crawlr | headlessly crawl , log and send data | Bot library
kandi X-RAY | crawlr Summary
kandi X-RAY | crawlr Summary
A simple Crawling framework in Python build to make our life easier for creating and running bots. It is composed of 3 main components:.
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Top functions reviewed by kandi - BETA
- Write text to el
- Execute the hooks
- Find an element
- Waits for an element to click
- Write key to element
- Browse a link
- Wait until the page fully loaded
- Finds elements matching el
- Calls click
- Click an element
- Log a message
- Go to url
- Back up the page
- Finds elements that match el
- Waits until the page fully loaded
- Store the object in the backend
- Hides an element
crawlr Key Features
crawlr Examples and Code Snippets
Community Discussions
Trending Discussions on crawlr
QUESTION
My Goal: Using R, scrape all light bulb model #s and prices from homedepot. My Problem: I can not find the URLs for ALL the light bulb pages. I can scrape one page, but I need to find a way to get the URLs so I can scrape them all.
Ideally I would like these pages https://www.homedepot.com/p/TOGGLED-48-in-T8-16-Watt-Cool-White-Linear-LED-Tube-Light-Bulb-A416-40210/205935901
but even getting the list pages like these would be ok https://www.homedepot.com/b/Lighting-Light-Bulbs/N-5yc1vZbmbu
I tried crawlr -> Does not work on homedepot (maybe because https?)I tried to get specific pages I tried Rvest -> I tried using html_form and set_values to put light bulb in the search box, but the form comes back
...ANSWER
Answered 2018-Jun-26 at 15:24You can do it through rvest and tidyverse.
You can find a listing of all bulbs starting in this page, with a pagination of 24 bulbs per page across 30 pages:
https://www.homedepot.com/b/Lighting-Light-Bulbs-LED-Bulbs/N-5yc1vZbm79
Take a look at the pagination grid at the bottom of the initial page. I drew a(n ugly) yellow oval around it:
You could extract the link to each page listing 24 bulbs by following/extracting the links in that pagination grid.
Yet, just by comparing the urls it becomes evident that all pages follow a pattern, with "https://www.homedepot.com/b/Lighting-Light-Bulbs-LED-Bulbs/N-5yc1vZbm79" as root, and a tail where the last digit characters represent the first lightbulb displayed, "?Nao=24"
So you could simply infer the structure of each url pointing to a display of the bulbs. The following command creates such a list in R:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install crawlr
You can use crawlr like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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