ProProfs Help Desk
Freshdesk
Zendesk
osTicket
HelpScout
UseResponse
Intercom
Front
Scrapy
Apify
Scraper API
ParseHub
Octoparse
import.io
Portia
Zyte
ProProfs Help Desk Software is a customer service tool that enables customer support teams of your organization to track user issues and requests. Only then can they effectively resolve customer-care-related issues. This feature-rich issue tracking software allows online businesses to track all customer issues, queries, requests, and bugs.
The best part about ProProfs Help Desk is its shared inbox feature. With ProProfs Help Desk, your agents can manage all customer-facing inboxes, such as sales@, help@, support@, contact@, and billing@. When an agent has access to customer emails, it becomes easy for them to reassign the message to the right person. Shared inbox makes it possible to gather internal feedback with in-line, internal comments. Agents can also collaborate well with teams. This collaboration leads to faster ticket resolution.
Features:
ProProfs Help Desk ScrapyI think this tool really is great for managing customer tickets and resolving them easily. I can prioritize tickets and organize them using labels, making it easy for me to resolve customer questions instantly. It’s also great as I can put notes on tickets to let other agents know what they need to do. Makes it really easy for agents to collaborate.
There has been no looking back for us since we started using the ProProfs Help Desk. We have 3 customer-facing email accounts that we could club using their shared-inbox feature. Moreover, with canned responses, we are able to meet customer expectations every single time,
Based on our record, Scrapy seems to be more popular. It has been mentiond 94 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Scrapy is an open-source Python-based web scraping framework that extracts data from websites. With Scrapy, you create spiders, which are autonomous scripts to download and process web content. The limitation of Scrapy is that it does not work very well with JavaScript rendered websites, as it was designed for static HTML pages. We will do a comparison later in the article about this. - Source: dev.to / 21 days ago
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. - Source: dev.to / 6 months ago
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... - Source: Hacker News / 11 months ago
I know this might not be a good answer, as it's not .NET, but we use https://scrapy.org/ (Python). Source: 12 months ago
Take a look at Scrapy. It has a fairly advanced throttling mechanism for you to not get banned. Source: about 1 year ago
Freshdesk - Freshdesk is a cloud-based customer support software that lets you support customers through traditional channels like phone and email, social channels like Facebook and Twitter, and your own branded community
Apify - Apify is a web scraping and automation platform that can turn any website into an API.
Zendesk - Zendesk is a beautiful, lightweight help-desk solution.
Scraper API - Easily build scalable web scrapers
osTicket - osTicket is a widely-used open source support ticket system.
ParseHub - ParseHub is a free web scraping tool. With our advanced web scraper, extracting data is as easy as clicking the data you need.