Hi, I would like to know if this software enables me to extract data like : address, Fax, Phone or else on a web page. For exemple, I would like to extact and send to excel the Address:, Phone:, Fax:, Email:, Web: I would need to have one company on one line in excel with all the details. Can I do it with a software or do you know one soft that would do it?
The familiar refrain of CRM failure is a hard one to avoid these days with so many industry watchers pointing to flawed strategies among customers, vendors and consultants as the reasons for an overwhelming lack of success.
Researchers such as Gartner Group and Meta Group have chronicled failure rates of 55-70% for CRM implementations in general, and point to a lack of clear strategy as a key contributor to this dismal industry track record. So, it would seem only rational to turn to these same industry watchers for their answers to the obvious questions that arise out of this: which CRM strategies work, and why?
To find out just what CRM strategies are paying off and why these tactics are the cornerstones to success, SearchCRM tracked down five industry experts for their best advice to the masses. What follows is the first in a three-part series on their top tips for effective CRM strategies.
Tip 1: Tackle business issues before choosing a technology.
Almost all of the experts agreed that most CRM buyers get confused into thinking that technology is the answer to their problems when in most cases, core businesses processes need to be rethought to better serve customers.
"CRM is not about technology. It is about the interplay of strategy, tactics, processes, skills and the technology that supports these areas. In fact, CRM can be done without technology. But it cannot scale without technology. Therefore, firms need to place the emphasis on a balance of these five areas," said Scott Nelson, analyst for Gartner Group, Stamford, Conn.
Tom Topolinski, an analyst with Gartner research division Dataquest, agreed.
"Consider your current sales, marketing, support and service processes," he said. "[Ask yourself] will this new system fit into them or mandate that they be changed? How much change can I afford? What is driving our current customer philosophy? Will the new system fit into this or mandate change to how we treat our clients?"
Tip 2: Explain real business needs to vendors/partners before investing.
In speaking to analysts about CRM's disappointment, it becomes immediately clear that a distinct lack of communication between many organizations and their vendor partners has factored heavily into the climate of disenchantment.
"Communicate the business issues to your prospective vendors," said David Bradshaw, an analyst at London-based researcher Ovum. "The best suppliers will ask smart questions and come up with smarter solutions that you can by yourself. So don?t cramp their style by dictating technology, instead demand proposals that make business sense."
Other analysts concurred that having the right game plan before committing to a vendor will equate to a much higher chance at success.
"Be proactive," suggested Denis Pombriant, analyst at Boston-based Aberdeen Group. "Always perform a baseline study of your situation before inviting vendors into the process or perform the study as part of the sales process with a few select vendors. This process was once called needs analysis and was directed by the vendor. The result was identification of problems that the vendors felt qualified to solve which may or may not have been congruent with the actual business problems of the purchasing organization."
Tip 3: Keep the customer as priority no. 1.
The point of CRM is getting closer to your customers but many analysts feel internal organizational issues often overshadow this goal.
"Never lose focus on your customers," Ovum's Bradshaw advised. "Make things better for them, not worse, or they?ll vote with their feet. Customers are smart enough to know that notices beginning ?For your convenience?? usually mean the opposite!"
According to Gartner's Nelson, the customer should be the number one focus throughout developing any CRM strategy.
"Organize around the customer and not products or geographies," the analyst said. "All the investment made in systems will not help you if you continue to be structured around products. Customers do not understand your firm's political structures. Don't make them."
Tip 4: Eat the elephant in small pieces.
Almost all of the experts agreed that having the right schedule should go a long way toward achieving more effective CRM.
"Take manageable, deliberate steps towards your ultimate goal of enterprise-wide CRM," offered Ovum's Bradshaw. "Make it work in one area at a time, and make sure you have demonstrable results before moving on. If you can go for the ?easy wins? first, that?s great, but it isn?t always an available option. For example, getting to clean, consistent customer data is never easy, but it is vital."
Many of the tipsters suggested taking a "wave approach" that looks at the big picture but deals with various elements as they come up.
"CRM is iterative," said Gartner's Nelson. "It often takes a while to see the results. One of the easiest traps to fall into is 'once and done.' CRM is not like that. Firms should think in terms of iterative waves, where they learn more about the customer, and improve their sales, marketing and service abilities with each iteration."
Tip 5: Keep it enterprise.
Another common theme among the analysts is the war cry to keep top-level executives involved in the CRM process from start to finish, and to emphasize that the enterprise approach cannot fall prey to issues of departmental independence.
"Too many executives don?t know what CRM is, and what it really means to their organization, before they start writing big checks," said Allen Bonde, president of the Boston-based Allen Bonde Group. "Once they do [understand CRM], then you need to build consensus among business and IT managers on how to achieve it."
Gartner's Nelson said he has seen the departmental approach cause failure in CRM projects more than once.
"CRM done at a department level sub-optimizes the customer relationship," he said. "This is why CRM needs to be strategized at an enterprise level, even if a particular initiative is departmental in nature. Think strategically, invest tactically, and make sure everything fits into an enterprise wide strategy."
Search engine optimization is a very critical task in the success of any website. In recent times search engines seem to have complicated this task further by their frequent changes in rules. This has caused lots of anxiety as some of these changes have seen some sites lose virtually all their regular traffic instantly as their rankings have tumbled.
Are You Ignoring An Important SEO Step? This has further added to the confusion amongst webmasters about search engines and their motivations. But no matter how mad one gets at the search engines, there is little that they can do to change the statistics which clearly indicate that well over 75 per cent of the traffic that most sites receive comes directly from search engines.
However, there is a secret that an increasing number of webmasters have discovered and are putting to good use. Whatever regular changes search engines instigate, their motivation remains the same. Most webmasters forget that there is currently very stiff competition between the leading search engines. More so because it has become abundantly clear that none of the top search engines are interested in the runners up position.
The search engine motivation This stiff competition between search engines is focused on the customer, that is the person who uses search engines to find information online. The preferred search engine and therefore the top one will always be the one that most satisfies the needs of that customer.
So whatever changes search engines make they will always be focused on improving the search engine experience for surfers. It is not too difficult to figure out what those who use search engines want, or even more important, what they do not want. Anybody using a search engine wants to be able to find what they are looking for quickly. Most will be looking for the most detailed quality content on the subject or information that they seek.
This simply means that any website that places its' focus on the end consumer using search engines, rather than on the search engines themselves is guaranteed to retain their high ranking whatever changes search engines keep on making.
Can you dare assume that search engines do not exist? So the most effective way to ensure that a website owner focuses on the surfers is for them to direct their focus on them, just like search engines are. It would help tremendously for them to start operating as if search engines did not exist and fully concentrate on ensuring that their sites have quality detailed content.
The dangers and harmful effects of webmasters focusing on search engines are very evident. We have sites that use keywords so heavily that it affects the quality of writing on their sites. Some sites have even done worse, leaving their quality content intact but creating keywords that are hidden to the human eye but visible to search engines.
In fact there are a whole lot of schemes on the net created to fool search engines, which have no regard for the surfer or what information they are looking for. For instance there is plenty of software on sale online whose promoters bluntly state is designed to fool search engines.
These are the sort of schemes that are causing so many constant changes in the rules of leading search engines as they seek for ways to combat any tricks that would favor undeserving sites in their rankings.
Content will always be king What all this means is that content remains the most important search engine optimization tool. Just take a closer look at all the leading google websites and try and trace a common thread running through them all. You will quickly discover that the quality of writing and content in these sites is extremely high.
This means that any webmaster that makes an effort to provide quality, relevant and detailed content on their site with the experience of the surfer as their central focus will be using an extremely powerful search engine optimization tool.
If your content is good, then you can post it at other websites complete with a detailed resource box that directs traffic to your website. Quality articles will usually end up being re-posted all over the net in an endless viral effect that will create quality links back to your site. Search engines still rank websites based on the links from other sites leading to it so quality content has a double advantage.
You will of course need to do a thorough job of posting your articles to various article directories, ezine publishers and announcement lists.
I'd like to collect all data of pharmacies from a Hungarian website www(dot)dr(dot)info(dot)hu into excel sheet (please replace (dot) with .). You can find the list under the headword "gyogyszertarak" (third button on the center of the site):
1. Name 2. Address 3. City 4. Phone 5. Type
You can see the site in action if you choose 'Budapest' dropdown and click on the 'KERESES' button. All pharmacies from Budapest appears. I need a complete list of all pharmacies in all cities (all database) in Excel sheet.
The data should be collected(Web Screen Scraper) in a manner that I can sort pharmacies by each field (eg. City, name…). "
Web2DB (Web Screen Scraping) service could provide you custom-designed Web Data Extraction Software in a very short time. Contact us now!
Problem The unabated growth of the Web has resulted in a situation in which more information is available to more people than ever in human history. Along with this unprecedented growth has come the inevitable problem of information overload. To counteract this information overload, users typically rely on search engines (like Google and AllTheWeb) or on manually-created categorization hierarchies (like Yahoo! and the Open Directory Project). Though excellent for accessing Web pages on the so-called "crawlable" web, these approaches overlook a much more massive and high-quality resource: the Deep Web.
The Deep Web (or Hidden Web) comprises all information that resides in autonomous databases behind portals and information providers' web front-ends. Web pages in the Deep Web are dynamically-generated in response to a query through a web site's search form and often contain rich content. A recent study has estimated the size of the Deep Web to be more than 500 billion pages, whereas the size of the "crawlable" web is only 1% of the Deep Web (i.e., less than 5 billion pages). Even those web sites with some static links that are "crawlable" by a search engine often have much more information available only through a query interface. Unlocking this vast deep web content presents a major research challenge.
In analogy to search engines over the "crawlable" web, we argue that one way to unlock the Deep Web is to employ a fully automated approach to extracting, indexing, and searching the query-related information-rich regions from dynamic web pages. For this miniproject, we focus on the first of these: extracting data from the Deep Web.
Extracting the interesting information from a Deep Web site requires many things: including scalable and robust methods for analyzing dynamic web pages of a given web site, discovering and locating the query-related information-rich content regions, and extracting itemized objects within each region. By full automation, we mean that the extraction algorithms should be designed independently of the presentation features or specific content of the web pages, such as the specific ways in which the query-related information is laid out or the specific locations where the navigational links and advertisement information are placed in the web pages.
There are many possible 7001-miniprojects. Feel free to talk to either of us for more details. Here are a few possibilities to consider:
1. Develop a Web-based demo for clustering pages of a similar type from a single Deep Web source. For example, AllMusic produces three types of pages in response to a user query: a direct match page (e.g. for Elvis Presley), a list of links to match pages (e.g. a list of all artists named Jackson), and a page with no matches. As a first-step to extracting the relevant data from each page, you may develop techniques to separate out the pages that contain query matches from pages that contain no matches, and perhaps, rank each group based on some metric of quality.
2. Design a system for extracting interesting data from a collection of pages from a Deep Web source. You might define a set of regular expression that can identify dates, prices, or names. Develop a small program that converts a page into a type structure. For example, given a DOM model of a web page, identify all of the types that you have defined, and replace the string tokens with XML tags identifying the types. Replace all non-type tokens with a generic type, and return the tree as a full type structure). Alternatively, you may suggest your own approach for extracting data.
3. Develop a system to recognize names in page. Given a list of names and a web page, identify possible matches in the page. Based on the structure of the page and the distribution of recognized names, identify strings that may also be names based on their location in the DOM tree heirarchy representing the page.
4. Write a survey paper about current approaches for understanding and analyzing the Deep Web. Be sure to include many of your own comments on the viability of the approaches you review.
5. Or, feel free to suggest a miniproject of your own.
Background: Knowledge of Java or Python would be helpful. Some knowledge of information retrieval and machine learning may be useful but is not required.
Deliverables: You should submit a report that clearly describes what you have learned and what you have accomplished. The report should include useful references. You should also provide any source code you may have written to validate your ideas.
Evaluation: You will be graded on the novelty and quality of your report and implementation.
Looking for the best way to finish web screen scraping within twenty-four hours? Web scraping or harvesting is, technically, any of the various methods by which one can extract content from a website over HTTP. This content is almost always changed into another format for use in another context, such as marketing. In this brief article, we’ll take a look at how you can most efficiently scrape web data, as well as the legal issues and technical scripting that may pose a problem to web scrapers.
The most common form of web screen scraping is the web crawler, used by such sites as Google. The most commonly seen use for web scraping is the scraper site, a website in which none of the content is original, and all information is taken from existing websites. The best way to scrape data is with one of the many online programs, which generally range from personal to corporate. Personal data scraping programs can be free or cheap, while corporation-grade scrapers can run upwards of thousands of dollars. Scrapers basically work by going over a website and collecting relevant data from any number of fields, be it simple text or e-mail addresses and phone and fax information.
Common legal issues with web screen scraping are invasion of privacy and violation of terms of use. Certain publication licenses like Creative Commons allow reproduction of material, and a recent lawsuit ruled that reproduction of facts was not a legal violation, but the web scraper must be careful what he or she chooses to reproduce. Gathering personal information like phone and fax data and e-mail addresses can be an invasion of privacy if the user is not informed, or if the information is improperly used, so some sort of agreement must be made by the user upon collection, otherwise serious legal action may, in some cases, be taken by the user.
There are certain ways to avoid web screen scraping, of which anyone who wants to scrape should be aware. Some sites will block scrapers’ IP addresses and some will have entries in robots.txt. Some sites will block bots based on what they declare themselves to be (though poorly-behaved crawler robots might list themselves as actual users). Excess traffic monitoring and verification programs can also block crawlers. Being aware of these obstacles and having a legitimate way to overcome them is very helpful to anyone trying to scrape information.
Looking for the best way to finish web screen scraping within twenty-four hours? Web scraping or harvesting is, technically, any of the various methods by which one can extract content from a website over HTTP. This content is almost always changed into another format for use in another context, such as marketing. In this brief article, we’ll take a look at how you can most efficiently scrape web data, as well as the legal issues and technical scripting that may pose a problem to web scrapers.
The most common form of web screen scraping is the web crawler, used by such sites as Google. The most commonly seen use for web scraping is the scraper site, a website in which none of the content is original, and all information is taken from existing websites. The best way to scrape data is with one of the many online programs, which generally range from personal to corporate. Personal data scraping programs can be free or cheap, while corporation-grade scrapers can run upwards of thousands of dollars. Scrapers basically work by going over a website and collecting relevant data from any number of fields, be it simple text or e-mail addresses and phone and fax information.
Common legal issues with web screen scraping are invasion of privacy and violation of terms of use. Certain publication licenses like Creative Commons allow reproduction of material, and a recent lawsuit ruled that reproduction of facts was not a legal violation, but the web scraper must be careful what he or she chooses to reproduce. Gathering personal information like phone and fax data and e-mail addresses can be an invasion of privacy if the user is not informed, or if the information is improperly used, so some sort of agreement must be made by the user upon collection, otherwise serious legal action may, in some cases, be taken by the user.
There are certain ways to avoid web screen scraping, of which anyone who wants to scrape should be aware. Some sites will block scrapers’ IP addresses and some will have entries in robots.txt. Some sites will block bots based on what they declare themselves to be (though poorly-behaved crawler robots might list themselves as actual users). Excess traffic monitoring and verification programs can also block crawlers. Being aware of these obstacles and having a legitimate way to overcome them is very helpful to anyone trying to scrape information.
Security is one of the greatest concerns of anyone with a family, who runs a business, or who rents space to other people. One of the best ways to increase security is through a visitor management system. These systems can provide a range of security measures, from excluding those without access to alarm systems. In this brief article, we’ll go over how including a connection to a sex offender database can improve the security of your visitor management system, as well as some useful tips when considering how to use your system to keep yourself or others safe and secure.
Visitor management systems have the obvious benefit of keeping out anyone who doesn’t meet the requirements you specify to enter. They have the added bonus, however, of having those you allow enter provide information on themselves. For this reason, having access to a sex offender database allows you to not necessarily exclude, in the case of something like a housing development, but be aware of the status of anyone who wants to gain entry. All you need to connect your visitor management system to a sex offender database is a wireless or even routed internet connection – after that, it’s a matter of having someone install a self-updating program to keep your system in touch.
An easy way to have your visitor management system stay current with the online sex offender database is through a web crawler or spider. These electronic data packages can be set to scrape certain sites for information, be it visual (as in maps and charts) or textual (bulk data and indices). Having a spider set to ping the offender database, say, once a week should be plenty. Any professional in the field could set up a simple auto update program and have your visitor management system stay effective and updated with zero to no effort on your part.
Some things to keep in mind while considering the sex offender database as part of your visitor management program are your proximity to schools and parks, which restrict the activities of registered sex offenders within a certain distance, and of course the action you might take upon receiving information that someone who wants to gain entry is a registered offender. There might even be some merit to having the system automatically dial emergency numbers if your system is close enough to a park or school for the offender to be in violation of that distance.
Building your own web data crawler is a great way to get very specific information in whatever fields you choose, but can be trickier than most people think. In this brief article, we’ll go over some easy tips and tricks to keep in mind while constructing a spider, but first we’ll take a look at some basic information on crawlers. A web crawler is, essentially, any package of code that is designed to browse the web in a specific pattern. They can be used for data collection, website maintenance (through checking links and looking at images), search engine indexing, and much more. They are the most common type of web scraping tool, and can be used for a variety of purposes.
The basic web data crawler is a very simple bundle of code that is designed to jump from link to link, occasionally copying up text or other data that meets certain parameters. Depending on what you intend to use your crawler for, you’ll need to adjust how it behaves. For example, say you are building a spider to collect data on a certain demographic, in this case, online auction traders. You would probably want to include sites in its path like eBay, and set it to gather information on what goods are most commonly auctioned, pricing for different types of goods, etc. Conversely, a spider sent to test links on a personal website and check for errors in code will act completely differently. It is important to keep in mind what your personal purpose for your spider is.
Remember, a custom web data crawler can behave well or poorly, based on how you code it to respond to certain things. A well-behaved spider will obey commands in files like robots.txt, which dictates how automated crawlers are to respond to certain things. A well-behaved spider will announce itself and what it is, and for whom it is crawling. The benefits to having a well-behaved crawler are fairly obvious – you won’t receive complaints from webmasters who catch you crawling where you aren’t supposed to, and some serious lawsuits can result by coding a spider that ignores attempts to keep it out.
Having a web data crawler at your disposal can be a valuable resource, but it must be used correctly. As long as your crawler is respectful and obedient to webmasters’ commands, you’ll be collecting data without a hitch in no time at all.
The most popular way to collect data on the web, by far, is the web crawler. Having a custom web crawler to seek out and compile information you specify can be immensely useful to anyone who deals with large amounts of data – be you an attorney, a scientist, or an advertiser. A web crawler (also known as a web spider or web robot) is, basically, any program or automatic script that scours the web in a set pattern. These code packages can be invaluable at recovering data for a variety of purposes. In this article, we’ll take a look at the most common ways web crawlers are used, how you can customize a web crawler, and some tips to keep in mind when creating yours.
Web crawlers are gatherers of information, and internet is the biggest depository of information in the world. Therefore, it makes sense that the most common browser of the internet is not people, but spiders. Spiders are used to keep search engines up to date, to discover and index new pages, to rank search results, scraping web pages, and for website maintenance (by checking links and looking at images). Web crawlers can be of use to anyone who frequently uses the internet to gather similar information, who wants to keep updated on a certain site, or who wants to maintain their own website. Anyone, essentially, that has a large amount of data to deal with and doesn’t want to sift through it by hand can benefit through the use of a custom web crawler.
Coding a custom crawler is probably beyond most people’s programming skills, so a number of companies have cropped up that provide various methods of web data extraction. The most popular of these is the custom web crawler, which can be specified to extract certain types of data and can be programmed to visit certain sites or even certain kinds of sites. It works by collecting data, both static and dynamic, from websites. It then converts this data into a readable format, and can perform simple editing functions like the removal of repeat material.
Important things to keep in mind when using a custom web crawler, or any form of online data collection, are the behavior of your crawler and terms of use you may violate. A well-behaved crawler will announce what it is and follow instructions in robots.txt, a file through which websites can control how crawlers behave.
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