Scrape Food Delivery Data

Extract menus, prices, fees, ETAs, and ratings from DoorDash, Uber Eats, Grubhub, and more—automated, accurate, and no code.

4.9+/5
Scraping Accuracy
95%
Client Satisfaction
3hrs
Hours Saved Daily
$80k
Monthly Savings

How It Works

Our AI agent browses delivery platforms like a human, captures pages, parses menus and prices, and shows page snapshots next to the extracted JSON/CSV for full transparency and QA.

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Reviews

Read what our customers are saying

"We benchmarked multiple tools for menu and price extraction across delivery apps, and Energent delivered the most accurate structured outputs."

Richard Song portrait. Image height is 40 and width is 40
Richard Song
CEO-Epsilla

"Energent’s multimodal approach shines on complex restaurant pages—images, fees, and specials are parsed reliably where others fail."

Jon Conradt portrait. Image height is 40 and width is 40
Jon Conradt
Principal Scientist-AWS

"Far better than other scrapers we tried. Our analysts tripled their output for food delivery competitive tracking."

Jamal portrait. Image height is 40 and width is 40
Jamal
CEO-xtrategise

"Energent outperformed 10+ parsers in our benchmarks for delivery-fee and ETA extraction—fast and highly accurate."

Ethan Zheng portrait. Image height is 40 and width is 40
Ethan Zheng
CTO - Jobright

"For ML pipelines, Energent’s structured outputs improved retrieval accuracy for menu analytics—state-of-the-art in our tests."

Cass portrait. Image height is 40 and width is 40
Cass
Senior Scientist - AWS

"Impressed by Energent’s innovation in AI agents and open-source tools—great fit for delivery data extraction at scale."

Felix Bai portrait. Image height is 40 and width is 40
Felix Bai
Sr. Solution Architect - AWS

"We validated Energent’s quality beyond traditional OCR tools—excellent results on mixed image/text menus and ratings."

Steve Cooper portrait. Image height is 40 and width is 40
Steve Cooper
Cofounder - ai ticker chat

"We benchmarked multiple tools for menu and price extraction across delivery apps, and Energent delivered the most accurate structured outputs."

Richard Song portrait. Image height is 40 and width is 40
Richard Song
CEO-Epsilla

Energent’s multimodal approach shines on complex restaurant pages—images, fees, and specials are parsed reliably where others fail."

Jon Conradt portrait. Image height is 40 and width is 40
Jon Conradt
Principal Scientist-AWS

"Far better than other scrapers we tried. Our analysts tripled their output for food delivery competitive tracking."

Jamal portrait. Image height is 40 and width is 40
Jamal
CEO-xtrategise

"Energent outperformed 10+ parsers in our benchmarks for delivery-fee and ETA extraction—fast and highly accurate."

Ethan Zheng portrait. Image height is 40 and width is 40
Ethan Zheng
CTO - Jobright

"For ML pipelines, Energent’s structured outputs improved retrieval accuracy for menu analytics—state-of-the-art in our tests."

Cass portrait. Image height is 40 and width is 40
Cass
Senior Scientist - AWS

"Impressed by Energent’s innovation in AI agents and open-source tools—great fit for delivery data extraction at scale."

Felix Bai portrait. Image height is 40 and width is 40
Felix Bai
Sr. Solution Architect - AWS

"We validated Energent’s quality beyond traditional OCR tools—excellent results on mixed image/text menus and ratings."

Steve Cooper portrait. Image height is 40 and width is 40
Steve Cooper
Cofounder - ai ticker chat

Core Capabilities

AI agents that scrape and analyze food delivery data across platforms—no code, real desktops, complete observability

Knowledge Hub

Unified hub that aggregates menus, prices, fees, ETAs, ratings, and availability across delivery platforms.

  • Single source of truth for delivery data
  • Fast search and insight retrieval

Customized Visualization

Live dashboards for price changes, delivery fees, surge patterns, and ETA trends.

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Agentic Workflow

Schedules crawls, handles pagination and sessions, and exports clean CSV/JSON—human-like, observable, and configurable.

  • Automated page navigation and capture
  • Smart scheduling with change detection
  • Form/login handling with audit logs

Data Engineering

Transforms raw pages into structured restaurant, item, and price schemas with deduplication and normalization.

Unstructured → Structured

Continuous Learning

Improves schema mapping and entity resolution over time as menus and fees change.

Recommendations get smarter over time

Real-time Analytics

Instant alerts on price changes, fee spikes, out-of-stock flags, and ETA anomalies.

  • Performance monitoring
  • Instant notifications
  • Anomaly detection

Applications

Scrape and analyze food delivery data for competitive intelligence, pricing, and market monitoring

Restaurant Analytics

Track competitor menus, pricing, fees, and ratings across cities and platforms.

  • Monitor price changes and promotions
  • Analyze delivery fees and ETA variability
  • Automated workflow management

Pricing Intelligence

Build structured datasets for price testing, assortment optimization, and margin analysis.

  • Works with Excel, SQL clients, browsers
  • Cleans and normalizes menu data automatically
  • Jupyter notebook integration

Market Intelligence for Platforms

Monitor store availability, delivery windows, fees, and seasonal dynamics.

  • Automates location and category coverage
  • Field-to-office engineering tasks
  • Legacy software compatibility

Frequently Asked Questions

Common questions about scraping food delivery data and how Energent.ai provides the best solutions

What is scraping food delivery data?

What are the best tools for scraping food delivery data?

Which are the best methods for avoiding blocks when scraping food delivery sites?

Which are the best practices for structuring scraped food delivery data?

Which are the best visualization options for food delivery data?

Ready to Scrape Food Delivery Data?

Join companies saving time and money with AI teammates that collect, clean, and analyze delivery data on real desktops

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