🕷️ Crawler Inspector

URL Lookup

Direct Parameter Lookup

Raw Queries and Responses

1. Shard Calculation

Query:

Response:

Calculated Shard: 29 (from laksa150)

2. Crawled Status Check

Query:

curl -X POST \
  'http://laksa029.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 = 35 AND (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://fastdatascience.com/natural-language-processing/natural-language-processing-expert/\')), getAhrefsUnparsedNoserviceFromURL(\'https://fastdatascience.com/natural-language-processing/natural-language-processing-expert/\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/fastdatascience.com\/natural-language-processing\/natural-language-processing-expert\/","crawl_time":1779968230,"first_indexed_time":1720420587,"http_code":200,"src_unparsed":"com,fastdatascience!\/natural-language-processing\/natural-language-processing-expert\/ s443","src_root_hash":"5796097362812707029","history_drop_reason":null,"meta_title":"Natural Language Processing Expert","meta_descriptions":["Natural Language Processing Expert Explains: If your company has a large number of unstructured documents such as CVs, inspection reports, health records, or otherwise, and you are struggling to extract value from them, you could be sitting on a gold mine of data and it might be time to call in a Natural Language Processing expert. Or maybe your organisation needs to build a chatbot, or analyse and triage emails? In any case our company of NLP experts Fast Data Science can help."],"meta_canonical":null,"ml_categories_json":"{\"\/Computers_and_Electronics\":729,\"\/Computers_and_Electronics\/Software\":651,\"\/Business_and_Industrial\":393,\"\/Business_and_Industrial\/Business_Services\":349,\"\/Business_and_Industrial\/Business_Services\/Consulting\":310,\"\/Computers_and_Electronics\/Software\/Software_Utilities\":297,\"\/Internet_and_Telecom\":108}","ml_types_json":"{\"\/Core_Page\":542,\"\/Core_Page\/Services_Page\":537}","ml_intent_types_json":"{\"Commercial\":918,\"Informational\":140}","meta_language":"en","attrs_author":"Thomas Wood","attrs_publish_time":1750975702,"attrs_original_publish_time":1720420587,"attrs_is_republished":1,"attrs_nr_words":"1286","attrs_boilerpipe_nr_words":"879","body_ext_links_number":35,"body_int_links_number":50,"meta_nofollow":0,"meta_noarchive":0,"props_was_rendered":0,"src_redirect":"","download_time_msec":776,"download_ttfb_msec":774,"download_size":17521}

3. Robots.txt Check

Query:

Response:

4. Spam/Ban Check

Query:

Response:

5. Seen Status Check

ℹ️ Skipped - page is already crawled

📍

LOCATION

Host 29 · Partition 35

laksa029

5796097362812707029

📄

INDEXABLE

✅

CRAWLED

6 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`	0.2 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://fastdatascience.com/natural-language-processing/natural-language-processing-expert/

Last Crawled

2026-05-28 11:37:10 (6 days ago)

First Indexed

2024-07-08 06:36:27 (1 year ago)

HTTP Status Code

200

Content

Meta Title

Natural Language Processing Expert

Meta Description

Natural Language Processing Expert Explains: If your company has a large number of unstructured documents such as CVs, inspection reports, health records, or otherwise, and you are struggling to extract value from them, you could be sitting on a gold mine of data and it might be time to call in a Natural Language Processing expert. Or maybe your organisation needs to build a chatbot, or analyse and triage emails? In any case our company of NLP experts Fast Data Science can help.

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		72.9%
/Computers_and_Electronics/Software		65.1%
/Business_and_Industrial		39.3%
/Business_and_Industrial/Business_Services		34.9%
/Business_and_Industrial/Business_Services/Consulting		31.0%
/Computers_and_Electronics/Software/Software_Utilities		29.7%
/Internet_and_Telecom		10.8%

Raw JSON

{
    "/Computers_and_Electronics": 729,
    "/Computers_and_Electronics/Software": 651,
    "/Business_and_Industrial": 393,
    "/Business_and_Industrial/Business_Services": 349,
    "/Business_and_Industrial/Business_Services/Consulting": 310,
    "/Computers_and_Electronics/Software/Software_Utilities": 297,
    "/Internet_and_Telecom": 108
}

ML Page Types

/Core_Page		54.2%
/Core_Page/Services_Page		53.7%

Raw JSON

{
    "/Core_Page": 542,
    "/Core_Page/Services_Page": 537
}

ML Intent Types

Commercial		91.8%
Informational		14.0%

Raw JSON

{
    "Commercial": 918,
    "Informational": 140
}

Content Metadata

Language

Author

Thomas Wood

Publish Time

2025-06-26 22:08:22 (11 months ago)

Original Publish Time

2024-07-08 06:36:27 (1 year ago)

Republished

Yes

Word Count (Total)

1,286

Word Count (Content)

879

Links

External Links

Internal Links

Technical SEO

Meta Nofollow

Meta Noarchive

JS Rendered

Redirect Target

null

Performance

Download Time (ms)

776

TTFB (ms)

774

Download Size (bytes)

17,521

Location

Host ID

29 (laksa029)

Partition ID

Root Hash

5796097362812707029

Unparsed URL

com,fastdatascience!/natural-language-processing/natural-language-processing-expert/ s443