Webparsers

Webparsers

WebParsers OÜ
5.0 out of 5 stars
datawebot

datawebot

Revenue Scaler
+
+

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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.

About

datawebot is a hosted ecommerce product-data API for developers, data teams, and AI agent builders. It searches products across online stores, compares seller offers and prices, and retrieves structured product records from supported retailer and brand pages, including Amazon and Walmart. The service provides a REST API, an MCP server for compatible AI tools, and a command-line interface for scripts and agent workflows. Results include retrieval timestamps so users can see when the data was collected. Accounts start with 200 free credits without a card, and additional usage is available through one-time credit packs. Users can repeat requests on their own schedule through an agent, cron, or GitHub Actions; datawebot does not schedule runs or store price history.

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

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

Audience

Developers, data teams and AI agent builders who need ecommerce product and price data from online shops.

Support

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

Support

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

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

No information available.
Free Version Not Supported
Free Trial Supported

Pricing

$10 one-time
Accounts include 200 free credits, and no card is required to start. One-time packs start at $10 for 10,000 credits. Credits do not expire, and no subscription is required.
Free Version Not Supported
Free Trial Supported

Reviews/Ratings

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

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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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 Not Supported
Live Online Not Supported
In Person Supported

Training

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

Company Information

WebParsers OÜ
Founded: 2024
Estonia
webparsers.com

Company Information

Revenue Scaler
Founded: 2026
Singapore
www.datawebot.com

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Categories

Web Scraping APIs Supported

Categories

Web Scraping APIs Supported

Integrations

Model Context Protocol (MCP) Supported
ChatGPT Not Supported
Claude Not Supported
Claude Code Not Supported
Cursor Not Supported
Google Sheets Supported
OpenAI Codex Not Supported

Integrations

Model Context Protocol (MCP) Supported
ChatGPT Supported
Claude Supported
Claude Code Supported
Cursor Supported
Google Sheets Not Supported
OpenAI Codex Supported
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