I want to make a custom script that can extract specific type of table data from the websites (can be any website with similar type of data). Because there are lot of websites with different structures, some have table tag, some use divs and some use other.Data has similarities and I think it might be possible to achieve this.
I will show some examples for the experts.https://www.rockauto.com/en/moreinfo.php?pk=101750&cc=0&pt=1000587&jsn=788&optionchoice=0-0-8-1
The tables like these and Interchange numbers (if any) are to extracted by the script.
Another example would behttps://www.aimsindustrial.com.au/gates-9770-13a1955-green-stripe-belt-heavy-duty-en
You can see that the tables have specifications of product. Such tables need to be extracted.
Now, I do not know anything about machine learning and want a road map for this project. I do not have much time this is why I need guidance.If anyone can guide me how can I achieve this or give me a proper roadmap. What should I learn, what will help me in this project. I am proficient in python and data scraping though.