Data Scraping from Machinerytrader.com

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Project Title: Data Scraping from Machinerytrader.com

Project Description:
Need a fixed rate quote for the following project:

1) Visit https://www.machinerytrader.com/listings/search

2) Apply the following filters from left side menu: Condition = Used, Country = USA


Ideally we would have the month that the machine was listed, but the only way I can see that this would be possible is to apply a third filter: Search results by date = [checkmark, yes] show listings added in the last [30] days.

And then once complete saying [60] days. And then once complete saying [90] days.

And so on, each time removing the duplicate listings from previous searches so you have a general month posted range for each batch.

Seems to be too difficult, unless you can find another source for that data point – let me know.

3) Click through into listing details for each result, Scrape all of the data available for the listing, but at least: Listing name, Category, Price, Seller Company, Seller Location, Seller Phone, Seller Contact Name, Machine Location — and then all the sub-fields for that page (I believe it may vary some depending on listing, but it should always scrape the field title and the value ex. [All General fields, all Capacities fields, all Category Specific fields, all Interior fields, All Powertrain fields, all Engine fields, and URL of the that listing details page.]

Note: please give feedback on the best way to standardize this information so that it all works within one spreadsheet. What would you recommend?

For similar work requirements feel free to email us on info@webscrapingexpert.com.

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