AI Tool

Mindcase Review

Mindcase provides APIs that enable users to power AI agents with structured web data from over 25 sources, including LinkedIn, Google Maps, and Amazon.

shipped Aug 21, 2026codepaid

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Why it matters

1Offers programmatic access to 100 data collection agents across 31+ platforms.

2Raised ₹1.5 crore (approximately $164K - $165.72K) in pre-seed funding in February 2026.

3Supports over 50 digital platforms and has processed over 1 billion records.

4Operates on a prepaid-credits model with pricing per delivered result, e.g., $0.004 per LinkedIn employee.

About Mindcase

Business Model

Usage-Based (Pay Per Use)

Pricing Plans

LinkedIn Company Employees

$0.004/employee

• Employees with title, location & profile URL.

Google Maps Places

$0.004/place

• Places with ratings, reviews, hours & contact.

Amazon Products

$0.0015/product

• Products with price, rating & review counts.

LinkedIn Profiles API

$0.004/profile

• Extract complete LinkedIn profiles.

Twitter / X Tweets API

$0.00025/tweet

• Extract tweets from Twitter by handle or keyword.

LinkedIn Posts API

$0.002/post

• LinkedIn posts extraction.

Reddit Posts API

$0.0001/result

• Extract Reddit posts from subreddit.

Instagram Posts & Reels API

$0.002/post

• Extract Instagram media.

Instagram Comments API

$0.0005/comment

• Extract top Instagram comments.

Cost Examples

• Extract 1 LinkedIn employee: ~$0.004
• Extract 1 Google Maps place: ~$0.004
• Extract 1 Amazon product: ~$0.0015

API Docs

Specs

API Docs

View Documentation →

API Available

Yes, public API

overview

What is Mindcase?

Mindcase is an AI-powered market intelligence platform developed by Kritish Puri and Saurabh Shubham that enables businesses to transform unstructured web and consumer data into actionable insights. It provides automated web data extraction tools, utilizing hundreds of proprietary AI agents and workflows to collect structured information from various online platforms, including e-commerce sites, business directories, review sites, social media (Instagram, LinkedIn, YouTube), Amazon, and Google. Founded in 2024, the Gurugram-based startup aims to simplify how companies access and utilize market and consumer intelligence.

features

Key Features of Mindcase

Mindcase offers a suite of features designed to provide structured web data and market intelligence. Its core functionality revolves around AI-powered data extraction and processing, making complex web data accessible for business analysis.

AI-powered Agentic Workflows: Utilizes hundreds of proprietary AI agents to convert unstructured data into analysis-ready insights.
Extensive Data Source Coverage: Programmatic access to 100 data collection agents across 31+ platforms, supporting over 50 digital platforms including Instagram, LinkedIn, YouTube, Amazon, and Google.
Self-Serve SaaS Platform: Provides a platform for users to access and manage data extraction tasks independently.
Diligence-Ready Datasets: Delivers clean, analysis-ready datasets for market mapping and strategic decision-making.
API Access: Offers a variety of APIs for extracting specific information from platforms like LinkedIn, Google Maps, and Amazon.
Usage-Based Pricing Model: Charges per delivered result, allowing scalability without subscription fees.

use cases

Who Should Use Mindcase?

Mindcase is primarily designed for businesses and professionals who require structured web data and market intelligence for strategic decision-making. Its capabilities extend to various departments and roles within an organization.

Strategy and Business Teams: For real-time external intelligence on market, product, consumer, and go-to-market signals.
Market Intelligence Analysts: To track competitive landscapes, including thousands of SKUs, and gain insights from consumer data.
Sales and Marketing Professionals: For powering AI agents for lead generation and data enrichment.
E-commerce Businesses and Researchers: To support e-commerce strategies and general research by delivering clean, analysis-ready datasets.
Psychologists and Psychology Clinics: For session transcription, drafting clinical summaries and treatment plans, identifying recurring patterns, and acting as a clinical assistant reasoning over transcripts and clinical libraries.

how to use

How to Use Mindcase

Mindcase operates on a prepaid-credits model, allowing users to top up their balance and consume credits when running agents. The platform provides API documentation for integration and direct access to its self-serve SaaS interface.

1Access the Mindcase self-serve SaaS platform or integrate via API.
2Top up your credit balance, as pricing is usage-based per delivered result.
3Select the desired data collection agent for platforms like LinkedIn, Google Maps, or Amazon.
4Initiate data extraction tasks to collect structured information.
5Utilize the delivered, analysis-ready datasets for market intelligence or other business needs.
6Refer to the API documentation at https://www.mindcase.co/api for technical integration details.

pricing

Mindcase Pricing & Plans

Mindcase employs a prepaid-credits model, where users purchase credits that are consumed when running data extraction agents. There are no recurring subscriptions or auto-renewals; users only pay for the top-ups they choose to make. Pricing is determined per delivered result, with costs varying based on the specific agent used and the volume of data extracted. Unused credits remain in the user's balance. Refunds or credits are issued for charges resulting from Mindcase errors, duplicate charges, or failed top-ups.

LinkedIn Company Employees: $0.004 per employee
Google Maps Places: $0.004 per place
Amazon Products: $0.0015 per product
LinkedIn Profiles API: $0.004 per profile
Twitter / X Tweets API: $0.00025 per tweet
LinkedIn Posts API: $0.002 per post
Reddit Posts API: $0.0001 per result
Instagram Posts & Reels API: $0.002 per post
Instagram Comments API: $0.0005 per comment

Pros

+Provides structured web data from over 50 digital platforms, including social media and e-commerce sites.
+Utilizes hundreds of proprietary AI agents for automated data extraction and insight generation.
+Offers a flexible usage-based pricing model, eliminating subscription fees and auto-renewals.
+Delivers clean, analysis-ready datasets suitable for immediate business decision-making.
+Supports a wide range of use cases, from market intelligence to lead generation and specialized psychological assistance.
+Raised ₹1.5 crore in pre-seed funding, indicating investor confidence and plans for platform expansion.

Cons

−Specific user reviews and detailed testimonials are not extensively available in public search results.
−The prepaid-credits model may require users to actively manage their balance to avoid service interruptions.
−While covering many platforms, it may not offer the same level of custom scraper development flexibility as platforms like Apify.
−The platform is relatively new, founded in 2024, with 6 employees as of July 2026, which might imply a smaller support or development team compared to established competitors.

Policies

Pricing Page

View Pricing→

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Mindcase vs Competitors

Mindcase positions itself against traditional research cycles, overloaded internal data teams, and rigid dashboards from off-the-shelf vendors by offering direct access to reliable external data structured for immediate analysis. It emphasizes delivering clean, analysis-ready datasets tailored to specific needs with automated end-to-end workflows and customized coverage.

ApifyOn Stork

Offers a platform to build, run, and scale web scrapers (Actors), including many pre-built ones for popular sites like LinkedIn, Google Maps, and Amazon, and provides an API to access their structured data.

Apify provides a more comprehensive platform for web scraping, allowing for custom scraper development and hosting, whereas Mindcase focuses purely on providing pre-built APIs for specific data sources. You gain flexibility and a strong free tier but might need to configure or build some scrapers yourself for highly specific needs.

SerpApiOn Stork

Specializes in real-time, structured JSON results from various search engines, including Google Search, Google Maps, and others, making it ideal for extracting search-related data.

SerpApi is highly specialized in search engine data, offering very reliable and structured results for queries like Google Maps data, which is one of Mindcase's offerings. You give up the broader range of non-search-engine specific data sources that Mindcase covers.

ScrapingRobot↗

Provides a general-purpose web scraping API with built-in proxy rotation and JavaScript rendering, alongside specific APIs for Google Search and Google Maps, delivering structured data.

ScrapingRobot offers a good balance of a general scraping API and specific endpoints for Google data, similar to Mindcase, with a generous free tier. It might require more manual parsing for highly complex, non-search-engine specific sites compared to Mindcase's pre-structured outputs for a wider range of sources.

Zenserp↗

Delivers real-time, structured JSON data from various search engines, including Google Search, Images, Shopping, and Maps, with a focus on speed and accuracy.

Zenserp is a direct competitor to SerpApi, focusing on structured search engine results, including Google Maps data, which is a key offering of Mindcase. It provides a similar service to SerpApi but might have different pricing tiers or specific features, making it a good alternative if search engine data is the primary need.

See every Mindcase alternative, compared→

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Connect

LinkedInwww.linkedin.com/company/mindcase/