Data extraction with DB Maker
Transform unstructured data into valuable insights with DB Maker!
Data mining and data scraping are powerful techniques that allow individuals and organizations to extract valuable information from the internet. However, performing these tasks manually can be time-consuming and tedious. That is where DB Maker comes in - a powerful tool that simplifies the process of web scraping and data mining.
DB Maker is a web scraping tool that can extract data from structured documents such as web pages, HTML files, and text files.
Data mining and data scraping are powerful techniques that allow individuals and organizations to extract valuable information from the internet. However, performing these tasks manually can be time-consuming and tedious. That is where DB Maker comes in - a powerful tool that simplifies the process of web scraping and data mining.
DB Maker is a web scraping tool that can extract data from structured documents such as web pages, HTML files, and text files.
DB Maker can be used for a variety of functions, including marketing, order processing, email and support messaging and distribution, subscriber databases, and automated email sending. It can also be used to set up recruitment and job resume databases, process stock quotations, analyze statistical data on websites, systematize catalogs, lists, and price lists, and process raw and random data downloaded from the internet.
With its user-friendly interface, users can easily navigate the program and extract data from websites that are written using HTML. The program can extract data such as prices, product descriptions, contact information, and any other information that is available on the website. The program also allows users to convert the unstructured multiple html files into a CSV or Excel file for further processing in a spreadsheet application like Microsoft Excel.
Once you have selected files you want to extract, click the "Extract Data" button and select the file format you want to use for the extracted data (CSV, Excel, or Text).
With its user-friendly interface, users can easily navigate the program and extract data from websites that are written using HTML. The program can extract data such as prices, product descriptions, contact information, and any other information that is available on the website. The program also allows users to convert the unstructured multiple html files into a CSV or Excel file for further processing in a spreadsheet application like Microsoft Excel.
Once you have selected files you want to extract, click the "Extract Data" button and select the file format you want to use for the extracted data (CSV, Excel, or Text).
When it comes to distinguishing databases from regular text documents, the crucial concepts are "Records" and "Fields". These are the fundamental elements that set databases apart from other forms of unorganized information.
In a database, a record refers to a specific piece of information, and there can be numerous records within a single database. Each record comprises various individual fields that contain distinct data points.
Options for Identifying Records
"Begin" - Use a symbol or group of symbols to identify the beginning of a record. For instance, you can specify "<TR" as a record identifier if you know that it indicates the start of a new record in your database. Refer to the "bizcard.cnd" example.
"End" - Use a symbol to identify the end of a record.
Options for Identifying Fields
Field Identifier- refers to a set of values that define the arrangement of fields in documents.
For instance, you can specify "mailto:" as a field identifier if you know that it will be followed by an email address.
Refer to the "bizcard.cnd" example.
The following parameters can be used to adjust a data search:
Field Name - Enter any name you want to give to the field.
Field Begin - Specify a symbol that identifies the beginning of a field. It allows you to define the set of symbols after which the database field's value will follow.
Field End - Specify a symbol that identifies the end of a field. The field value will be located in front of this symbol. In the "bizcard.cnd" example, this parameter is "<".
Identifier Number - Use this option when there are multiple identifiers that are the same within a single record.
Number of Symbols - Use this option when there is a large amount of text following the field identifier.
Number of Words - Specify the number of words that should be considered the field value after the Field Begin identifier.
Number of Lines - Specify the number of lines after the Field Begin identifier of the field to be extracted.
Line Number - Specify the line number after the Field Begin identifier of the field to be analyzed.
Unique - If you want your database to contain only unique records, select this option. Double-click the mouse on this cell to initiate a unique record search.
DB Maker - The ultimate tool for automated data extraction
DB Maker is a versatile tool that can perform a wide range of functions, including marketing, order processing, email messaging and distribution, subscriber database setup, automated email sending, information transfer from email clients, recruitment and job resume database setup, stock quotation and offer processing, website statistical data analysis, database setup, catalog and list systematization, and processing raw and random data downloaded from the internet. In this article, we will explore how DB Maker can be used to perform each of these functions.
A powerful marketing tool
DB Maker can be used as a powerful marketing tool to extract contact information, product information, pricing, and other data from websites, which can then be used to build targeted marketing lists. With DB Maker, users can extract contact information such as email addresses, phone numbers, and physical addresses from websites and create targeted email lists or direct mail campaigns. Additionally, users can extract product information, pricing, and other data from competitor websites to inform their own marketing strategy.
Processing orders
DB Maker can be used to process orders from websites, automating the order fulfillment process. With DB Maker, users can extract order information from websites, including product name, quantity, price, and shipping information. This information can then be imported into an order management system for fulfillment.
To process email and support email messaging and distribution
DB Maker can be used to process email and support email messaging and distribution. With DB Maker, users can extract email addresses from websites and create targeted email lists for marketing or customer support purposes. Additionally, users can extract support tickets from email inboxes and automate the distribution and resolution of those tickets.
To set up subscriber databases
DB Maker can be used to set up subscriber databases for email marketing campaigns. With DB Maker, users can extract email addresses from websites and import them into a subscriber database, which can then be used to send targeted email campaigns.
To transfer information from email clients
DB Maker can be used to transfer information from email clients, automating the data entry process. With DB Maker, users can extract information from emails, such as contact information or order information, and automatically import that information into a database or order management system.
To set up recruitment and job resume databases
DB Maker can be used to set up recruitment and job resume databases. With DB Maker, users can extract job postings and resumes from websites and import that information into a database, which can then be used to track applicants and job openings.
To process stock quotations, prices, and offers
DB Maker can be used to process stock quotations, prices, and offers from financial websites. With DB Maker, users can extract stock prices, offer prices, and other financial data from websites and import that data into a database, which can then be used for analysis or trading purposes.
To analyze statistical data on websites
DB Maker can be used to analyze statistical data on websites, such as traffic data or user behavior data. With DB Maker, users can extract data from websites and import that data into a database or statistical analysis tool, which can then be used to generate insights or inform marketing strategy.
To set up various types of databases
DB Maker can be used to set up various types of databases, including customer databases, product databases, and inventory databases. With DB Maker, users can
DB Maker simplifies the process of data mining and data scraping by automating the extraction process. Users can extract data from websites and HTML files quickly and easily, without having to perform tedious manual tasks. With its user-friendly interface and powerful features, DB Maker is a must-have tool for researchers, data analysts, and anyone who needs to extract data from the internet.
In a database, a record refers to a specific piece of information, and there can be numerous records within a single database. Each record comprises various individual fields that contain distinct data points.
Options for Identifying Records
"Begin" - Use a symbol or group of symbols to identify the beginning of a record. For instance, you can specify "<TR" as a record identifier if you know that it indicates the start of a new record in your database. Refer to the "bizcard.cnd" example.
"End" - Use a symbol to identify the end of a record.
Options for Identifying Fields
Field Identifier- refers to a set of values that define the arrangement of fields in documents.
For instance, you can specify "mailto:" as a field identifier if you know that it will be followed by an email address.
Refer to the "bizcard.cnd" example.
The following parameters can be used to adjust a data search:
Field Name - Enter any name you want to give to the field.
Field Begin - Specify a symbol that identifies the beginning of a field. It allows you to define the set of symbols after which the database field's value will follow.
Field End - Specify a symbol that identifies the end of a field. The field value will be located in front of this symbol. In the "bizcard.cnd" example, this parameter is "<".
Identifier Number - Use this option when there are multiple identifiers that are the same within a single record.
Number of Symbols - Use this option when there is a large amount of text following the field identifier.
Number of Words - Specify the number of words that should be considered the field value after the Field Begin identifier.
Number of Lines - Specify the number of lines after the Field Begin identifier of the field to be extracted.
Line Number - Specify the line number after the Field Begin identifier of the field to be analyzed.
Unique - If you want your database to contain only unique records, select this option. Double-click the mouse on this cell to initiate a unique record search.
DB Maker - The ultimate tool for automated data extraction
DB Maker is a versatile tool that can perform a wide range of functions, including marketing, order processing, email messaging and distribution, subscriber database setup, automated email sending, information transfer from email clients, recruitment and job resume database setup, stock quotation and offer processing, website statistical data analysis, database setup, catalog and list systematization, and processing raw and random data downloaded from the internet. In this article, we will explore how DB Maker can be used to perform each of these functions.
A powerful marketing tool
DB Maker can be used as a powerful marketing tool to extract contact information, product information, pricing, and other data from websites, which can then be used to build targeted marketing lists. With DB Maker, users can extract contact information such as email addresses, phone numbers, and physical addresses from websites and create targeted email lists or direct mail campaigns. Additionally, users can extract product information, pricing, and other data from competitor websites to inform their own marketing strategy.
Processing orders
DB Maker can be used to process orders from websites, automating the order fulfillment process. With DB Maker, users can extract order information from websites, including product name, quantity, price, and shipping information. This information can then be imported into an order management system for fulfillment.
To process email and support email messaging and distribution
DB Maker can be used to process email and support email messaging and distribution. With DB Maker, users can extract email addresses from websites and create targeted email lists for marketing or customer support purposes. Additionally, users can extract support tickets from email inboxes and automate the distribution and resolution of those tickets.
To set up subscriber databases
DB Maker can be used to set up subscriber databases for email marketing campaigns. With DB Maker, users can extract email addresses from websites and import them into a subscriber database, which can then be used to send targeted email campaigns.
To transfer information from email clients
DB Maker can be used to transfer information from email clients, automating the data entry process. With DB Maker, users can extract information from emails, such as contact information or order information, and automatically import that information into a database or order management system.
To set up recruitment and job resume databases
DB Maker can be used to set up recruitment and job resume databases. With DB Maker, users can extract job postings and resumes from websites and import that information into a database, which can then be used to track applicants and job openings.
To process stock quotations, prices, and offers
DB Maker can be used to process stock quotations, prices, and offers from financial websites. With DB Maker, users can extract stock prices, offer prices, and other financial data from websites and import that data into a database, which can then be used for analysis or trading purposes.
To analyze statistical data on websites
DB Maker can be used to analyze statistical data on websites, such as traffic data or user behavior data. With DB Maker, users can extract data from websites and import that data into a database or statistical analysis tool, which can then be used to generate insights or inform marketing strategy.
To set up various types of databases
DB Maker can be used to set up various types of databases, including customer databases, product databases, and inventory databases. With DB Maker, users can
DB Maker simplifies the process of data mining and data scraping by automating the extraction process. Users can extract data from websites and HTML files quickly and easily, without having to perform tedious manual tasks. With its user-friendly interface and powerful features, DB Maker is a must-have tool for researchers, data analysts, and anyone who needs to extract data from the internet.
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DB Maker - Your one-stop solution for all data extraction needs
DB Maker - Your one-stop solution for all data extraction needs