Prompt or API access
Mindcase exposes structured web data through either prompt or API usage, with a console for starting runs and managing access.
Mindcase
Mindcase is a web data API and console for extracting structured data from websites and major platforms, with prompt or API access and prepaid per-record billing.
What Mindcase does
Mindcase is a web data platform for retrieving structured information from websites and online platforms. It offers prompt-based access and an API, with a catalog of pre-built scrapers for sources such as Amazon, LinkedIn, Google Maps, Instagram, Crunchbase, Reddit, Twitter/X, YouTube, and Facebook.
The product is designed for users who need clean rows of web data without building or maintaining their own scrapers. Its API documentation describes an asynchronous run-and-poll workflow, while the pricing page shows prepaid, per-record billing with no seats or recurring plan structure.
Core features
Large catalog of source-specific APIs
The site highlights 75+ pre-built scrapers across major sources including Amazon, LinkedIn, Google Maps, Instagram, Crunchbase, and others.
Run-and-poll API workflow
The API workflow is asynchronous: you start a job, poll for completion, and receive structured rows in the results response.
API-key authentication
The skills file describes bearer-token authentication using a Mindcase API key for non-public endpoints.
Per-record prepaid billing
Pricing is based on records returned from prepaid wallet credit, rather than seat-based plans.
Common use cases
Automated data collection
Build agents or internal tools that need structured rows from platforms like LinkedIn, Google Maps, or Amazon without engineering and maintaining custom scrapers.
Structured data extraction
Pull source-specific records such as profiles, posts, places, reviews, or products into spreadsheets, databases, or downstream workflows.
Batch web data jobs
Run repeatable data jobs where teams need a clear start, poll, and results pattern rather than manual browsing.
Task-based API selection
Use the console and API catalog to find the right task-specific agent before sending the required inputs and retrieving the output rows.
Pros and Cons
Pros
- Offers structured web data from many common platforms in one product.
- Supports both prompt-based usage and direct API access.
- Provides a large catalog of pre-built, source-specific scrapers.
- Uses prepaid wallet credit with no seats and no expiry stated on credits.
- Publishes task-specific APIs with concrete output fields, which makes the returned data easier to work with.
Cons
- The public site gives only partial documentation for many workflows, so some setup details need to be checked in the API docs or support materials.
- The API uses an asynchronous run-and-poll flow, which is practical for batch jobs but less immediate than a synchronous response.
FAQ
How do you use Mindcase?
Mindcase provides structured web data through either prompt-based usage or its API. The site also offers a console for getting an API key and starting runs.
How is Mindcase priced?
The pricing page says Mindcase is priced per record using prepaid wallet credit, with no plans, no seats, and no expiry on credits.
Does Mindcase return data immediately?
The site documents an asynchronous workflow for the API: start a run, poll for results, and then read the returned rows. The skills file notes that every call requires an API key.
How do you get help with a failed run?
The support page says users can contact support by email or phone, and for run-specific issues they should include the run ID.
Quick Facts
- Category
- Web data API
- Primary surface
- Website console and API
- Auth
- Bearer API key for API access
- Billing model
- Prepaid wallet credit, priced per record
- Pricing structure
- No plans, no seats, no expiry stated
- Source domain
- mindcase.co
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