
ScrapingBee
Apify
Scraper API
Zyte
Scrapy
Bright Data
Firecrawl
Web Scraper
AlwaysData
OpenShift
CloudStack
Docker Compose
Cast.ai
CenturyLink Cloud
Encore.dev
Cycle.io
Web Scraping is hard, scraping at scale can be very challenging.
You have to handle:
ScrapingBee is a simple API that does all the above for you, and much more.
ScrapingBee
AlwaysDataBased on our record, ScrapingBee seems to be more popular. It has been mentiond 3 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.
If youโre worried about the security risks, edge cases, maintenance pain and scaling challenges of self hosting there are various solid hosted alternatives: - https://browserless.io - low level browser control - https://scrapingbee.com - scraping specialists - https://urlbox.com - screenshot specialists* Theyโre all profitable and have been around for years so you can depend on the businesses and the tech. *... - Source: Hacker News / over 1 year ago
If you really just need the data you can use something like https://scrapingbee.com to scrape the info from the various price pages to make sure your info is always up to date. Source: over 3 years ago
Well done! And posting here was a great idea. Not sure I would have found scrapingbee.com otherwise. We will probably become a customer. Signed up for the trial account. Source: about 4 years ago
Apify - Apify is a web scraping and automation platform that can turn any website into an API.
OpenShift - OpenShift gives you all the tools you need to develop, host and scale your apps in the public or private cloud. Get started today.
Scraper API - Scale Data Collection with a Simple API.
CloudStack - Apache's CloudStack is a Project backed by Citrix and designed to be a direct competitor to...
Zyte - We're Zyte (formerly Scrapinghub), the central point of entry for all your web data needs.
Docker Compose - Define and run multi-container applications with Docker