My goal is to recover as many images as possible from a file comprising between 70 and 80,000 product references. The supplied file (xlsx) includes the brand, the GTIN code, the manufacturer reference (MPN) and the description.
The images should be sought in priority on the sites of the manufacturers. If there are no images on the manufacturer's site, then another image can be found.
The images found must be renamed with the GTIN code. The first like GTIN-1, the second like GTIN-2 ... (for example, if the GTIN is 5449000000996, the first image found will be renamed: 5449000000996-1, the second 5449000000996-2 ...)
Images with a watermark should be avoided as much as possible. I am only looking for solutions with algorithm.
Keep in mind: There are a lot of images to look for: 80,000 references with an average of 5 images per product. So you need someone who develops a script. For the quality, this script must first browse the sites of the manufacturers. The names of the manufacturers are entered in the file.
The operation must be completely finished by Friday, October 29. Imperative deadline.
Bu iş için 44 freelancer ortalamada €464 teklif veriyor
Hello Sir, I am an expert in web research,I saw the details and I understood well how to execute this task within the mentioned timeline . Please contact me to discuss more ,looking forward to work with you. Thanks.
ok sure i can scarp images 70 to 80,000 product references as you want before Friday, October 29 deadline pls PM me can we discuss more ..? wait for reply thanks.