Webparsers

Webparsers

WebParsers OÜ
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About

Diggernaut is a cloud-based service for web scraping, data extraction, and other ETL (Extract, Transform, Load) tasks. If you are a reseller of goods and your supplier does not let you have their data in a suitable format, such as Excel or CSV, you are forced to retrieve data from their website manually. All you need to do is to create a digger, a tiny robot that can do web scraping on your behalf and extract data from websites for you, normalize it and save data to the cloud. Once it’s done, you can download it in CSV, XLS, JSON format or even retrieve it using our Rest API. Product prices and other related information, reviews and ratings from retailer sites. Different types of events happen in different locations of the world. News and headlines from different news agencies' websites. Different government data and reports (police, sheriff, fire depts.). Even obtain court-related documents.

About

Webparsers is a web data extraction and scraping platform for businesses and data teams. It provides scraper APIs and managed data collection to gather information from websites, monitor changes, and deliver results in formats such as XLSX, CSV, JSON, and Google Sheets. Teams use collected data for competitor and price monitoring, product and stock availability analysis, lead and company research, job and property listings, reviews, and market research. The service supports one-time, scheduled, or near-real-time extraction, with custom pipelines and data feeds for ongoing collection and structured delivery. Developers can access API endpoints and an MCP server, while organizations without dedicated scraping resources can request a tailored data solution. Webparsers serves e-commerce, analytics, and other business teams that turn publicly available online information into usable datasets and competitive insights.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Companies and professional seeking a solution to turn website content into datasets

Audience

Travel, hospitality, and eCommerce businesses seeking web data and competitive intelligence to improve pricing, monitor competitors, and identify revenue opportunities.

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$9.99 per month
Free Version Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • I find it helpful to compare how the same hotel is priced across different booking channels. It gives us a better view of how our offers compare for specific travel dates and helps us identify potential rate parity issues that may need further investigation. Having the information organized also makes our pricing reviews more consistent.
  • What I find most useful is having competitor room rates organized in one place. It makes rate shopping easier because we can compare hotel prices across different online travel agencies and check-in dates without manually visiting each platform. Being able to share screenshots with our hotel contracting teams also makes it easier to discuss pricing differences and follow up on specific cases.
  • The most useful aspect for us is being able to compare delivery fees and estimated arrival times across different locations. Product prices alone do not tell the whole story; a competitor offering faster delivery or lower delivery fees can be more attractive to customers. Having this information available gives us a better basis for evaluating our service against competing options.

Cons

  • Promotional offers and member-only prices can make comparisons less straightforward. More visibility into the conditions attached to each rate, such as eligibility requirements and booking restrictions, would make the comparisons more useful.
  • Rate comparisons still require some attention when room types, cancellation policies, or meal plans differ. It would be helpful to have these details displayed more prominently so that differences between offers are easier to identify.
  • Some location-level data can be missing, particularly when monitoring multiple delivery apps across a large number of postal codes. Better coverage visibility and clearer indications of missing data would help us identify gaps more quickly.

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Supported

Company Information

Diggernaut
Founded: 2016
United States
www.diggernaut.com

Company Information

WebParsers OÜ
Founded: 2024
Estonia
webparsers.com

Alternatives

Alternatives

Hexomatic

Hexomatic

Hexact
Lobstr.io

Lobstr.io

Lobstr

Categories

Data Extraction Supported
Web Scraping Supported
Web Scraping APIs Supported

Categories

Web Scraping APIs Supported

Data Extraction Features

Disparate Data Collection Not Supported
Document Extraction Supported
Email Address Extraction Supported
Image Extraction Supported
IP Address Extraction Supported
Phone Number Extraction Supported
Pricing Extraction Supported
Web Data Extraction Supported

Integrations

Google Sheets Not Supported
Model Context Protocol (MCP) Not Supported

Integrations

Google Sheets Supported
Model Context Protocol (MCP) Supported
Claim Diggernaut and update features and information
Claim Diggernaut and update features and information
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