OrbitScraper workflows built around structured search data
OrbitScraper is most useful when search data becomes an input to software instead of a manual task. These use cases focus on what the current products actually return: structured SERP data, sourced research jobs, single-page extraction, and multi-page crawl output.
Start with the workflow closest to your team, grab the request pattern, and keep the response fields that fit your product or dashboard.
Explore the workflow that matches your team
Filter by team role or by the OrbitScraper product surface each workflow depends on. Only one filter stays active at a time so the grid remains easy to scan.
By role
By product
AI Agents & LLM Tooling
Ground agents with live search data, route retrieval across engines, and pass structured results or markdown directly into tool-calling workflows.
{
"q": "latest llm benchmarks 2026",
"engine": "google",
"time_period": "past_week",
"markdown": true
}Who uses this
Built for AI/ML engineers, LLM application developers, and teams building agent pipelines with LangChain, LlamaIndex, CrewAI, AutoGen, or custom tool-calling systems.
SEO Monitoring & Rank Tracking
Track rankings, intent shifts, and SERP modules across engines and locales with one normalized search contract.
{
"q": "crm software for small business",
"engine": "google",
"gl": "us",
"device": "mobile",
"num": 20
}Who uses this
Built for SEO agencies managing client portfolios, in-house SEO teams at mid-market and enterprise companies, and rank tracking SaaS platforms.
Market Research & Public Data
Turn SERP composition, people-also-ask questions, and domain movement into repeatable market intelligence inputs.
{
"q": "vector database for enterprise",
"time_period": "past_week",
"engine": "google",
"num": 20
}Who uses this
Built for product managers, startup researchers, VC and PE analysts, strategy consultants, and market intelligence platforms.
Product Search Visibility
Track which brands and product-category pages dominate high-intent queries, then pair ranked URLs with Extract API when you need page-level detail.
{
"q": "best running shoes for women 2026",
"engine": "google",
"gl": "us",
"device": "mobile",
"num": 20
}Who uses this
Built for e-commerce growth teams, retail merchandising teams, marketplace operators, and category intelligence platforms that need a repeatable view of product-related SERPs.
Content Monitoring & Topics
Track brand coverage with the news vertical and mine people-also-ask plus related searches for editorial planning.
{
"q": "YourBrand OR "Your Brand Name"",
"tbm": "nws",
"time_period": "past_day",
"num": 20
}Who uses this
Built for PR and communications teams, content strategists, editorial teams, digital media analysts, and brand monitoring platforms.
Data Enrichment for SaaS
Use SERP API to identify company presence and knowledge graph fields, then use Extract API to pull structured website content into CRM and SaaS records.
{
"q": "Acme Corp acme.com",
"engine": "google",
"num": 5,
"gl": "us"
}Who uses this
Built for CRM enrichment platforms, SaaS products that display company intelligence, marketing analytics tools, and sales intelligence software.
Ad Intelligence & Paid Search
Use commercial-query SERP monitoring to see which domains and landing pages dominate bottom-of-funnel keywords across engines and markets.
{
"q": "crm software for startups",
"engine": "google",
"gl": "us",
"device": "desktop",
"num": 10
}Who uses this
Built for PPC analysts, paid search managers, growth marketers, performance agencies, and competitive intelligence teams tracking search coverage across Google, Bing, Brave, and DuckDuckGo.
News & Media Monitoring
Use tbm=nws plus freshness filters to monitor brand coverage, publisher pickup, and story velocity in a structured API workflow.
{
"q": "\"Your Company Name\" OR yourcompany.com",
"tbm": "nws",
"time_period": "past_day",
"engine": "google"
}Who uses this
Built for PR and communications teams, brand managers, newsroom developers, media monitoring platforms, and investor relations teams tracking news coverage.
Finance & Investment Research
Combine SERP snapshots, question modules, and sourced research summaries for earnings monitoring, due diligence, and market-theme analysis.
{
"q": "NVIDIA earnings Q2 2026 analyst forecast",
"engine": "google",
"time_period": "past_week",
"markdown": true
}Who uses this
Built for fintech product teams, investment research analysts, hedge fund data teams, quantitative researchers, and financial intelligence SaaS platforms.
Recruitment & HR Tech
Track job-title demand, hiring-surge signals, and skill-related question modules across locations with one structured SERP workflow.
{
"q": "senior machine learning engineer jobs",
"engine": "google",
"location": "Singapore",
"gl": "sg",
"num": 20
}Who uses this
Built for HR technology platforms, recruitment agencies, talent acquisition teams, workforce analytics tools, and staffing firms that need programmatic access to job market signals.
Business outcomes from production teams
OrbitScraper helps teams move from manual search work to structured inputs that trigger alerts, dashboards, and faster decisions.
-> SEO Monitoring & Rank Tracking
Rank tracking automation
SEO intelligence team
Challenge: Weekly manual checks across 12,000 keywords delayed ranking insights by multiple days.
Outcome: Automated daily SERP pulls enabled same-day ranking alerts and 3.6x faster reaction time.
Recovered rankings within 48 hours on high-value terms.
-> Product Search Visibility
Competitor visibility intel
Growth research team
Challenge: Competitor launches were discovered late because monitoring depended on ad-hoc manual searches.
Outcome: Always-on engine monitoring delivered normalized competitor snapshots every hour.
Reduced competitor discovery lag from 5 days to under 2 hours.
-> Data Enrichment for SaaS
Lead enrichment at scale
Outbound operations team
Challenge: Lead qualification required manual search context gathering before each outreach sequence.
Outcome: SERP context was automatically attached to lead records before routing to sales reps.
Increased qualified outreach conversion by 27% in one quarter.
-> News & Media Monitoring
Brand mention alerts
PR & communications team · fintech scale-up
Challenge: The PR team monitored brand mentions manually through daily Google searches. Stories gaining traction were often missed until they had already gone viral.
Outcome: Automated tbm=nws pulls every two hours with Slack alerts triggered when new articles hit positions one through five.
Response time cut from hours to minutes. Zero missed brand stories in the first quarter after deployment.
Build your own OrbitScraper workflow
Start with one search or extraction job, store the structured response, and let your app do the rest.