More than 5.5 billion Google searches are submitted each day, but scraping SERP results may seem a difficult task to do due to the fact that Google is preventing people and businesses from accessing the data they need to successfully execute their project. With the growing abuse of the methods that worked previously to trick the algorithm and pull one over on the system, big search engines like Google don’t really have any other choice.
If you’re using web scraping to gain a competitive advantage or uncover key metrics behind your website’s SEO performance, or maybe scan for security weaknesses, the data is there for the taking. But one should know how to get it. With a huge IP pool which is very fast, Geonode is presenting one of best rotating proxies in the market today.
What are the ways to scrape Google SERPs?
Generally, you can scrape Google SERP in a few ways. The first way is to use their API, which allows getting around 2k results a day. You will not be able to get accurate ranking positions from this method if you only need a lower number of requests and are mainly interested in getting some websites according to a keyword that’s the choice.·
Or you can scrape the real search results (the second way). That’s the only way to get the true ranking positions, for SEO purposes or to track website positions. Also, it allows getting a huge number of results if done right. You can start off at a few hundreds of requests per day and this can be multiplied by multiple IPs. But if Google detects you, your script will be banned by IP/captcha, so not getting detected should be a priority.
Sure, you could drop money on an expensive piece of software or you could look for other strategies to find all of the data you need in a matter of hours.
A good way to do this is to build a Google scraper to scrape Google’s SERPs so that you can quickly and easily gain access to the information you need by scraping Google search for all the keywords you provide.
First of all, there'll be needed a local development environment for Python (version 3). There's plenty of guides on how to do to configure everything you need.
One of the easiest ways to build a Google scraper that can scrape the search engine results from any Google query is by combining Python Scrapy Spider with proxy management API, preferably one that handles everything to do with rotating and managing proxies and could provide auto parsing functionality as well. The query URL will then be sent as a request to Google Search using Scrapy's yield via the proxy connection that was set up in the 'get_url' function, while the result in JSON format will be then be sent to the parse function for processing. Here's a good guide on how to build a Google scraper using Scarapy and ScraperAPI's autoparse functionality.·
Among some of the best Google proxy API, and scraping tools that make getting the SERP data you need effortless, besides Scraper API, you could·buy proxy·at Accsmarket, use SERP API, DataForSEO, or OxyLabs.
Of course, there're other ways to scrape Google search results, with only using Python and Google Cloud Platform(GCP), but these require better coding skills that, even though that may be longer or harder to implement, but they still would work.·
In conclusion·
Website scraping is a very valuable web development skill that will allow you to take back control of your data and uncover many of the “secrets” that Google has hidden right below the surface.
