Parseur is a leading email parsing software for Small and Medium Businesses (SMBs). Use Parseur to create a workflow and automate text extraction from emails, attachments and documents and put your business on auto-pilot. Setup is easy as everything is point & click and intuitive. Send parsed data to hundreds of applications in real time via our integrations with Zapier, Microsoft Flow, Integromat and GetSwift.
Companies in real estate, e-commerce, marketing, logistics & delivery, travel, hospitality and more are saving thousands of work hours every month by automating their data entry process with Parseur.
Categories | |
---|---|
Website | parseur.com |
Pricing URL | Official Parseur.com Pricing |
Details $ | freemium $59.0 / Monthly (1000 emails parsed per month) |
Platforms | |
Release Date | 2016-12-11 |
Categories | |
---|---|
Website | octoparse.com |
Pricing URL | Official Octoparse Pricing |
Details $ | - |
Platforms | |
Release Date | - |
I've been playing around with different scraping tools in the past month, trying to find the best one to help with my research project, and I have to say this new feature of auto-detection comes like a life-savor. I only need to give the software the link and it will auto-detect the content and build the crawler for me. I can even enjoy it with just a free plan!
DocParser - Extract data from PDF files & automate your workflow with our reliable document parsing software. Convert PDF files to Excel, JSON or update apps with webhooks.
import.io - Import. io helps its users find the internet data they need, organize and store it, and transform it into a format that provides them with the context they need.
Email on Acid - We make the send button safer. For every campaign, every message, and every inbox, Email on Acid has the time-saving tools you need to put your best email forward.
Apify - Apify is a web scraping and automation platform that can turn any website into an API.
Webhose.io - Webhose.
ParseHub - ParseHub is a free web scraping tool. With our advanced web scraper, extracting data is as easy as clicking the data you need.