Use Cases
Real-world playbooks for job market intelligence, RAG pipelines, legal compliance, healthcare data, and financial research automation.
33 articles
Bundesanzeiger Scraper: German Company Filings Without a Data Subscription
Pull German company filings from the Bundesanzeiger by name: annual accounts, insolvency proceedings, ad hoc disclosures and voting rights notices. No login, no API key.
Find Any US Importer's Overseas Suppliers From Customs Records
US customs bill of lading records name who ships to whom. How to pull an importer's overseas suppliers, shipment volumes and HTS codes without a trade data subscription.
Amazon Retail Price vs AliExpress Supplier Cost: The Sourcing Check in One Call
Pull an Amazon listing's retail price and reviews against real AliExpress supplier prices in one call, and read what the sourcing spread tells you.
Federal Contracts, Campaign Finance & UK Company Records as Structured JSON (No Login)
Three official government data sources, SAM.gov contract opportunities, FEC campaign finance, and UK Companies House, turned into clean JSON APIs for GovCon capture, compliance, and political research. No browser, no login, pay only for results delivered.
Five Scholarly Databases in One Call: OpenAlex, Crossref, arXiv, PubMed and OpenCitations
One call across OpenAlex, Crossref, arXiv, PubMed and OpenCitations: works, preprints, biomedical abstracts, citation graphs, and every output field.
Reddit Data for Market Research After the API Changes: What Still Works in 2026
Reddit locked down its API: enterprise-only commercial access, no self-serve pricing, and the old .json endpoints gone. Here are the working options for market research teams, with honest costs.
I Automated My AI Job Hunt: 8 Tools, One Claude Agent, Under $1
Most job hunting is spent on the wrong problem. Here is the exact end-to-end flow: find who is actually hiring, rank by real fit, research the company, find the human, and write an application grounded in facts, run entirely from Claude via MCP.
Ask an AI for a Company's SEC CIK and It Will Lie to You. Here Is the Fix.
An AI that remembers is not an AI that verifies. This is the exact diligence flow: legal identity from GLEIF, filings from EDGAR, funding, engineering activity and hiring, run from Claude via MCP, grounded in real registries, for about sixteen cents a company.
Stop Cold Pitching: Find Local Businesses With a Problem You Can Actually Fix, Under $4
Cold outreach fails because it is generic. Here is the exact flow: build a prospect universe, diagnose the real problem from their own reviews, qualify who can pay, find the human, and pitch with evidence, run entirely from Claude via MCP. No code.
Sourcing Without a Recruiter Seat: 8 Tools, One Claude Agent, Under $1 a Role
A LinkedIn Recruiter seat costs thousands a year and still leaves you sending InMails nobody answers. Here is the full sourcing flow: longlist by real requirements, enrich, read the push and pull signals, see who you are bidding against, and reach a real address, run from Claude via MCP for about 84 cents a role.
I Validated a Business Idea in 48 Hours by Mining 1-Star Reviews
Asking friends if they like your idea is not validation. The real signal is what people already pay for and still hate. Here is the exact flow: demand, unprompted complaints, funded incumbents, and the 1-star review clusters that become your product spec, run entirely from Claude via MCP.
Short-Term Rental Market Research: Using Airbnb Data for Dynamic Pricing
How STR hosts and investors use Airbnb comp data to benchmark nightly rates, spot underpriced markets and adjust pricing by season and neighborhood.
The B2B Lead Generation Stack: Maps Leads, Website Contact Finder, and Email Verification
A three-step pipeline that finds local businesses, fills in missing contacts, and verifies every email before a cold outreach campaign goes out.
The Real Estate Data Stack: Combining Zillow, Redfin, and Realtor.com for Full Market Coverage
No real estate portal has complete listing coverage or every field you need. Here's how to architect a pipeline combining Zillow, Redfin, and Realtor.com data.
Building a Real Estate Investor Deal-Sourcing Pipeline with Claude and Redfin
How to wire the Redfin Scraper into Claude as an MCP tool so an investor can ask for undervalued properties by price, beds, and metro in plain language.
Real Estate Agent Lead Lists: Extracting Contact Data from Redfin and Realtor.com
Build agent and brokerage lead lists by scraping Redfin and Realtor.com listings together, deduping agents across both sources for wider coverage.
Building a Review Monitoring Pipeline: Trustpilot Business Search to Reviews in One Workflow
Chain Trustpilot Business Search into the Reviews Scraper to go from a category search to full review data for every company found, in one Python workflow.
Building a Comps Report: Zillow Recently Sold Data for Accurate CMAs
How to pull recently-sold Zillow comps by ZIP, filter by beds and square footage, and calculate price-per-sqft for a defensible comparative market analysis.
Twitter / X Data Without the API: Scraping Public Tweets by Keyword or Handle
How to collect tweets from X (Twitter) without a paid API subscription: keyword search, hashtag tracking and profile timelines using a browser-based scraper.
YouTube Transcripts for RAG and LLMs: No API Key Required
How to fetch timestamped YouTube captions as clean JSON and feed them into a vector database or LLM context window, without a Google API key or quota.
SEC EDGAR Filings Use Cases: Financial Research, RAG Pipelines, and Compliance Monitoring
SEC EDGAR holds 30 years of public company filings. Here is who pulls them programmatically, what they build with the data, and why structured JSON beats raw XBRL.
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.
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. Track their ATS boards automatically and turn hiring data into strategy.
Web Scraping for AI Training Data: Legal, Technical, and Quality Considerations
A guide to collecting web-scraped AI training data: what is legally permissible and which technical approaches produce quality data.
Recruitment Automation: Building a Job Intelligence Pipeline with Free ATS Data
How to use the public Greenhouse, Lever and Ashby APIs to build automated job monitoring and salary benchmarking for recruiting teams.
Using Google Trends to Find Untapped SEO Opportunities in 2025
A step-by-step framework for using Google Trends data to spot rising keywords before they get competitive.
Reddit Data for LLM Fine-Tuning: Quality, Licensing, and What Actually Works
How to use Reddit data for LLM training and fine-tuning: quality patterns, filtering strategies, preference pairs and evaluation sets.
Social Media Data for AI: Reddit, Threads, and the Open Web
Where to get social media data for LLM training, fine-tuning and RAG, with what is accessible on each platform and what it costs.
How to Build a Competitor Intelligence System Using Web Scrapers
How to build automated competitor monitoring with web scrapers: pricing, job postings, content and review tracking in one pipeline.
India Tech Hiring Trends 2025: What the Job Data Actually Shows
What 50,000+ Naukri job postings show about India tech hiring: which skills are surging and which cities are growing.
Using Google Trends Data for Market Research: A Developer's Playbook
How to turn Google Trends data into market research you can act on, from keyword validation to seasonal demand forecasting.
Reddit Sentiment Analysis Pipeline: From Raw Posts to Actionable Insights
How to build a production sentiment analysis pipeline on Reddit data, from scraping and preprocessing to classification.