Use Cases
Real-world playbooks for job market intelligence, RAG pipelines, legal compliance, healthcare data, and financial research automation.
21 articles
Building a Legal & Regulatory Intelligence Pipeline with Court Records, Federal Rules, and Contract Data
Track case law, new federal regulations, and government contract awards automatically. A step-by-step guide to wiring three public-data scrapers into a
The Economic Data Stack: GDP, Trade Flows, and Open Government Data as Clean JSON
Build a macroeconomic intelligence pipeline from authoritative open data. World Bank indicators, bilateral trade flows
Building an Academic Research Data Stack: Crossref, OpenAlex, and Citation-Aware RAG
How to assemble a literature-review and research-intelligence pipeline from open scholarly data. Search 150M+ works, map citation networks
The Healthcare Data Stack: Providers, Clinical Trials, and FDA Safety Signals
Build a healthcare intelligence pipeline from authoritative public data. Look up providers via the NPI Registry, track trials on ClinicalTrials.gov
Literature Reviews and R&D Intelligence at Scale with the OpenAlex Scraper
Search 250M+ research papers from OpenAlex as structured JSON — authors, citations, venues and abstracts
Monitor Federal Regulations: A Compliance Watch with the Federal Register API
Build an automated regulatory watch with the Federal Register Scraper — rules, proposed rules, notices and executive orders as structured JSON
Automate FDA Recall Monitoring for Drugs, Devices and Food
Build an automated FDA recall watch with the openFDA enforcement data — drug, device and food recalls as structured JSON, filtered by classification
Build a Clinical Trial Pipeline Tracker with the ClinicalTrials.gov Scraper
Track any drug, sponsor or indication across ClinicalTrials.gov as structured JSON — phases, sponsors, enrollment and sites
Federal Contract Intelligence: Track Government Awards with the USAspending API
How to mine USAspending.gov for competitor wins, re-compete timing and B2G leads — using the USAspending Federal Awards Scraper.
Building a Job Market Intelligence Dashboard with Free ATS Data
How to build a real-time hiring dashboard that tracks roles, skills demand, and company hiring velocity using public Greenhouse, Lever, and Ashby APIs.
How to Monitor Competitor Job Postings to Predict Their Strategy
Job postings are the most honest signal of a competitor's roadmap. Learn how to track ATS boards automatically and turn hiring data into strategic
Web Scraping for AI Training Data: Legal, Technical, and Quality Considerations
The complete guide to collecting web-scraped training data for AI models — what is legally permissible, which technical approaches produce quality data
Recruitment Automation: Building a Job Intelligence Pipeline with Free ATS Data
How to use public Greenhouse, Lever, and Ashby APIs to build automated job monitoring, salary benchmarking
Use Reddit Data to Train and Evaluate LLMs with Claude as the Curator
How to collect high-quality Reddit conversations with the Apify Reddit Scraper and use Claude to filter, clean
Using Google Trends to Find Untapped SEO Opportunities in 2025
A step-by-step framework for using Google Trends data to identify rising keywords before they get competitive
Reddit Data for LLM Fine-Tuning: Quality, Licensing, and What Actually Works
Everything you need to know about using Reddit data for model training and fine-tuning — data quality patterns, filtering strategies
Social Media Data for AI: Reddit, Threads, and the Open Web
Where to get social media data for LLM training, fine-tuning, and RAG pipelines. A developer-focused breakdown of what is accessible, what it costs
How to Build a Competitor Intelligence System Using Web Scrapers
A practical guide to building automated competitor monitoring — pricing, job postings, content, and review tracking
India Tech Hiring Trends 2025: What the Job Data Actually Shows
We analyzed 50,000+ Naukri job postings to surface real patterns in India tech hiring — which skills are surging, which cities are growing
Using Google Trends Data for Market Research: A Developer's Playbook
How to extract actionable market intelligence from Google Trends — keyword validation, seasonal demand forecasting
Reddit Sentiment Analysis Pipeline: From Raw Posts to Actionable Insights
How to build a production sentiment analysis pipeline using Reddit data — scraping, preprocessing, classification