🕷️ Crawler Inspector

URL Lookup

Direct Parameter Lookup

Raw Queries and Responses

1. Shard Calculation

Query:
Response:
Calculated Shard: 192 (from laksa096)

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 192 · Partition 34
laksa192
4110521881893246992
📄
INDEXABLE
CRAWLED
1 month ago
🤖
ROBOTS ALLOWED

Page Info Filters

FilterStatusConditionDetails
HTTP statusPASSdownload_http_code = 200HTTP 200
Age cutoffPASSdownload_stamp > now() - 6 MONTH1.3 months ago
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://vimeo.com/176459945
Last Crawled2026-04-24 14:42:45 (1 month ago)
First Indexed2016-07-27 17:26:38 (9 years ago)
HTTP Status Code200
Content
Meta TitleThe Shining Star of Losers Everywhere | Videos & Movies on Vimeo
Meta DescriptionIn 2003, Japan was plunged into economic darkness, and its people needed a ray of hope. They found one in Haru Urara, a racehorse with a pink Hello Kitty mask and a career-long losing streak. LINK TO PURCHASE OFFICIAL POSTER: https://www.artificialturfclub.com/store/p/the-shining-star-of-losers-everywhere-poster ESPN 30 for 30 short. Screenings at Sundance Film Festival, SXSW, Hot Docs, and more. WINNER - Best Short Documentary, Hot Docs 2016 Directed by: Mickey Duzyj Produced by: Mona Panchal Yuka Uchida (Japan) Edited by: Casimir Nozkowski Composed by: Terry Dame Executive Producers: Erik Rydholm Connor Schell Libby Geist John Dahl Director of Photography: Nobutaka Shirahama Original Art by: Mickey Duzyj Art Assistant: Kyle Stecker Animation by: Naoko Hara Sound design by: Greg Smith Featuring: Koji Hashiguchi Masashi Yoshida Dai Muneishi Ken Ishii
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
/Arts_and_Entertainment
90.0%
/Arts_and_Entertainment/Movies
87.2%
/Arts_and_Entertainment/Movies/Documentary_Films
84.8%
/People_and_Society
17.7%
/People_and_Society/Social_Issues_and_Advocacy
15.4%
Raw JSON
{
    "/Arts_and_Entertainment": 900,
    "/Arts_and_Entertainment/Movies": 872,
    "/Arts_and_Entertainment/Movies/Documentary_Films": 848,
    "/People_and_Society": 177,
    "/People_and_Society/Social_Issues_and_Advocacy": 154
}
ML Page Types
/Video
93.7%
/Video/Story
85.6%
Raw JSON
{
    "/Video": 937,
    "/Video/Story": 856
}
ML Intent Types
Informational
61.9%
Transactional
50.0%
Commercial
15.9%
Raw JSON
{
    "Informational": 619,
    "Transactional": 500,
    "Commercial": 159
}
Content Metadata
Languageen
Authornull
Publish Time2026-04-24 11:45:18 (1 month ago)
Original Publish Time2016-07-27 17:26:38 (9 years ago)
RepublishedYes
Word Count (Total)199
Word Count (Content)126
Links
External Links0
Internal Links16
Technical SEO
Meta NofollowNo
Meta NoarchiveNo
JS RenderedNo
Redirect Targetnull
Performance
Download Time (ms)321
TTFB (ms)207
Download Size (bytes)43,808
Location
Host ID192 (laksa192)
Partition ID34
Root Hash4110521881893246992
Unparsed URLcom,vimeo!/176459945 s443