In [url removed, login to view] there is multiple sellers selling the same products.
See this link to see what I'm talking about:
[url removed, login to view]
Alot of pink hello kitty watches. Many of them are the same products, they use the same product images, BUT they might have small differences, like dimension/scale and small watermarks.
What I need, is a scraper where I can input two things:
1. a spesific searchstring, like "pink hello kitty watch"
2. an image that i want to find similar products of. example image: [url removed, login to view]
The scraper should then go through the [url removed, login to view] searchresults for the searchstring (in this case "pink hello kitty watch"), and find all the sellers that sells this spesific product. This means you will have to compare all the images to the one input in the second step above, and if the image is close enough (you will have to determine what will give good results, and take into account dimension/scale/watermarkdifferences), it will display the list of matched products (url, image and price). List should be default ordered as price ascending.
What will be the purpose of this scraper?
If my regular seller stops selling the product, I need a fast way of finding the same product in [url removed, login to view] again, and cheapest possible.
Also I would use it to find lower prices for the products I'm already selling.
More about the image comparison:
The images you need to compare and match, will be the same angle. The only difference between the images will normally be dimension and some watermark.
See examples of the following similar images: (These should give a match)
Number 1 has a small watermark down at the bottom. (Other images might have the watermark in the middle)
Number 2 is smaller in size.
This means that the following would be an example of a good matching routine:
1. Resize the images to be compared, so they are of similar dimension.
2. Compare the image, and if a certain percentage of the image is exactly the same (the percentage you will decide when testing, I'm guessing you would need around 90% match to compensate for watermarks), it will come out a match.
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