Ah okay, I see what you mean with that one. I think the way I would approach Workday is categorizing the different companies that use Workday into certain buckets. So the example I gave would be one bucket, and the one you gave would be a different bucket. I would create a script for each of these buckets, instead of trying to use a one-size fits all approach. The approach I'd use for the website you linked would be something like:

Create a request mimicking this curl command:

curl 'https://nxp.wd3.myworkdayjobs.com/wday/cxs/nxp/careers/jobs' \ -H 'Connection: keep-alive' \ -H 'sec-ch-ua: " Not A;Brand";v="99", "Chromium";v="96", "Google Chrome";v="96"' \ -H 'Accept: application/json' \ -H 'Content-Type: application/json' \ -H 'Accept-Language: en-US' \ -H 'sec-ch-ua-mobile: ?1' \ -H 'User-Agent: Mozilla/5.0 (Linux; Android 5.0; SM-G900P Build/LRX21T) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/96.0.4664.45 Mobile Safari/537.36' \ -H 'sec-ch-ua-platform: "Android"' \ -H 'Origin: https://nxp.wd3.myworkdayjobs.com' \ -H 'Sec-Fetch-Site: same-origin' \ -H 'Sec-Fetch-Mode: cors' \ -H 'Sec-Fetch-Dest: empty' \ -H 'Referer: https://nxp.wd3.myworkdayjobs.com/en-US/careers?p=4' \

  --data-raw '{"limit":20,"offset":80,"searchText":"","appliedFacets":{}}' \
  --compressed

Change the offset by +20 (second to last row) each time until you reach the desired number of jobs. May need some changes but that's the general approach!

Thanks for going down the Workday scraping rabbit hole with me. :)

Did you pull this from the browser console's "Copy as cURL" function?

I tried this with some success (there's even a utility for translating cURL to Python - imagine that! https://curlconverter.com/) but I had some issues after a while, probably because the cookie/session token expired.