Business Contact Enrichment — Instantly Get Name, Title, Email, Phone & LinkedIn Profile

Unlock Unlimited Data Potential for Your AI

CoreClaw provides scalable AI data acquisition capabilities, enabling you to collect structured training data from the public web via Workers—supporting a wide range of AI use cases.

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200+ pre-built Workers
No coding required
Automatic data cleaning and deduplication
Pay only for successful results

AI Solutions to Power Your Data Strategy

We offer three core AI data solutions to support different business needs and provide comprehensive data pipelines for your AI systems.

AI video data preview

AI Video Data

Extract structured video data (e.g., titles, descriptions, views, comments) from video platforms using Workers—serving as a reliable source of data for AI.

Key Features

  • Video metadata extraction
  • User engagement data collection
  • Multi-platform video data support

Use Cases

  • Video dataset creation
  • User behavior analysis
  • Multimodal training data preparation
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Generative AI

Collect structured data (text, images, etc.) from websites and social media platforms to serve as foundational training data for generative models.

Key Features

  • Long-form text and corpus extraction
  • Field-level data extraction and customization
  • Multi-source data aggregation

Use Cases

  • LLM training data collection
  • Content generation model training
  • Multi-source dataset construction
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Generative AI data preview
Machine learning dataset preview

Machine Learning

Use Workers to collect large-scale datasets from eCommerce platforms, social media, and other public sources—serving as input for machine learning pipelines.

Key Features

  • Multi-source data collection (web, eCommerce, social platforms)
  • Structured field-level extraction
  • Scalable dataset generation

Use Cases

  • Recommendation system inputs
  • Preprocessing for classification and labeling
  • Machine learning dataset collection
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Powering the Full AI Data Lifecycle

CoreClaw focuses on delivering reliable data for AI through a standardized pipeline—helping teams continuously generate stable data inputs.

Data source integration workflow

Why Choose CoreClaw for AI Data?

We’re building a reliable and easy-to-use data infrastructure to continuously fuel your AI systems and LLMs with high-quality data.

Worker-powered data collection icon

Worker-Powered Data Collection

Leverage 200+ pre-built Workers to execute scraping tasks, automatically bypass anti-bot mechanisms and ensure high success rates—providing reliable data for AI training.

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AI-Ready Data Structure

All collected data is organized into structured fields (e.g., titles, prices, ratings, content), making it directly usable for model training and fine-tuning.

Multi-platform data coverage icon

Multi-Platform Data Coverage

Collect data from eCommerce platforms, maps, social media, job boards, and more—helping build comprehensive datasets for diverse AI applications.

No-code setup icon

No-Code Setup

No need to manage proxies, anti-bot logic, or scraping infrastructure—simply run Workers to complete the entire data collection process.

Scalable data collection icon

Scalable Data Collection

From small-scale testing to large-scale data acquisition, easily scale your data collection by running batch tasks within Workers.

Pay for results icon

Pay-for-Results Pricing

Only pay for successfully extracted data—eliminating unnecessary costs from failed requests and making AI data acquisition more predictable.

Loved by Our Customers

Real feedback from Used by teams worldwide

"We used to spend hours manually copying contacts from Google Maps. Now it takes 5 minutes. Collecting contacts and info from Google Maps manually is reduced from hours to minutes, powering cold outreach and saving your team 10+ hours weekly."

Olivia Carter
Olivia Carter
Sales Director
B2B Marketing Agency

"Finally a price tracking tool that works. We monitor ~500 SKUs on Amazon. Had some rate limit issues at first, but support sorted it out. Would be great if they add Shopee."

William Clark
William Clark
E-commerce Manager
Cross-border E-commerce

"Not a developer, so building scrapers was always a pain. These Workers are pretty plug-and-play. CSV export fits right into my pipeline. Took a bit to learn the scheduling, but now it just runs."

Daniel Lewis
Daniel Lewis
Data Analyst
Market Research Firm

Frequently Asked Questions