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About this capture

COLLECTED BY

Organization: Internet Archive

The Internet Archive discovers and captures web pages through many different web crawls. At any given time several distinct crawls are running, some for months, and some every day or longer. View the web archive through the Wayback Machine.

Collection: International News Crawls

Crawls of International News Sites
TIMESTAMPS

The Wayback Machine - http://web.archive.org/web/20130716151940/http://archive.org/advancedsearch.php
  
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Advanced Search

This form allows you to perform an advanced search. You only need to fill in one field below. This can be any field. If you select "not" as your match criteria, you must select one other field.

  Any field:
AND Title:
AND Creator:
AND Description:
AND Collection:
AND Mediatype:
AND
AND
AND
AND Date:
AND Date range: TO





Advanced Search returning JSON, XML, and more

This will return results in the format of your choice.
Query:

Fields to return (pick one or more):

(optional) Sort results by:





Number of results:
Page:
Indent response:

JSON format:
XML format:

save to file:

HTML table:
CSV format:
(show/hide help)

RSS format:
("Fields to return" ignored)





Help with CSV and Excel (show/hide help)

Instructions for using the advanced search engine to create reports for items pertaining to books... go to archive.org
click on Go!
click on "advanced search"
look half way down the page to the "advanced XML Search" window.
Type into the "Query" field- "contributor:(library of congress) AND publicdate:[2008-08-01 TO 2008-08-30]"

Important:

By holding down the "Shift" Key, highlight the fields you want to eventually have exported to excel. For example- "date, identifier, imagecount and title"
Click the radio button for "CSV"
Hit "search". There might be a small delay as the search is executed. In this query, approx. 2143 results will be returned.
When prompted, save the ".csv" file to your hard drive and note the location saved.
Open Excel and open the previously saved ".csv" file. It will parse the data into columns and you now will be able to sort, sum, or otherwise manipulate the data.

Notes

Dates and ranges

The following dates can be used for range queries: The special date field, "oai_updatedate", can be used to mean all of the following dates combined: The rationale for "oai_updatedate" date merging is to allow something like the Open Archives Initiative protocol get time-sortable lists of updated or added items.

Example date ranges: updatedate:[2007 TO 2008] createdate:[2007-02-01 TO 2007-02-11]

For dates like "sponsordate" that are not able to do ranges, they can still use * wildcards, for example: sponsordate:200802*

Example queries

publicdate:[2008-02-01 TO 2008-03-01] AND contributor:smithsonian sponsordate:200802* AND mediatype:texts indexdate:[2008-02-01T00:12:00Z TO 2008-03-01T00:23:59Z]

Explanation of Terms, Operators, Queries, and Grouping

Here, you will find an explanation on how the syntax to the search engine works.

  Our site uses the Apache Lucene opensource search engine library  and uses its  lucene  query syntax. A briefer explanation of the syntax follows.

  Terms:
  The search engine supports two types of terms, single terms and phrases.
  A single term is a single word such as "test" or "hello".
  A phrase is a group of words such as "duck and cover".  

 Field Specific queries:
  If you want to restrict your search to a specific part of the metadata, you  can append in front the term a Field Shortcut, such as:  
   
  will look for "Duck and Cover" only in the title of  the items. For more information on Field Shortcuts, see section about Field  Shortcuts Expansion
  NOTE: searching in only a restricted set is better than using the default set  for two reasons:  

(一)it’s much faster
(二)the results are much more relevant
  
Boolean Operators:
  By default, the operator is AND, which means that the query:  
  
  is exactly similar to test AND hello, which means that documents containing  the term "test" AND the term "hello" will be returned.
  The query:  
  
  will return documents either containing the term "test" OR the term "hello".  The query:  
  
  will return documents that contain the term "test" but not the term "hello"  NOTE: using the NOT operator, be sure to supply at least one term without  the NOT, or search will fail (the query NOT test is not valid).  

 Range Queries:
  range queries allow you to search for documents whose field match values in  between two bounds, for example:  
  
  will return items whose download count is between 1000 and 2000.  using [] will include the bounds in the search, and () will exclude the  bounds from the search If you don’t want to specify a bound,  you can use the special keyword "null":  
  
  will search for items with more that 10000  downloads.  

 Boosting a term:
  Boosting allows you to control the relevance of a document by boosting its  term. For example, if you are searching for war gulf and you want the term  "gulf" to be more relevant boost it using the ^ symbol along with the boost  factor next to the term. You would type:  
  
  This will make documents with the term gulf appear more relevant.  

Grouping:
  The search engine supports using parentheses to group clauses to form  subqueries, for example:  
  
  you can also use this feature within a field:  
  
  
Fuzzy Queries:
  If you are not sure how to spell a word you can ask the search engine to try  to figure it out for you. To do this, append a ~ after the term to apply it  on, for example:  
    
 will find the words buttonwood, as well as  cottonwood and buttonware.  NOTE: this query involves a lot of computing, so use it wisely and expect to  wait a little for results to come in!  


Terms of Use (10 Mar 2001)