🕷️ Crawler Inspector

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Raw Queries and Responses

1. Shard Calculation

Query:
Response:
Calculated Shard: 174 (from laksa132)

2. Crawled Status Check

Query:
Response:

3. Robots.txt Check

Query:
Response:

4. Spam/Ban Check

Query:
Response:

5. Seen Status Check

ℹ️ Skipped - page is already crawled

📍
LOCATION
Host 174 · Partition 28
laksa174
6325672905007345774
📄
INDEXABLE
CRAWLED
2 months ago
🤖
ROBOTS ALLOWED

Page Info Filters

FilterStatusConditionDetails
HTTP statusPASSdownload_http_code = 200HTTP 200
Age cutoffPASSdownload_stamp > now() - 6 MONTH2.1 months ago (distributed domain, exempt)
History dropPASSisNull(history_drop_reason)No drop reason
Spam/banPASSfh_dont_index != 1 AND ml_spam_score = 0ml_spam_score=0
CanonicalPASSmeta_canonical IS NULL OR = '' OR = src_unparsedNot set

Page Details

PropertyValue
URLhttps://github.com/zhengjingwei/machine-learning-interview
Last Crawled2026-03-31 05:22:02 (2 months ago)
First Indexed2021-09-29 18:50:59 (4 years ago)
HTTP Status Code200
Content
Meta TitleGitHub - zhengjingwei/machine-learning-interview: 算法工程师-机器学习面试题总结 · GitHub
Meta Description算法工程师-机器学习面试题总结. Contribute to zhengjingwei/machine-learning-interview development by creating an account on GitHub.
Meta Canonicalnull
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
55.0%
/Science
42.4%
/Computers_and_Electronics/Software
41.6%
/Computers_and_Electronics/Software/Educational_Software
35.9%
/Science/Computer_Science
34.6%
/Science/Computer_Science/Machine_Learning_and_Artificial_Intelligence
34.4%
/Jobs_and_Education
22.6%
/Jobs_and_Education/Education
22.4%
/Jobs_and_Education/Education/Computer_Education
16.6%
Raw JSON
{
    "/Computers_and_Electronics": 550,
    "/Science": 424,
    "/Computers_and_Electronics/Software": 416,
    "/Computers_and_Electronics/Software/Educational_Software": 359,
    "/Science/Computer_Science": 346,
    "/Science/Computer_Science/Machine_Learning_and_Artificial_Intelligence": 344,
    "/Jobs_and_Education": 226,
    "/Jobs_and_Education/Education": 224,
    "/Jobs_and_Education/Education/Computer_Education": 166
}
ML Page Types
/Article
78.7%
/Article/Tutorial_or_Guide
70.5%
Raw JSON
{
    "/Article": 787,
    "/Article/Tutorial_or_Guide": 705
}
ML Intent Types
Informational
99.8%
Raw JSON
{
    "Informational": 998
}
Content Metadata
Languageen
Authornull
Publish Timenot set
Original Publish Time2021-09-29 18:50:59 (4 years ago)
RepublishedNo
Word Count (Total)5,636
Word Count (Content)5,109
Links
External Links65
Internal Links108
Technical SEO
Meta NofollowNo
Meta NoarchiveNo
JS RenderedYes
Redirect Targetnull
Performance
Download Time (ms)1,025
TTFB (ms)926
Download Size (bytes)215,182
Location
Host ID174 (laksa174)
Partition ID28
Root Hash6325672905007345774
Unparsed URLcom,github!/zhengjingwei/machine-learning-interview s443