DocParser
FlexiCapture
Amazon Textract
Docsumo
Parseur.com
IBM Datacap
ABBYY FineReader
Altair Monarch
Scrapy
Apify
Scraper API
ParseHub
Octoparse
Portia
import.io
Zyte
DocParser ScrapyBased on our record, Scrapy should be more popular than DocParser. It has been mentiond 93 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.
You could try an online service like https://extract-io.web.app/ or https://docparser.com/. Source: 11 months 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: 12 months 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: about 1 year 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: about 1 year 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 1 year 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 / 5 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 / 10 months ago
I know this might not be a good answer, as it's not .NET, but we use https://scrapy.org/ (Python). Source: 11 months ago
Take a look at Scrapy. It has a fairly advanced throttling mechanism for you to not get banned. Source: 11 months ago
Not only Windows, you can also use it on Mac and Linux too. But for Python and CLI, you can use scrapy. Source: 12 months ago
FlexiCapture - ABBYY FlexiCapture brings together the best NLP, machine learning, and advanced recognition capabilities into a single, enterprise-scale platform to handle every type of document. Available in the Cloud, on premise or as SDK.
Apify - Apify is a web scraping and automation platform that can turn any website into an API.
Amazon Textract - Easily extract text and data from virtually any document using Amazon Textract. Textract goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables.
Scraper API - Easily build scalable web scrapers
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
ParseHub - ParseHub is a free web scraping tool. With our advanced web scraper, extracting data is as easy as clicking the data you need.