Free submitting to search engines software for linux

ALTSE is an alternative search engine technology.

It can index up to a couple million Web sites.

A search engine is a program designed to help find information stored on a computer system such as the World Wide Web, or a personal computer.

The search engine allows one to ask for content meeting specific criteria (typically those containing a given word or phrase) and retrieves a list of references that match those criteria.

Search engines use regularly updated indexes to operate quickly and efficiently. Without further qualification, search engine usually refers to a Web search engine, which searches for information on the public Web.

Other kinds of search engine are enterprise search engines, which search on intranets and personal search engines, which search individual personal computers.

Some search engines also mine data available in newsgroups, large databases, or open directories like DMOZ.org. Unlike Web directories, which are maintained by human editors, search engines operate algorithmically.

Most web sites which call themselves search engines, are actually front ends to other search engines owned by other companies. The typical user will often not know which underlying search engine they are using.

Sethi Search Utility provides a simple command line utility to submit a search to Google, Yahoo!, or MSN.
Sethi Search Utility is a simple command line utility to submit a search to Google, Yahoo!, or MSN and show the (text) results on standard output. Support for several search engines is included.
Its currently in serious need of a re-write, especially to avoid scraping and become a good engine using the search APIs provided.
Enhancements:
- The Google configuration was updated.

Javascript Search Aggregator allows you to perform all of your Web searches from one place.
You can create many categories of searches such as work and fun and customize search engines for your specific needs.
Javascript Search Aggregator remembers the last query and state of the tabs and works on any browser with JavaScript support.
Enhancements:
- Do not load last selected engine on first load

Magellan Metasearch is a modular meta search engine, enabling users to monitor as many search engines as they want.
Magellan Metasearch provides a complex query language with standard boolean operators, meta-operators (to search through pages metadata), and proximity operators.
This language enables users to perform far more complex queries than what common search engines currently support. It can be fed any custom sources, since its abstraction layer manages the search results and their meta tags in a uniform way.
In conjunction with the local process scheduler (such as "cron"), Magellan enables you to save your requests and replay them later automatically; new results are sent through email and RSS in realtime. Magellan also provides full anonymity through smart multi-proxy support.
Enhancements:
- This release enhances the automated parsing mechanism ; it also fixes a problem with small result sets that occasionally couldnt be extracted.
- Moreover, new virtual sources are automatically tested on creation / update to check their validity.

The key to success for a web site is good search engine ranking. All of the major search engines use link popularity to determine how well a site will rank - so the more high quality, relevant links that lead to your site, the higher it will rank. LinkMachine makes it easy to get the links you need by helping you establish hundreds of quality, relevant link exchanges.
LinkMachine will help you:
- Climb to the top of the search engines
- Gain quality links to your site today
- Automate your link management
- Uncover exactly how to beat your top competitors
- Attract thousands more targeted visitors to your site
The most effective way to interest webmasters in linking to your site is by offering to exchange reciprocal links. This is a win-win situation - both of your web sites benefit from new targeted, relevant links.
LinkMachine project helps you build as large a reciprocal link program as youd like. Search engines see all of the new links pointing from other quality, relevant sites to your site, and increase your rank. Note that this is very different from using indiscriminate "link farms", which will give you no advantage with the search engines.
Google recently revealed the secrets of its search ranking technology by filing a patent application. What we found out is that Google values organic link building - link building that progresses naturally rather than appearing artificial. LinkMachine is the ideal tool for building link exchanges the way Google likes them.
LinkMachines InstantLinks system and link search tools allow you to grow your link exchanges gradually and gain links from many different sites. And with LinkMachines Alternate Profiles feature, you can easily benefit from having the links to your site use a diverse variety of anchor text.

URI::ParseSearchString is a Perl module that can parse Apache refferer logs and extract search engine query strings.
SYNOPSIS
use URI::ParseSearchString ( parse_search_string );
$string = parse_search_string(http://www.google.com/search?hl=en&q=a+simple+test&btnG=Google+Search) ;
FUNCTIONS
parse_search_string
This module provides a simple function to parse and extract search engine query strings. It was designed and tested having Apache referrer logs in mind. It can be used for a wide number of purposes, including tracking down what keywords people use on popular search engines before they land on a site. It makes use of URI::split to extract the string and URI::Escape to un-escape the encoded characters in it. Although a number of existing modules and scripts exist for this purpose, the majority of them are either outdated using obsolete search strings associated with each engine.
The default function exported is "parse_search_string" which accepts an unquoted referrer string as input and returns the search engine query contained within. It currently works with both escaped and un-escaped queries and will translate the search terms before returning them in the latter case. The function returns undef in all other cases and errors.
for example:
$string = parse_search_string(http://www.google.com/search?hl=en&q=a+simple+test&btnG=Google+Search) ;
would return a simple test
whereas
$string = parse_search_string(http://www.mamma.com/Mamma?utfout=1&qtype=0&query=a+more%21+complex_+search%24?mit=%C2%A0%C2%A0Search%C2%A0%C2%A0) ;
would return a more! complex_ search$
Currently supported search engines include:
- AOL (UK)
- AllTheWeb
- Blueyonder (UK)
- Feedster Blog Search
- Fireball (DE)
- Froogle
- Froogle UK
- Google
- Google Blog Search
- HotBot
- Ice Rocket Blog Search
- Lycos
- Mamma
- Mirago (UK)
- MSN
- Netscape
- Technorati Blog Search
- Tiscali (UK)
- Web.de (DE)
- Yahoo

Yahoo::Search::Request is a container object for a Yahoo! Search request. (This package is included in, and automatically loaded by, the Yahoo::Search package.)

Package Use

You never need to use this package directly -- it is loaded automatically by Yahoo::Search.

Object Creation

In practice, this class is generally not dealt with explicitly, but rather implicitly via functions in Yahoo::Search such as Query and Links, which build and use a Request object under the hood.

You also have access to the Request object via Request() method of resulting Response and Result objects.

To be clear, Request objects are created by the Request() method of a Search Engine object (Yahoo::Search).