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Foursquare Scraper API

Turn any Foursquare venue or place search into structured JSON: name, category taxonomy, coordinates, popularity, user tips, photos, and attributes.

Business profilesReviews & ratingsSearch resultsPhotos & hours
▸ Overview

Foursquare powers a rich places graph with a detailed category taxonomy, crowd-sourced tips, and venue attributes used across location apps. The Foursquare Scraper API resolves venue pages and place searches into validated JSON with precise coordinates, the category hierarchy, popularity signals, user tips, photos, and hours.

It's aimed at location-intelligence, mapping, and POI-enrichment teams that need consistent venue attributes rather than long-form reviews. Place searches return ranked nearby results with full pagination, and the category taxonomy lets venues be filtered and segmented precisely.

Foursquare 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.foursquare.com/",
  "type": "business",
  "geo": "us"
  }'

// ← response
{
  "status": "ok",
  "data": {
    "name": "...",
    "rating": 4.4,
    "review_count": 1320,
    "category": "...",
    "address": "...",
    "phone": "...",
    "reviews": [ { "rating": 5, "text": "…", "author": "…" } ]
  }
}
"type": "business", "geo": "us"
▸ What you can extract

Every public field, structured for you.

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

Business profile

  • Name, category, description, claim status
  • Address, coordinates, phone, website
  • Aggregate rating and review count
  • Logo and cover imagery

Reviews

  • Review text, rating, author, date
  • Owner responses and helpful votes
  • Rating distribution and review images
  • Full review pagination, sortable

Ratings & sentiment

  • Average rating over time
  • Rating breakdown by star
  • Review velocity and recency

Search results

  • Ranked businesses per query + location
  • Category and rating filters
  • Sponsored vs. organic flag
  • Pagination across result pages

Hours & attributes

  • Opening hours and special hours
  • Service options and amenities
  • Photos by category
▸ Built on the Crawlzo engine

The hard parts, already solved.

▸ What teams build with it

Common use cases.

[ 01 ]

Points-of-interest (POI) enrichment

[ 02 ]

Location-intelligence and footfall context

[ 03 ]

Category-taxonomy mapping

[ 04 ]

Venue tips and sentiment mining

▸ FAQ

Foursquare 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.

FOURSQUARE DATA · ON TAP

Start pulling Foursquare data this week.

Tell us the Foursquare 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