Parse email string with metadata and get the From and Cc values...

Get all integers which follow certain symbols in a string with multiple delimiters...

Trying to match src part of HTML <img> tag Regular Expression...

Get src value of <img> tags with inconsistent quoting...

Get src value containing a specific keyword from all <img> tags...

Get src from square-braced shortcode text...

Get telephone number from a string containing labelled contact details...

Parse a single-line csv string containing double-quoted values...

Regex pattern with optional segments failing to match slash-delimited string...

Get sequences of numeric values which have a distinctive starting format as a sanitized array of del...

Get video id from the url path of an <iframe>'s src value...

Get the number from inside of online javascript function call within an HTML element...

Get the leading float value from a string...

How to convert a string in python to separate strings...

Extract mileage value from an eBay webpages...

Extracting text based on condition in R...

Get the href value from an <a> tag containing specific text...

Get the content attribute value of the <meta name="description"> tag in an HTML stri...

Extract date and time values from strings formatted as "/d-m-Y/H:i/" or "/d-m-Y/&quot...

Parse square braced placeholder and extract the dynamic number of "data-" attribute declar...

Match 3 subdirectory names in a filepath string after a specified directory name...

Get all <option> text values from an HTML document...

Get all matches between distinct substrings occurring on multiple lines...

Scrape href values from qualifying hyperlinks in Amazon's search results HTML...

Scrape all numeric values from all qualifying list items in an HTML document...

Get the filename without extension from a filepath string...

Get string between two specific characters in a string...

Get comma-separed latitude and longitude values from a larger body of text...

Parse HTML and create an associative array of products and their prices...

Get datetime value from a qualifying line in a .txt file then reformat the datetime value...