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DoorDash Scraper API

Resolve any DoorDash store, convenience listing, or zip-code search into clean JSON: dish menus, item pricing, modifiers, delivery and service fees, DashPass flags, and ranked storefronts.

Restaurants & menusLive pricingReviews & ratingsGeo-segmented
▸ Overview

DoorDash is the dominant on-demand delivery marketplace across the United States, spanning restaurants, grocery, and convenience stores with assortments that shift by zip code. The DoorDash Scraper API turns storefronts and zip-code searches into validated JSON covering catalogs, dish prices, and fee breakdowns.

Teams use it to monitor menu coverage, benchmark fee structures, and study DashPass promotions across metros. Catalogs and surcharges are pulled live and segmented to the precise drop-off address you supply.

DoorDash Scraper API · request
# POST a target — get validated JSON back
curl https://api.crawlzo.com/v4/scrape \
  -H "Authorization: Bearer $CRAWLZO_KEY" \
  -d '{
  "url": "https://www.doordash.com/",
  "type": "restaurant",
  "geo": "us-ny"
  }'

// ← response
{
  "status": "ok",
  "data": {
    "name": "...",
    "rating": 4.5,
    "review_count": 820,
    "cuisine": "...",
    "delivery_fee": 2.99,
    "eta_min": 25,
    "menu_items": 142
  }
}
"type": "restaurant", "geo": "us-ny"
▸ What you can extract

Every public field, structured for you.

DoorDash data parsed into clean, validated JSON. Pull any group below on its own, or combine them in a single request.

Restaurant / store details

  • Name, cuisine, address, coordinates
  • Rating, review count, price level
  • Hours, delivery zone, contact
  • Photos and cover imagery

Menu & items

  • Categories, items, descriptions
  • Item price, modifiers, options
  • Dietary tags and popularity
  • Item images

Reviews & ratings

  • Review text, rating, author, date
  • Rating distribution
  • Full review pagination

Delivery & pricing

  • Delivery fee and service fee
  • Minimum order and ETA
  • Promotions and offers

Search results

  • Ranked restaurants per location
  • Cuisine, price, rating filters
  • Sponsored vs. organic flag
  • Pagination across result pages
▸ Built on the Crawlzo engine

The hard parts, already solved.

▸ What teams build with it

Common use cases.

[ 01 ]

Storefront catalog and dish-price tracking

[ 02 ]

Fee, surcharge, and DashPass benchmarking

[ 03 ]

Grocery and convenience assortment monitoring

[ 04 ]

Metro-level marketplace share studies

▸ FAQ

DoorDash scraping, answered.

Structured JSON straight from the API, or pushed to your stack natively — S3, BigQuery, Snowflake, Postgres, Kafka, or any HTTPS webhook. Call it from Python, Node, Go, Rust, or any HTTP client. The data lands where your pipeline already lives.

No. You pay for valid, schema-passing rows only. Retries, blocks, CAPTCHAs, and 5xxs are on us. If a run doesn't return data that conforms to the schema, it isn't billed.

Every request routes through the same engine behind our Web Unblocker API: compliant residential IPs, real browser fingerprints, TLS-level evasion, behaviour modelling, and built-in CAPTCHA solving. Hard targets become routine.

Yes. We respect robots policies, rate budgets, and ToS-aware allow/deny lists. We deliver and move on — no row-level retention beyond your replay window. GDPR DPA, PII redaction, and custom data residency available on request.

DOORDASH DATA · ON TAP

Start pulling DoorDash data this week.

Tell us the DoorDash surface you need and the shape you want it in. We'll come back in 24 hours with a sampled output, a scoped plan, and a price. Pilot in week one.

Pay only for data delivered99.99% uptime SLA99% success rate100M+ proxies