scrapeops-scrapy-sdk VS Scrapy

My favourite scrapingtool is Scrappy, requires some Python knowledge but there are some very good tutorials about it on https://scrapeops.io

Part 5: Deployment, Scheduling & Running Jobs - Deploying our spider on a server, and monitoring and scheduling jobs via ScrapeOps. Article

You could use a free tool like ScrapeOps that integrates directly into a server/VM or a Scrapyd server and allows you to schedule, run and monitor your jobs from a single dashboard.

Proxy APIs: The middle ground is using a smart proxy provider like ScrapeOps which aggregates lots of different proxy providers together and manages the entire proxy stack and request optimization for you. With these, you only pay for successful requests and works out much cheaper than residential proxies, and much less hassle than managing your own datacenter IPs.

FYI - if you want to see all your errors on a dashboard then you can checkout ScrapeOps which monitors your scrapers stats and errors. Just a 3 line install into your settings.py file. Live demo here

Just letting you know that we've updated the ScrapeOps Scrapy extension so it now monitors your errors & warnings in real-time and displays them on your dashboard. It allows you to:

For monitoring jobs and getting alerts then the ScrapeOps extension is a good option. Currently, just for Scrapy but will have Python Requests SDK in the next week. https://github.com/ScrapeOps/scrapeops-scrapy-sdk

Cool. You should check out ScrapeOps if you would like a free monitoring tool for your Scrapy spiders.

The ScrapeOps extension is free and designed for monitoring your jobs, checking data quality, getting alerts, and scheduling jobs.

BeautifulSoup4 Scrapy

While there is no specific library for SERP, there are some web scraping libraries that can do the Google Search Page Ranking. One of them which is quite famous is Scrapy - It is a fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data from their pages. It offers rich developer community support and has been used by more than 50+ projects.

If you're looking for a turn-key solution, I'd have to dig a little. I generally write a scraper in python that dumps into a database or flat file (depending on number of records I'm hunting).

Scraping is a separate subject, but once you write one you can generally reuse relevant portions for many others. If you can get adept at a scraping framework like Scrapy you can do it fairly quickly, but there aren't many tools that work out of the box for every site you'll encounter.

Once you've written the spider, it's generally able to be rerun for updates unless the site code is dramatically altered. It really comes down to how brittle the spider is coded (i.e. hunting for specific heading sizes or fonts or something) instead of grabbing the underlying JSON/XHR that doesn't usually change frequently.

1. https://scrapy.org

Scrapy capitalizes headers for request

Scrapy is a web scraping toolkit

I know this might not be a good answer, as it's not .NET, but we use https://scrapy.org/ (Python).