Turn Any Website Into
Structured Data Pipelines.
Automatically.
Citrusiq extracts web data, structures it with AI, and delivers it to your systems — on schedule, without manual work or broken scrapers.
< 10s
pipeline start
1,000s
records per run
Early
access open now
→ Built for AI teams, sales orgs, and research teams moving fast with data
Trusted by teams building AI products
< 10s
pipeline start time
1,000s
records per pipeline run
Any
website supported
0
scrapers to maintain
Early
access — now open
The Problem
Your data exists. Getting to it is the hard part.
Manual collection doesn't scale.
Hundreds of hours. Copy-paste. Spreadsheets. Still not fast enough.
Raw web data is unusable.
Raw HTML and PDFs are unusable in analytics or AI models. Someone has to clean it — and that's always you.
Custom scrapers break constantly.
Every site update breaks your scraper. Engineering is on-call for infrastructure that shouldn't need engineers.
How It Works
Build your first data pipeline
in minutes.
No engineers. No brittle scrapers. Three steps from URL to structured data flowing into your systems.
Connect any website.
Paste a URL. Citrusiq analyzes the page structure, maps extractable fields, and initializes a pipeline — no code required.
detected fields
AI turns raw pages into clean data.
AI models extract entities, normalize fields, and convert messy HTML into structured, schema-enforced datasets. Zero manual cleanup.
<div class="profile">
<h1>Acme Corp</h1>
<span>Software · 340…</span>
<a href="acme.io">…</a>
</div>
{
"name": "Acme Corp",
"industry": "Software",
"size": 340,
"domain": "acme.io"
}
Send structured data wherever you need it.
Push to your API, webhook, database, or AI pipeline on a schedule. Your data is always fresh, always in the right place.
→ Pipelines start in under 10 seconds · No code required · Runs on schedule automatically
How It Works
From raw web to automated AI systems.
Point it at any website.
Authentication, pagination, JavaScript rendering, anti-bot measures — the extraction engine handles all of it. You just give it a URL.
{ "source": "linkedin.com",
"pages": 847,
"records_found": 24180,
"js_rendered": true,
"status": "extracting" }
AI turns chaos into schema.
Raw HTML, PDFs, and messy unstructured content go in. Clean, typed, deduplicated datasets come out — ready for your data warehouse, AI model, or downstream workflow.
{ "company": "Acme Corp",
"domain": "acme.com",
"employees": 2400,
"funding_stage": "Series B",
"tech_stack": ["React", "AWS"] }
Then let agents take over.
Intelligent workflows trigger on data changes, schedules, or AI-detected events. CRM updates. Competitor alerts. Training dataset deliveries. All automatic.
✓ crm:update acme.com → HubSpot
✓ alert:send pricing_change detected
✓ dataset:push 2,400 rows → S3
✓ workflow:complete 3 tasks done
The Platform
See exactly what runs your data.
Monitor every pipeline, inspect output records, and manage automation schedules — all from one dashboard.
Pipelines
Run stats
Records
2,400
extracted
Duration
6.8s
this run
Enriched
462
matched
Errors
0
clean run
Next run
in 4h 12m
scheduled · daily
Live pipeline monitoring
Watch extractions run in real-time with full log output and stage-by-stage status.
Structured data output
Every record is schema-enforced, deduplicated, and ready to query or export.
Schedule & automate
Set pipelines to run on a cron schedule or trigger them via API or webhooks.
Capabilities
Everything you need to automate at scale.
Extract from any website. At scale.
Our extraction engine handles JavaScript rendering, authentication, pagination, and anti-bot measures automatically. Point it at a URL. Get structured data back.
$ citrusiq extract linkedin.com/company/*
● JS rendering: enabled
● Auth: session-cookie injected
● Pages: 847 queued
✓ Extracting 24,180 records...
AI that actually structures the data.
LLM-based field extraction, deduplication, classification, and entity recognition — all configurable via schema. Raw content in. Typed datasets out.
{ "name": "Jane Smith",
"role": "VP Engineering",
"company": "Acme Corp",
"verified_email": "j.smith@acme.com",
"confidence": 0.97 }
Structured Data Pipelines
Build and schedule reliable pipelines that deliver clean data to your warehouse, API, or AI system — on your schedule.
Workflow Automation
Replace repetitive manual tasks with intelligent automated workflows. Trigger actions based on data changes, schedules, or AI-detected events.
AI Agents
Deploy autonomous AI agents that research, monitor, and act on web data continuously — from lead enrichment to competitor tracking.
Data for Generative AI
Build high-quality training datasets, RAG knowledge bases, and real-time data feeds for your AI applications and language models.
Everything you need to go from raw web to structured data pipelines.
Explore all featuresUse Cases
Built for teams that move fast with data.
Find and enrich thousands of leads before your coffee's done.
Connect Citrusiq to LinkedIn, company directories, and funding databases. Enriched prospect lists — verified roles, firmographics, contact context — delivered straight to your CRM every morning.
1,000s
leads enriched per run
~6s
per pipeline run
0
engineers required
Market Intelligence
Competitor pricing, product launches, and market signals — monitored automatically.
Competitor Monitoring
Every pricing change, feature update, and job posting — instant alerts when it happens.
AI Training Datasets
Domain-specific web content, cleaned and structured for training and fine-tuning LLMs.
Automated Outreach
Web data + AI agents = personalized outreach at scale, without the manual work.
Research Automation
Company profiles, financial signals, news — structured reports delivered on demand.
Used by sales, AI, product, and research teams worldwide.
See customer workflowsReal Workflows
See how teams actually use it.
“Every morning, freshly enriched leads arrive in HubSpot — verified roles, company sizes, tech stacks. The sales team stopped manually researching prospects. Citrusiq runs overnight and the pipeline fills itself.”
Lead Research Automation
Sales & Growth Team
Hours
saved per analyst/day
“Dataset preparation dropped from six weeks to three days. The ML team now collects domain-specific web content at scale, cleaned and structured, pushed directly to their training pipeline without touching a scraper.”
AI Training Data Collection
AI & ML Team
6wk → 3d
dataset prep time
“Competitor pricing pages, feature announcements, and job postings — all monitored daily. When anything changes, Citrusiq fires an alert and updates the shared intelligence dashboard before anyone even opens Slack.”
Competitor Intelligence
Product & Strategy Team
< 60s
change detection
“Analysts stopped spending mornings reading news. Company profiles, funding rounds, and market signals are pulled nightly, structured, and formatted into clean reports that are waiting in their inbox by 8am.”
Market Research Automation
Research & Finance Team
4 hrs
saved per analyst/day
Customer Results
Real pipelines. Real outcomes.
See how teams use Citrusiq to automate data workflows, cut manual effort, and build reliable pipelines.
Thousands of enriched leads. Every morning. Zero effort.
Manually collecting lead data from LinkedIn and company directories took hours per analyst per day and relied on brittle custom scrapers that broke on every site update.
Citrusiq pipelines pull company data, verify roles, and push enriched records directly to HubSpot on a nightly schedule — no engineering on-call required.
1,000s
leads enriched per run
Hours
saved per analyst/day
0
scrapers maintained
Competitor pricing updates every hour. Not every quarter.
Tracking pricing changes across hundreds of competitor pages required constant scraper maintenance and still produced stale data that was hours or days behind.
Citrusiq monitors product pages on an hourly schedule, detects changes automatically, and pushes structured diff reports to a shared Slack channel and internal dashboard.
Hourly
pricing refresh rate
< 60s
change detection time
100%
scraper maintenance cut
Training datasets in days, not months.
Building domain-specific training datasets from web sources required weeks of engineering effort — custom scrapers, manual cleaning, inconsistent schemas, and constant re-runs.
Citrusiq extracts structured content from target domains, normalizes entity fields, and delivers schema-consistent datasets directly to the training pipeline on demand.
1,000s
structured records/run
Days
not weeks, to build
0
manual cleaning steps
Market intelligence waiting in your inbox at 8am.
Analysts spent the first 2 hours of every day manually reading news, pulling company signals, and formatting reports — time that should be spent on analysis, not collection.
Citrusiq pipelines pull funding rounds, company filings, and news signals nightly, structure them into consistent reports, and deliver formatted summaries before the workday starts.
4 hrs
saved per analyst/day
Daily
automated report cadence
12+
data sources unified
Join the early access program.
Citrusiq is currently onboarding early teams building automated data pipelines. Get access, help shape the platform, and work directly with the founders.
No commitment required · Limited spots available · Free to start
Get Started
Kill your scrapers.
Ship data instead.
Talk to our team and see how Citrusiq replaces your manual data processes with automated, AI-powered pipelines.
No commitment. Team responds within 24 hours.
< 10s
pipeline start time
1,000s
records per run
0
scrapers to maintain
Any
website — supported
$ citrusiq init --source linkedin.com
✓ source connected
✓ schema detected (23 fields)
✓ AI processing: enabled
→ first pipeline run: 09:14:02
✓ 2,400 records → warehouse
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