Webparsers

Webparsers

WebParsers OÜ
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About

ScrapeBadger is a web scraping API platform specialising in Twitter/X, Reddit and Google data, with dedicated scrapers also covering TikTok, YouTube, LinkedIn, Amazon, eBay, Zillow and 40+ more: with built-in anti-bot bypass and an MCP server for AI agents. Handles Cloudflare, DataDome, Akamai, Imperva, PerimeterX, and Kasada automatically. No proxy management, no CAPTCHA solving, no broken scripts. Every scraper returns clean structured JSON. Failed requests are never charged. Covers social media, Google (18 products), e-commerce (Amazon, eBay, Vinted, Leboncoin, Depop), and real estate (Zillow, Redfin, Realtor, Idealista, Immobiliare, LoopNet). MCP server connects all scrapers to AI agents including Claude, ChatGPT, and Cursor. Official Node.js and Python SDKs.

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

Developers, data engineers, and growth teams scraping social media, search engines, e-commerce, and real estate platforms for lead generation, market research, price intelligence, and ML 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 Not Supported
24/7 Live Support Supported
Online Supported

Support

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

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$10/month
ScrapeBadger offers two pricing models.

Pay-as-you-go — buy credits from $10, no commitment, credits never expire. $0.15 per 1,000 credits.

Subscriptions — Starter $49/mo (600K credits), Growth $129/mo (1.8M credits), Pro $299/mo (5M credits), Scale $699/mo (13M credits). Per-credit cost drops up to 64% versus PAYG. Annual billing includes 2 free months.

All plans include every scraper, residential proxies, and anti-bot bypass. Failed requests are never charged. New accounts get 1,000 free credits, no credit card required.
Free Version Not Supported
Free Trial 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:

Review this Software

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 Not Supported
Live Online Not Supported
In Person Not Supported

Training

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

Company Information

ScrapeBadger
Founded: 2025
Lithuania
scrapebadger.com

Company Information

WebParsers OÜ
Founded: 2024
Estonia
webparsers.com

Alternatives

Alternatives

Lobstr.io

Lobstr.io

Lobstr

Categories

AI Web Scrapers Supported
Data Extraction Supported
Web Scraping Supported
Web Scraping APIs Supported

Categories

Web Scraping APIs Supported

Integrations

Model Context Protocol (MCP) Supported
Amazon Supported
Google Supported
Google Sheets Not Supported
LinkedIn Supported
Reddit Supported
TikTok Supported
X (Twitter) Supported
YouTube Supported
Zillow Supported
eBay Supported

Integrations

Model Context Protocol (MCP) Supported
Amazon Not Supported
Google Not Supported
Google Sheets Supported
LinkedIn Not Supported
Reddit Not Supported
TikTok Not Supported
X (Twitter) Not Supported
YouTube Not Supported
Zillow Not Supported
eBay Not Supported
Claim ScrapeBadger and update features and information
Claim ScrapeBadger and update features and information
Claim Webparsers and update features and information
Claim Webparsers and update features and information