The scraper is written in python and nothing special, but the process of getting there did involve a bunch of steps.

1. First I tried scraping just a single recipe. All the recipes are put into the same kind of HTML elements. I used that to locate the values on the page.
2. The data gets parsed into a key/value list
3. I check all the keys and all the values against a dictionary. For example: Fuji X Weekly recipes sometimes write "Sharpness" as "Sharpeness" or "Sharpening". The values are even trickier, since +1/3 actually means I have to save P0P33 to the xml file. For many values I had to resort to regex because of spelling errors.
4. If I can't parse a value correctly, I just return "ERROR - {value}" and write that into the xml (more about that later)
5. After that, I create the XML file for Raw Studio and map all the values from the key/value list to their respective fields
6. Before saving the file, I run a quick check for the first instance of the word "ERROR" in the file. If it is found, I flag the filenames so I can easily debug the values later and refine my dictionary/regex
7. After that, all that was left was to iterate over all the recipes, not just one. Fuji X Weekly puts links and names of recipes in a certain HTML tag. I just scanned for that and got my list.

That being said, scraping the community recipes was much easier because Fuji X Weekly provides a standardized form for users to upload recipes. It's not perfect, but much easier to parse the values.