🕷️ Crawler Inspector

URL Lookup

Direct Parameter Lookup

Raw Queries and Responses

1. Shard Calculation

Query:
Response:
Calculated Shard: 155 (from laksa087)

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 155 · Partition 94
laksa155
4238999126184938955
📄
INDEXABLE
CRAWLED
29 days ago
🤖
ROBOTS ALLOWED

Page Info Filters

FilterStatusConditionDetails
HTTP statusPASSdownload_http_code = 200HTTP 200
Age cutoffPASSdownload_stamp > now() - 6 MONTH1 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://hotels.cloudbeds.com/reservation/bRbY8o
Last Crawled2026-05-05 03:48:42 (29 days ago)
First Indexed2025-10-01 01:17:22 (8 months ago)
HTTP Status Code200
Content
Meta TitleTrain Pod @ one-north - Singapore, Singapore - Best Price Guarantee
Meta DescriptionTrain Pod @ one-north is a unique boutique hotel concept by Tiny Pod, featuring a repurposed decommissioned MRT train transformed into a compact co-living space. Located in one-north, Singapore's innovation and technology hub, this property caters to business travelers, urban explorers, and digital nomads looking for an affordable yet unconventional stay. Each 7sqm (75sqft) room is inspired by sleeper train berths and designed for maximum comfort and efficiency. Despite the compact size, every room includes an ensuite bathroom, air-conditioning, Wi-Fi, smart TV, and cozy bedding, with Murphy style bunk beds that fold away to create extra space when needed. Perfect for urban explorers, solo travelers, and budget-conscious guests. For long term stays or event packages, email us at hello@tinypod.com.
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
/Travel_and_Transportation
99.7%
/Travel_and_Transportation/Hotels_and_Accommodations
99.6%
Raw JSON
{
    "/Travel_and_Transportation": 997,
    "/Travel_and_Transportation/Hotels_and_Accommodations": 996
}
ML Page Types
/Listing
62.4%
/Listing/Property
61.7%
Raw JSON
{
    "/Listing": 624,
    "/Listing/Property": 617
}
ML Intent Types
Transactional
58.6%
Commercial
58.5%
Raw JSON
{
    "Transactional": 586,
    "Commercial": 585
}
Content Metadata
Languageen
Authornull
Publish Timenot set
Original Publish Time2025-10-01 01:17:22 (8 months ago)
RepublishedNo
Word Count (Total)486
Word Count (Content)465
Links
External Links0
Internal Links0
Technical SEO
Meta NofollowNo
Meta NoarchiveNo
JS RenderedYes
Redirect Targetnull
Performance
Download Time (ms)431
TTFB (ms)431
Download Size (bytes)6,661
Location
Host ID155 (laksa155)
Partition ID94
Root Hash4238999126184938955
Unparsed URLcom,cloudbeds!hotels,/reservation/bRbY8o s443