Hotels.com
Booking.com
Agoda
Airbnb
Expedia
KAYAK
Tripadvisor
trivago
DocParser
Nanonets
Parseur.com
Rossum
Docsumo
FlexiCapture
DocuClipper
Parsio.io
Hotels.com DocParserBased on our record, Hotels.com seems to be a lot more popular than DocParser. While we know about 527 links to Hotels.com, we've tracked only 14 mentions of DocParser. 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.
So which domains does this work for? Because it doesn't work with: https://hotels.com/ https://trivago.ca/ https://www.ca.kayak.com/ http://agoda.com/. - Source: Hacker News / over 1 year ago
In the wild: "Have a question?" feature on Hotels, "QnaBot" on Amazon. - Source: dev.to / almost 2 years ago
I use both hotels.com and also booking.com mostly for booking accomodation but its also 100% worth using trivago site to search and see if anywhere else has the same hotel cheaper (This has saved me loads in the past) its not a great site I find for searching hotels in a region, Use hotels and booking for that then use trivago to price comparison it. Source: over 2 years ago
To answer a couple of your questions, there are plenty of roadside motels near the National Parks. I usually use hotels.com or google to determine which chains are where and book directly with the hotel. Source: over 2 years ago
Search on hotels.com or tripadvisor or other places to find things in your price range. You might have to stay outside of Manhattan, and before you book make sure to research commute times from the potential hotels to the places you want to visit. Source: over 2 years ago
You could try an online service like https://extract-io.web.app/ or https://docparser.com/. Source: about 3 years ago
DocParser: DocParser simplifies the extraction of structured data from various file formats, such as PDFs and scanned documents, directly into Google Sheets. By automating this process, DocParser saves valuable time and effort otherwise spent on manual data entry. Link to DocParser. Source: about 3 years ago
There are several tools available today that can help you extract tables from PDF files (such as Tabula), or even parse PDFs into structured JSON using AI (like Parsio -> I'm the founder) or without AI (like Docparser). Source: over 3 years ago
Thank you for sharing those! I didn't know them I've only checked this one https://docparser.com/ and I think my solution could be better because it will be easier for the user. Source: over 3 years ago
As previously suggested, if the layout of your PDFs never changes (consistent column widths in tables and placement), you can use a zonal PDF parser like DocParser. Alternatively, an AI-powered parser may be a better choice. Source: over 3 years ago
Booking.com - Find your next stay. Search deals on hotels, homes, and much more...
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNetsโ platform makes it straightforward and fast to create highly accurate Deep Learning models.
Agoda - Smarter hotel booking just got smarter.
Parseur.com - Automate text extraction from emails and PDFs by using our powerful email and document parser.
Airbnb - Book unique places to stay and things to do.
Rossum - Rossum is AI-powered, cloud-based invoice data capture service that speeds up invoice processing 6x, with up to 98% accuracy. It can be easily customized, integrated and scaled according to your company needs.