Market Research API
Monitor reviews, track competitor content, and analyze trends at scale. AlterLab returns clean markdown output optimized for LLM analysis — feed directly to your research pipeline without manual cleaning. From $0.0002/request.
Collect Research Data — Feed to LLM
AlterLab returns clean markdown. Pass it directly to your analysis pipeline.
import requests
# Get competitor reviews as markdown
response = requests.post(
"https://api.alterlab.io/v1/scrape",
headers={"X-API-Key": api_key},
json={
"url": "https://g2.com/products/competitor",
"formats": ["markdown", "json"],
}
)
markdown = response.json()["data"]["markdown"]
# Send to LLM for analysis# Daily industry trend feed
sources = [
"https://news.ycombinator.com",
"https://reddit.com/r/MachineLearning",
"https://competitor.com/blog",
]
batch = requests.post(
"https://api.alterlab.io/v1/batch",
headers={"X-API-Key": api_key},
json={
"urls": sources,
"formats": ["markdown"],
}
)Building a Market Research Data Pipeline
Collect, clean, and analyze web data with LLMs — automatically.
Define Research Sources
Map your information landscape: review platforms (G2, Capterra, Trustpilot), industry news (TechCrunch, vertical publications), competitor websites, Reddit communities, and analyst reports. AlterLab treats each URL the same — no per-domain configuration, no proxy management.
Collect Clean Markdown Output
Request markdown format for LLM-ready output. AlterLab strips navigation, ads, and boilerplate — returning only the substantive content. A 50KB product review page becomes 5KB of clean, structured markdown that costs a fraction of the token budget to process.
Analyze with LLMs
Feed the markdown to GPT-4, Claude, or any LLM with a research prompt. Extract sentiment scores, identify feature requests, compare competitor positioning, or summarize emerging trends. AlterLab's consistent output makes prompts reusable across different sources without per-site tuning.
Build Trend Timelines
Schedule weekly or daily batch runs to build longitudinal datasets. Compare how competitor messaging, customer sentiment, or feature mentions change over time. Trigger alerts when sentiment drops, a competitor adds a feature, or a topic starts trending in your market.
Market Research Use Cases
What analysts and product teams build with AlterLab.
Review Intelligence
Monitor your product and competitor reviews across G2, Capterra, and Trustpilot. Track rating trends, surface common complaints, and identify feature gaps.
Competitive Positioning Analysis
Track competitor landing pages, pricing, and messaging weekly. Detect when they add features, change pricing, or shift positioning before your customers notice.
Consumer Sentiment Tracking
Monitor Reddit, Twitter, and community forums for brand mentions and sentiment signals. Identify emerging issues before they escalate.
Industry Trend Monitoring
Aggregate industry news, analyst reports, and technical publications into a daily digest. Feed to an LLM for trend identification and strategic implications.
Share of Voice Analysis
Track how often your brand vs. competitors appear in relevant publications, communities, and review platforms over time.
Product Feedback Mining
Extract and categorize feature requests, pain points, and workarounds from app stores, support forums, and community discussions.
Market Research API — FAQ
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Other Use Cases
Price monitoring, lead generation, AI data — see all AlterLab use cases.
Pricing
From $0.0002/request. No subscriptions. Balance never expires.
Your first scrape.
Sixty seconds.
$1 free balance. No credit card. No SDK.
Just a POST request.
No credit card required · Up to 5,000 free scrapes · Balance never expire