Use Cases
Real-world playbooks for job market intelligence, RAG pipelines, legal compliance, healthcare data, and financial research automation.
46 articles
Amazon Retail Price vs AliExpress Supplier Cost: The Sourcing Check in One Call
Before you sell a product, you want to know what it costs to source. Here is how to pull an Amazon listing's retail price and reviews against real AliExpress supplier prices in a single call, and what the spread actually 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
A literature scan means five sources with five query languages and five response shapes. Here is how to pull published works, canonical metadata, preprints, biomedical hits and a citation graph for one topic in a single call, and which source to trust for what.
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.
The Deal-Screening Agent: Read an Entire Metro Every Morning for 82 Cents
You are refreshing Zillow by hand and doing real comp work on maybe three houses a week. Here is the exact flow — screen every listing in a metro, pull what similar homes actually sold for, read every price cut, and surface only the few worth a second look — run 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.
Automated Reputation Monitoring: Schedule Trustpilot Scans and Get Alerted to New Reviews
Set up a scheduled Trustpilot scraper that catches new reviews as they land — monitor your own brand or a competitor's without checking the site by hand.
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.
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.
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.
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.
ATS Jobs Scraper Use Cases: Hiring Intelligence, Competitor Tracking, and Job Aggregation
Greenhouse, Lever, Workday, and Ashby publish job boards with no authentication. Here is who pulls that data, what they build, and why the ATS layer matters more than job boards.
RAG Crawler Use Cases: Who Needs Website-to-Markdown Conversion and Why
RAG Crawler converts any website into chunked, token-counted markdown. Here are the teams that use it, what they build, and why pre-chunked output matters for LLM pipelines.
Reddit Scraper Use Cases: Market Research, Product Feedback, and LLM Datasets
Reddit holds unfiltered opinions from millions of people. Here are the teams that scrape it, what they build with the data, and why pay-per-result pricing changes the economics.
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.
Threads Scraper Use Cases: Brand Monitoring, Influencer Research, and Social Data
Meta Threads has no public API. This is who scrapes it, what data they extract, and how they use it for social listening, creator research, and marketing intelligence.
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