🕷️ Crawler Inspector

URL Lookup

Direct Parameter Lookup

Raw Queries and Responses

1. Shard Calculation

Query:

Response:

Calculated Shard: 79 (from laksa167)

2. Crawled Status Check

Query:

curl -X POST \
  'http://laksa079.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 = 94 AND (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://www.simplilearn.com/exponential-smoothing-for-time-series-forecasting-in-python-article\')), getAhrefsUnparsedNoserviceFromURL(\'https://www.simplilearn.com/exponential-smoothing-for-time-series-forecasting-in-python-article\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/www.simplilearn.com\/exponential-smoothing-for-time-series-forecasting-in-python-article","crawl_time":1779808244,"first_indexed_time":1664804074,"http_code":200,"src_unparsed":"com,simplilearn!www,\/exponential-smoothing-for-time-series-forecasting-in-python-article s443","src_root_hash":"17406570482395038879","history_drop_reason":null,"meta_title":"An Introduction to Exponential Smoothing for Time Series Forecasting in Python | Simplilearn","meta_descriptions":["In this tutorial, you learned the introduction to exponential smoothing for time series forecasting in Python, its types, and how to implement the method."],"meta_canonical":null,"ml_categories_json":"{\"\/Computers_and_Electronics\":747,\"\/Computers_and_Electronics\/Programming\":446,\"\/Computers_and_Electronics\/Programming\/Scripting_Languages\":363,\"\/Science\":279,\"\/Science\/Computer_Science\":168,\"\/Science\/Computer_Science\/Machine_Learning_and_Artificial_Intelligence\":145}","ml_types_json":"{\"\/Article\":998,\"\/Article\/Tutorial_or_Guide\":995}","ml_intent_types_json":"{\"Informational\":999}","meta_language":"en","attrs_author":null,"attrs_publish_time":1664445979,"attrs_original_publish_time":1664445979,"attrs_is_republished":0,"attrs_nr_words":"2809","attrs_boilerpipe_nr_words":"1557","body_ext_links_number":15,"body_int_links_number":157,"meta_nofollow":0,"meta_noarchive":0,"props_was_rendered":1,"src_redirect":"","download_time_msec":328,"download_ttfb_msec":321,"download_size":97382}

3. Robots.txt Check

Query:

Response:

4. Spam/Ban Check

Query:

Response:

5. Seen Status Check

ℹ️ Skipped - page is already crawled

📍

LOCATION

Host 79 · Partition 94

laksa079

17406570482395038879

📄

INDEXABLE

✅

CRAWLED

7 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`	0.3 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.simplilearn.com/exponential-smoothing-for-time-series-forecasting-in-python-article

Last Crawled

2026-05-26 15:10:44 (7 days ago)

First Indexed

2022-10-03 13:34:34 (3 years ago)

HTTP Status Code

200

Content

Meta Title

An Introduction to Exponential Smoothing for Time Series Forecasting in Python | Simplilearn

Meta Description

In this tutorial, you learned the introduction to exponential smoothing for time series forecasting in Python, its types, and how to implement the method.

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		74.7%
/Computers_and_Electronics/Programming		44.6%
/Computers_and_Electronics/Programming/Scripting_Languages		36.3%
/Science		27.9%
/Science/Computer_Science		16.8%
/Science/Computer_Science/Machine_Learning_and_Artificial_Intelligence		14.5%

Raw JSON

{
    "/Computers_and_Electronics": 747,
    "/Computers_and_Electronics/Programming": 446,
    "/Computers_and_Electronics/Programming/Scripting_Languages": 363,
    "/Science": 279,
    "/Science/Computer_Science": 168,
    "/Science/Computer_Science/Machine_Learning_and_Artificial_Intelligence": 145
}

ML Page Types

/Article		99.8%
/Article/Tutorial_or_Guide		99.5%

Raw JSON

{
    "/Article": 998,
    "/Article/Tutorial_or_Guide": 995
}

ML Intent Types

Informational

99.9%

Raw JSON

{
    "Informational": 999
}

Content Metadata

Language

Author

null

Publish Time

2022-09-29 10:06:19 (3 years ago)

Original Publish Time

2022-09-29 10:06:19 (3 years ago)

Republished

Word Count (Total)

2,809

Word Count (Content)

1,557

Links

External Links

Internal Links

157

Technical SEO

Meta Nofollow

Meta Noarchive

JS Rendered

Yes

Redirect Target

null

Performance

Download Time (ms)

328

TTFB (ms)

321

Download Size (bytes)

97,382

Location

Host ID

79 (laksa079)

Partition ID

Root Hash

17406570482395038879

Unparsed URL

com,simplilearn!www,/exponential-smoothing-for-time-series-forecasting-in-python-article s443