🕷️ Crawler Inspector

URL Lookup

Direct Parameter Lookup

Raw Queries and Responses

1. Shard Calculation

Query:

Response:

Calculated Shard: 104 (from laksa137)

2. Crawled Status Check

Query:

curl -X POST \
  'http://laksa104.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 = 71 AND (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://www.rdocumentation.org/packages/mgcv/versions/1.9-3/topics/ziP\')), getAhrefsUnparsedNoserviceFromURL(\'https://www.rdocumentation.org/packages/mgcv/versions/1.9-3/topics/ziP\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/www.rdocumentation.org\/packages\/mgcv\/versions\/1.9-3\/topics\/ziP","crawl_time":1779642231,"first_indexed_time":1744598825,"http_code":200,"src_unparsed":"org,rdocumentation!www,\/packages\/mgcv\/versions\/1.9-3\/topics\/ziP s443","src_root_hash":"2683427806285514304","history_drop_reason":null,"meta_title":"ziP function - RDocumentation","meta_descriptions":["<p>Family for use with <code>gam<\/code> or <code>bam<\/code>, implementing regression for zero inflated Poisson data when the complimentary log log of the zero probability is linearly dependent on the log of the Poisson parameter. Use with great care, noting that simply having many zero response observations is not an indication of zero inflation: the question is whether you have too many zeroes given the specified model.<\/p> <p>This sort of model is really only appropriate when none of your covariates help to explain the zeroes in your data. If your covariates predict which observations are likely to have zero mean then adding a zero inflated model on top of this is likely to lead to identifiability problems. Identifiability problems may lead to fit failures, or absurd values for the linear predictor or predicted values.<\/p>"],"meta_canonical":"org,rdocumentation!www,\/packages\/mgcv\/versions\/1.9-4\/topics\/ziP s443","ml_categories_json":"","ml_types_json":"","ml_intent_types_json":"","meta_language":"en","attrs_author":null,"attrs_publish_time":0,"attrs_original_publish_time":1744598825,"attrs_is_republished":0,"attrs_nr_words":"763","attrs_boilerpipe_nr_words":"295","body_ext_links_number":0,"body_int_links_number":1,"meta_nofollow":0,"meta_noarchive":0,"props_was_rendered":0,"src_redirect":"","download_time_msec":250,"download_ttfb_msec":172,"download_size":13523}

3. Robots.txt Check

Query:

Response:

4. Spam/Ban Check

Query:

Response:

5. Seen Status Check

ℹ️ Skipped - page is already crawled

📍

LOCATION

Host 104 · Partition 71

laksa104

2683427806285514304

🚫

NOT INDEXABLE

✅

CRAWLED

10 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	FAIL	`meta_canonical IS NULL OR = '' OR = src_unparsed`	org,rdocumentation!www,/packages/mgcv/versions/1.9-4/topics/ziP s443

Page Details

Property	Value
URL	https://www.rdocumentation.org/packages/mgcv/versions/1.9-3/topics/ziP
Last Crawled	2026-05-24 17:03:51 (10 days ago)
First Indexed	2025-04-14 02:47:05 (1 year ago)
HTTP Status Code	200
Content
Meta Title	ziP function - RDocumentation
Meta Description	<p>Family for use with <code>gam</code> or <code>bam</code>, implementing regression for zero inflated Poisson data when the complimentary log log of the zero probability is linearly dependent on the log of the Poisson parameter. Use with great care, noting that simply having many zero response observations is not an indication of zero inflation: the question is whether you have too many zeroes given the specified model.</p> <p>This sort of model is really only appropriate when none of your covariates help to explain the zeroes in your data. If your covariates predict which observations are likely to have zero mean then adding a zero inflated model on top of this is likely to lead to identifiability problems. Identifiability problems may lead to fit failures, or absurd values for the linear predictor or predicted values.</p>
Meta Canonical	org,rdocumentation!www,/packages/mgcv/versions/1.9-4/topics/ziP s443
Boilerpipe Text	heavy column, fetched on demand
Markdown	heavy column, fetched on demand
Readable Markdown	heavy column, fetched on demand
ML Classification
ML Categories	null
ML Page Types	null
ML Intent Types	null
Content Metadata
Language	en
Author	null
Publish Time	not set
Original Publish Time	2025-04-14 02:47:05 (1 year ago)
Republished	No
Word Count (Total)	763
Word Count (Content)	295
Links
External Links	0
Internal Links	1
Technical SEO
Meta Nofollow	No
Meta Noarchive	No
JS Rendered	No
Redirect Target	null
Performance
Download Time (ms)	250
TTFB (ms)	172
Download Size (bytes)	13,523
Location
Host ID	104 (laksa104)
Partition ID	71
Root Hash	2683427806285514304
Unparsed URL	org,rdocumentation!www,/packages/mgcv/versions/1.9-3/topics/ziP s443