🕷️ Crawler Inspector

URL Lookup

Direct Parameter Lookup

Raw Queries and Responses

1. Shard Calculation

Query:

Response:

Calculated Shard: 151 (from laksa033)

2. Crawled Status Check

Query:

curl -X POST \
  'http://laksa151.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, attrs_boilerpipe_text AS attrs_boilerpipe_text, attrs_markdown AS attrs_markdown, attrs_readable_markdown AS attrs_readable_markdown, 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 (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://sites.stat.columbia.edu/gelman/book/\')), getAhrefsUnparsedNoserviceFromURL(\'https://sites.stat.columbia.edu/gelman/book/\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/sites.stat.columbia.edu\/gelman\/book\/","crawl_time":1775499145,"first_indexed_time":1742840197,"http_code":200,"src_unparsed":"edu,columbia!stat,sites,\/gelman\/book\/ s443","src_root_hash":"8649014416106944551","history_drop_reason":null,"meta_title":"Home page for the book, \"Bayesian Data Analysis\"","meta_descriptions":[],"attrs_boilerpipe_text":"\n\nThis is the home page for the book,  Bayesian Data Analysis , by Andrew Gelman, John Carlin, Hal Stern, David Dunson, Aki Vehtari, and Donald Rubin.\n\n Here is the book in pdf form , available for download for non-commercial purposes.\n\n Teaching Bayesian data analysis Code for some of the examples in the book Software Other \n\nBack to  Andrew Gelman's homepage .\n\n","attrs_markdown":"This is the home page for the book, [Bayesian Data Analysis](https:\/\/sites.stat.columbia.edu\/gelman\/book\/BDA3.pdf), by Andrew Gelman, John Carlin, Hal Stern, David Dunson, Aki Vehtari, and Donald Rubin.\n\n[![](https:\/\/sites.stat.columbia.edu\/gelman\/book\/bda_cover.png)](https:\/\/sites.stat.columbia.edu\/gelman\/book\/BDA3.pdf)\n\n[Here is the book in pdf form](https:\/\/sites.stat.columbia.edu\/gelman\/book\/BDA3.pdf), available for download for non-commercial purposes.\n\n### Teaching Bayesian data analysis\n- [Aki Vehtari's course material](https:\/\/github.com\/avehtari\/BDA_course_Aalto), including video lectures, slides, and his notes for most of the chapters.\n- [77 best lines from my course](https:\/\/sites.stat.columbia.edu\/gelman\/book\/gelman_quotes.pdf)\n- [A student's lecture notes](https:\/\/sites.stat.columbia.edu\/gelman\/book\/220lecturenotes.pdf)\n- [An article on teaching Bayesian applied statistics to students in social science and public health](http:\/\/www.stat.columbia.edu\/~gelman\/research\/published\/teachingbayes.pdf)\n- [An article with some class-participation demonstrations for decision theory and Bayesian statistics](http:\/\/www.stat.columbia.edu\/~gelman\/research\/published\/bayesdemos.pdf)\n- [Our research blog](https:\/\/statmodeling.stat.columbia.edu\/) (useful for discussion topics)\n### Code for some of the examples in the book\n- [BDA3 R demos](https:\/\/github.com\/avehtari\/BDA_R_demos) from Aki\n- [BDA3 Python demos](https:\/\/github.com\/avehtari\/BDA_py_demos) from Aki\n- [BDA3 Matlab\/Octave demos](https:\/\/github.com\/avehtari\/BDA_m_demos) from Aki\n### Software\n- [Stan](http:\/\/mc-stan.org\/) (for posterior simulations)\n- [GPStuff](http:\/\/mloss.org\/software\/view\/451\/) (for fitting Gaussian processes; we used it to fit the birthday data shown on the book cover)\n- [Appendix C from the third edition of Bayesian Data Analysis](https:\/\/sites.stat.columbia.edu\/gelman\/book\/software.pdf). This appendix has an extended example of the use of Stan and R.\n### Other\n- [Datasets](https:\/\/sites.stat.columbia.edu\/gelman\/book\/data\/) for most of the examples from the book\n- Solutions to some of the exercises in the [third](https:\/\/sites.stat.columbia.edu\/gelman\/book\/solutions3.pdf), [second](https:\/\/sites.stat.columbia.edu\/gelman\/book\/solutions2.pdf), and [first](https:\/\/sites.stat.columbia.edu\/gelman\/book\/solutions.pdf) editions.\n- Reviews from [prepublication](https:\/\/sites.stat.columbia.edu\/gelman\/book\/blurbs1.txt), [first edition](https:\/\/sites.stat.columbia.edu\/gelman\/book\/blurbs2.txt), and [second edition](https:\/\/sites.stat.columbia.edu\/gelman\/book\/blurbs3.txt).\n- [Table of contents](https:\/\/sites.stat.columbia.edu\/gelman\/book\/contents3.pdf) and [index](https:\/\/sites.stat.columbia.edu\/gelman\/book\/subjindex3.pdf).\n- Errata for [third edition of the book](https:\/\/sites.stat.columbia.edu\/gelman\/book\/errata_bda3.txt). Also errata for the [second edition](https:\/\/sites.stat.columbia.edu\/gelman\/book\/errata2.1.txt) and for the [first](https:\/\/sites.stat.columbia.edu\/gelman\/book\/errata1.txt), [second](https:\/\/sites.stat.columbia.edu\/gelman\/book\/errata2.txt), [third](https:\/\/sites.stat.columbia.edu\/gelman\/book\/errata3.txt), [fourth](https:\/\/sites.stat.columbia.edu\/gelman\/book\/errata4.txt), [fifth](https:\/\/sites.stat.columbia.edu\/gelman\/book\/errata5.txt), and [sixth](https:\/\/sites.stat.columbia.edu\/gelman\/book\/errata5.txt) printings of the first edition.\n\nBack to [Andrew Gelman's homepage](https:\/\/sites.stat.columbia.edu\/gelman\/).","attrs_readable_markdown":null,"meta_canonical":null,"ml_categories_json":"{\"\/Science\":613,\"\/Jobs_and_Education\":326,\"\/Jobs_and_Education\/Education\":324,\"\/Science\/Mathematics\":309,\"\/Science\/Mathematics\/Statistics\":296,\"\/Books_and_Literature\":151,\"\/Jobs_and_Education\/Education\/Colleges_and_Universities\":106}","ml_types_json":"{\"\/Document\":382,\"\/Document\/Ebook\":357}","ml_intent_types_json":"{\"Informational\":884,\"Navigational\":228}","meta_language":null,"attrs_author":null,"attrs_publish_time":0,"attrs_original_publish_time":1742840197,"attrs_is_republished":0,"attrs_nr_words":"266","attrs_boilerpipe_nr_words":"61","body_ext_links_number":9,"body_int_links_number":24,"meta_nofollow":0,"meta_noarchive":0,"props_was_rendered":0,"src_redirect":"","download_time_msec":38,"download_ttfb_msec":38,"download_size":3232}

3. Robots.txt Check

Query:

Response:

4. Spam/Ban Check

Query:

Response:

5. Seen Status Check

ℹ️ Skipped - page is already crawled

📄

INDEXABLE

✅

CRAWLED

17 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`	0.6 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://sites.stat.columbia.edu/gelman/book/

Last Crawled

2026-04-06 18:12:25 (17 days ago)

First Indexed

2025-03-24 18:16:37 (1 year ago)

HTTP Status Code

200

Content

Meta Title

Home page for the book, "Bayesian Data Analysis"

Meta Description

null

Meta Canonical

null

Boilerpipe Text

This is the home page for the book, Bayesian Data Analysis , by Andrew Gelman, John Carlin, Hal Stern, David Dunson, Aki Vehtari, and Donald Rubin. Here is the book in pdf form , available for download for non-commercial purposes. Teaching Bayesian data analysis Code for some of the examples in the book Software Other Back to Andrew Gelman's homepage .

Markdown

This is the home page for the book, [Bayesian Data Analysis](https://sites.stat.columbia.edu/gelman/book/BDA3.pdf), by Andrew Gelman, John Carlin, Hal Stern, David Dunson, Aki Vehtari, and Donald Rubin. [![](https://sites.stat.columbia.edu/gelman/book/bda_cover.png)](https://sites.stat.columbia.edu/gelman/book/BDA3.pdf) [Here is the book in pdf form](https://sites.stat.columbia.edu/gelman/book/BDA3.pdf), available for download for non-commercial purposes. ### Teaching Bayesian data analysis - [Aki Vehtari's course material](https://github.com/avehtari/BDA_course_Aalto), including video lectures, slides, and his notes for most of the chapters. - [77 best lines from my course](https://sites.stat.columbia.edu/gelman/book/gelman_quotes.pdf) - [A student's lecture notes](https://sites.stat.columbia.edu/gelman/book/220lecturenotes.pdf) - [An article on teaching Bayesian applied statistics to students in social science and public health](http://www.stat.columbia.edu/~gelman/research/published/teachingbayes.pdf) - [An article with some class-participation demonstrations for decision theory and Bayesian statistics](http://www.stat.columbia.edu/~gelman/research/published/bayesdemos.pdf) - [Our research blog](https://statmodeling.stat.columbia.edu/) (useful for discussion topics) ### Code for some of the examples in the book - [BDA3 R demos](https://github.com/avehtari/BDA_R_demos) from Aki - [BDA3 Python demos](https://github.com/avehtari/BDA_py_demos) from Aki - [BDA3 Matlab/Octave demos](https://github.com/avehtari/BDA_m_demos) from Aki ### Software - [Stan](http://mc-stan.org/) (for posterior simulations) - [GPStuff](http://mloss.org/software/view/451/) (for fitting Gaussian processes; we used it to fit the birthday data shown on the book cover) - [Appendix C from the third edition of Bayesian Data Analysis](https://sites.stat.columbia.edu/gelman/book/software.pdf). This appendix has an extended example of the use of Stan and R. ### Other - [Datasets](https://sites.stat.columbia.edu/gelman/book/data/) for most of the examples from the book - Solutions to some of the exercises in the [third](https://sites.stat.columbia.edu/gelman/book/solutions3.pdf), [second](https://sites.stat.columbia.edu/gelman/book/solutions2.pdf), and [first](https://sites.stat.columbia.edu/gelman/book/solutions.pdf) editions. - Reviews from [prepublication](https://sites.stat.columbia.edu/gelman/book/blurbs1.txt), [first edition](https://sites.stat.columbia.edu/gelman/book/blurbs2.txt), and [second edition](https://sites.stat.columbia.edu/gelman/book/blurbs3.txt). - [Table of contents](https://sites.stat.columbia.edu/gelman/book/contents3.pdf) and [index](https://sites.stat.columbia.edu/gelman/book/subjindex3.pdf). - Errata for [third edition of the book](https://sites.stat.columbia.edu/gelman/book/errata_bda3.txt). Also errata for the [second edition](https://sites.stat.columbia.edu/gelman/book/errata2.1.txt) and for the [first](https://sites.stat.columbia.edu/gelman/book/errata1.txt), [second](https://sites.stat.columbia.edu/gelman/book/errata2.txt), [third](https://sites.stat.columbia.edu/gelman/book/errata3.txt), [fourth](https://sites.stat.columbia.edu/gelman/book/errata4.txt), [fifth](https://sites.stat.columbia.edu/gelman/book/errata5.txt), and [sixth](https://sites.stat.columbia.edu/gelman/book/errata5.txt) printings of the first edition. Back to [Andrew Gelman's homepage](https://sites.stat.columbia.edu/gelman/).

Readable Markdown

null

ML Classification

ML Categories

/Science		61.3%
/Jobs_and_Education		32.6%
/Jobs_and_Education/Education		32.4%
/Science/Mathematics		30.9%
/Science/Mathematics/Statistics		29.6%
/Books_and_Literature		15.1%
/Jobs_and_Education/Education/Colleges_and_Universities		10.6%

Raw JSON

{
    "/Science": 613,
    "/Jobs_and_Education": 326,
    "/Jobs_and_Education/Education": 324,
    "/Science/Mathematics": 309,
    "/Science/Mathematics/Statistics": 296,
    "/Books_and_Literature": 151,
    "/Jobs_and_Education/Education/Colleges_and_Universities": 106
}

ML Page Types

/Document		38.2%
/Document/Ebook		35.7%

Raw JSON

{
    "/Document": 382,
    "/Document/Ebook": 357
}

ML Intent Types

Informational		88.4%
Navigational		22.8%

Raw JSON

{
    "Informational": 884,
    "Navigational": 228
}

Content Metadata

Language

null

Author

null

Publish Time

not set

Original Publish Time

2025-03-24 18:16:37 (1 year ago)

Republished

Word Count (Total)

266

Word Count (Content)

Links

External Links

Internal Links

Technical SEO

Meta Nofollow

Meta Noarchive

JS Rendered

Redirect Target

null

Performance

Download Time (ms)

TTFB (ms)

Download Size (bytes)

3,232

Shard

151 (laksa)

Root Hash

8649014416106944551

Unparsed URL

edu,columbia!stat,sites,/gelman/book/ s443