,"src_unparsed":"com,v2think!www,\/using-tensorflowjs-to-build-a-prediction-model s443","src_root_hash":"13581404896175327957","history_drop_reason":null,"meta_title":"学习 Tensorflow 的困境与解药 | 技术圆桌","meta_descriptions":["机器学习本质上是一门垂直的科学，但和编程存在交集这件事让我们有了“相声不就是说话嘛，所以我有嘴我也行”的错觉。所以在了解机器学习领域基本知识，而不是单刀直入编程才是学习 Tensorflow 的首要任务。"],"meta_canonical":null,"ml_categories_json":"{\"\/Computers_and_Electronics\":907,\"\/Computers_and_Electronics\/Programming\":572,\"\/Computers_and_Electronics\/Programming\/Scripting_Languages\":240,\"\/Science\":172,\"\/Science\/Computer_Science\":169,\"\/Science\/Computer_Science\/Machine_Learning_and_Artificial_Intelligence\":166}","ml_types_json":"{\"\/Article\":998,\"\/Article\/Tutorial_or_Guide\":929}","ml_intent_types_json":"{\"Informational\":999}","meta_language":"en","attrs_author":"光毅","attrs_publish_time":1711843200,"attrs_original_publish_time":1711843200,"attrs_is_republished":0,"attrs_nr_words":"362","attrs_boilerpipe_nr_words":"229","body_ext_links_number":23,"body_int_links_number":43,"meta_nofollow":0,"meta_noarchive":0,"props_was_rendered":0,"src_redirect":"","download_time_msec":817,"download_ttfb_msec":814,"download_size":38271}

3. Robots.txt Check

Query:

Response:

4. Spam/Ban Check

Query:

Response:

5. Seen Status Check

ℹ️ Skipped - page is already crawled

📍

LOCATION

Host 157 · Partition 39

laksa157

13581404896175327957

📄

INDEXABLE

✅

CRAWLED

13 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`	0.4 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.v2think.com/using-tensorflowjs-to-build-a-prediction-model

Last Crawled

2026-05-21 01:18:29 (13 days ago)

First Indexed

2024-03-31 17:03:34 (2 years ago)

HTTP Status Code

200

Content

Meta Title

学习 Tensorflow 的困境与解药 | 技术圆桌

Meta Description

机器学习本质上是一门垂直的科学，但和编程存在交集这件事让我们有了“相声不就是说话嘛，所以我有嘴我也行”的错觉。所以在了解机器学习领域基本知识，而不是单刀直入编程才是学习 Tensorflow 的首要任务。

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

/Computers_and_Electronics		90.7%
/Computers_and_Electronics/Programming		57.2%
/Computers_and_Electronics/Programming/Scripting_Languages		24.0%
/Science		17.2%
/Science/Computer_Science		16.9%
/Science/Computer_Science/Machine_Learning_and_Artificial_Intelligence		16.6%

Raw JSON

{
    "/Computers_and_Electronics": 907,
    "/Computers_and_Electronics/Programming": 572,
    "/Computers_and_Electronics/Programming/Scripting_Languages": 240,
    "/Science": 172,
    "/Science/Computer_Science": 169,
    "/Science/Computer_Science/Machine_Learning_and_Artificial_Intelligence": 166
}

ML Page Types

/Article		99.8%
/Article/Tutorial_or_Guide		92.9%

Raw JSON

{
    "/Article": 998,
    "/Article/Tutorial_or_Guide": 929
}

ML Intent Types

Informational

99.9%

Raw JSON

{
    "Informational": 999
}

Content Metadata

Language

Author

光毅

Publish Time

2024-03-31 00:00:00 (2 years ago)

Original Publish Time

2024-03-31 00:00:00 (2 years ago)

Republished

Word Count (Total)

362

Word Count (Content)

229

Links

External Links

Internal Links

Technical SEO

Meta Nofollow

Meta Noarchive

JS Rendered

Redirect Target

null

Performance

Download Time (ms)

817

TTFB (ms)

814

Download Size (bytes)

38,271

Location

Host ID

157 (laksa157)

Partition ID

Root Hash

13581404896175327957

Unparsed URL

com,v2think!www,/using-tensorflowjs-to-build-a-prediction-model s443