🕷️ Crawler Inspector

URL Lookup

Direct Parameter Lookup

Raw Queries and Responses

1. Shard Calculation

Query:

Response:

Calculated Shard: 103 (from laksa139)

2. Crawled Status Check

Query:

curl -X POST \
  'http://laksa103.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 = 84 AND (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://www.geeksforgeeks.org/machine-learning/exponential-smoothing-forecast-formula/\')), getAhrefsUnparsedNoserviceFromURL(\'https://www.geeksforgeeks.org/machine-learning/exponential-smoothing-forecast-formula/\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/www.geeksforgeeks.org\/machine-learning\/exponential-smoothing-forecast-formula\/","crawl_time":1780211761,"first_indexed_time":1749878948,"http_code":200,"src_unparsed":"org,geeksforgeeks!www,\/machine-learning\/exponential-smoothing-forecast-formula\/ s443","src_root_hash":"12046344915360636903","history_drop_reason":null,"meta_title":"Exponential Smoothing Forecast Formula - GeeksforGeeks","meta_descriptions":["Your All-in-One Learning Portal: GeeksforGeeks is a comprehensive educational platform that empowers learners across domains-spanning computer science and programming, school education, upskilling, commerce, software tools, competitive exams, and more.","Your All-in-One Learning Portal. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice\/competitive programming\/company interview Questions."],"meta_canonical":null,"ml_categories_json":"{\"\/Finance\":433,\"\/Finance\/Financial_Planning_and_Management\":264,\"\/Science\":232,\"\/Computers_and_Electronics\":231,\"\/Computers_and_Electronics\/Software\":216,\"\/Finance\/Financial_Planning_and_Management\/Asset_and_Portfolio_Management\":183,\"\/Computers_and_Electronics\/Software\/Business_and_Productivity_Software\":132,\"\/Science\/Mathematics\":115,\"\/Science\/Mathematics\/Statistics\":114}","ml_types_json":"{\"\/Article\":999,\"\/Article\/Tutorial_or_Guide\":869}","ml_intent_types_json":"{\"Informational\":999}","meta_language":"en","attrs_author":"Sandeep Jain","attrs_publish_time":1716902457,"attrs_original_publish_time":1716902457,"attrs_is_republished":0,"attrs_nr_words":"2146","attrs_boilerpipe_nr_words":"1463","body_ext_links_number":7,"body_int_links_number":111,"meta_nofollow":0,"meta_noarchive":0,"props_was_rendered":1,"src_redirect":"","download_time_msec":466,"download_ttfb_msec":338,"download_size":42566}

3. Robots.txt Check

Query:

Response:

4. Spam/Ban Check

Query:

Response:

5. Seen Status Check

ℹ️ Skipped - page is already crawled

📍

LOCATION

Host 103 · Partition 84

laksa103

12046344915360636903

📄

INDEXABLE

✅

CRAWLED

3 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`	0.1 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.geeksforgeeks.org/machine-learning/exponential-smoothing-forecast-formula/

Last Crawled

2026-05-31 07:16:01 (3 days ago)

First Indexed

2025-06-14 05:29:08 (11 months ago)

HTTP Status Code

200

Content

Meta Title

Exponential Smoothing Forecast Formula - GeeksforGeeks

Meta Description

Your All-in-One Learning Portal: GeeksforGeeks is a comprehensive educational platform that empowers learners across domains-spanning computer science and programming, school education, upskilling, commerce, software tools, competitive exams, and more., Your All-in-One Learning Portal. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions.

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		43.3%
/Finance/Financial_Planning_and_Management		26.4%
/Science		23.2%
/Computers_and_Electronics		23.1%
/Computers_and_Electronics/Software		21.6%
/Finance/Financial_Planning_and_Management/Asset_and_Portfolio_Management		18.3%
/Computers_and_Electronics/Software/Business_and_Productivity_Software		13.2%
/Science/Mathematics		11.5%
/Science/Mathematics/Statistics		11.4%

Raw JSON

{
    "/Finance": 433,
    "/Finance/Financial_Planning_and_Management": 264,
    "/Science": 232,
    "/Computers_and_Electronics": 231,
    "/Computers_and_Electronics/Software": 216,
    "/Finance/Financial_Planning_and_Management/Asset_and_Portfolio_Management": 183,
    "/Computers_and_Electronics/Software/Business_and_Productivity_Software": 132,
    "/Science/Mathematics": 115,
    "/Science/Mathematics/Statistics": 114
}

ML Page Types

/Article		99.9%
/Article/Tutorial_or_Guide		86.9%

Raw JSON

{
    "/Article": 999,
    "/Article/Tutorial_or_Guide": 869
}

ML Intent Types

Informational

99.9%

Raw JSON

{
    "Informational": 999
}

Content Metadata

Language

Author

Sandeep Jain

Publish Time

2024-05-28 13:20:57 (2 years ago)

Original Publish Time

2024-05-28 13:20:57 (2 years ago)

Republished

Word Count (Total)

2,146

Word Count (Content)

1,463

Links

External Links

Internal Links

111

Technical SEO

Meta Nofollow

Meta Noarchive

JS Rendered

Yes

Redirect Target

null

Performance

Download Time (ms)

466

TTFB (ms)

338

Download Size (bytes)

42,566

Location

Host ID

103 (laksa103)

Partition ID

Root Hash

12046344915360636903

Unparsed URL

org,geeksforgeeks!www,/machine-learning/exponential-smoothing-forecast-formula/ s443