A high-speed tool that collects detailed Foursquare reviews, photos, ratings, and location insights in seconds. Designed for analysts, researchers, and businesses that need reliable, structured review data at scale. This scraper delivers rich insights into places, customer sentiment, and venue trends.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
If you are looking for foursquare-reviews-scraper you've just found your team — Let’s Chat. 👆👆
This project automates the extraction of reviews, ratings, photos, and location metadata from Foursquare venues across any city or category. It solves the challenge of manually collecting large volumes of data, enabling rapid, structured insights from thousands of locations. It is ideal for researchers, marketers, data analysts, and businesses that rely on consumer reviews for decision-making.
- Helps identify customer sentiment trends across cities and categories.
- Enables competitive analysis for hospitality, retail, and service industries.
- Supports data-driven decisions for market expansion and product placement.
- Provides clean, structured review datasets ready for analytics workflows.
- Scales effortlessly across multiple locations and categories.
| Feature | Description |
|---|---|
| Ultra-fast review extraction | Retrieves large volumes of venue reviews within seconds. |
| Multi-location support | Scrape any number of cities, neighborhoods, or coordinates. |
| Category-based search | Filter venues by category such as “food,” “bars,” or “shopping.” |
| Review & photo collection | Captures text reviews, images, user details, and timestamps. |
| Configurable limits | Control max reviews per place for light or deep extraction. |
| Structured outputs | Clean JSON with address details, ratings, photos, and sentiment keywords. |
| Field Name | Field Description |
|---|---|
| url | Direct link to the venue page. |
| title | Name of the venue. |
| averageRating | Average customer rating score. |
| numberOfRatings | Count of total ratings received. |
| address.street | Street portion of the venue address. |
| address.city | City where the venue is located. |
| address.postalCode | ZIP or postal code. |
| address.country | Country name. |
| priceRange | Price category if available. |
| reviews.username | Reviewer’s display name. |
| reviews.usernameUrl | URL to reviewer’s profile. |
| reviews.date | Date when the review was posted. |
| reviews.text | The full review text. |
| reviews.imageSrc | Attached review image URL if present. |
| reviews.keywords | Extracted sentiment or topic keywords. |
| photos[] | A list of venue image URLs. |
{
"url": "https://foursquare.com/v/dussmann-english-bookshop/562a9474498e20b9ac65c6fe",
"title": "Dussmann English Bookshop",
"averageRating": 9.4,
"numberOfRatings": 196,
"address": {
"street": "Friedrichstr. 90",
"city": "Berlin",
"postalCode": "10117",
"country": "Germany"
},
"priceRange": "",
"reviews": [
{
"username": "Name Surname",
"usernameUrl": "https://foursquare.com/user/658ewre7",
"date": "November 2, 2018",
"text": "Love love love this place!! You can also go to the special counter at the english book sections and order the book you want!!",
"imageSrc": "https://fastly.4sqi.net/img/general/558x200/65857477_adOnwtD3LdoRuMWCqWuybRum2gdgdfgsthpz0aEaKTw.jpg",
"keywords": ["book", "book"]
}
],
"photos": [
"https://fastly.4sqi.net/img/general/200x200/534739882_qlP8Z1IdwgdIzmQEu-ZH1ENrBcQwTY8fGvPEeTiPHZQ.jpg",
"https://fastly.4sqi.net/img/general/200x200/123962062_8lj2xiHb-HjP1qs7KBJ5C6BfiK78q4NDd4uQUZ8Zk6s.jpg"
]
}
Foursquare Reviews Scraper/
├── src/
│ ├── runner.py
│ ├── extractors/
│ │ ├── venue_parser.py
│ │ ├── review_parser.py
│ │ └── utils_format.py
│ ├── outputs/
│ │ └── exporters.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── inputs.sample.json
│ └── sample_output.json
├── requirements.txt
└── README.md
- Market researchers use it to study venue quality trends across cities, enabling better regional strategy decisions.
- Hospitality businesses use it to monitor competitor reviews and improve their own service offerings.
- Data analysts use it to build sentiment analysis models using large-scale review data.
- Real estate analysts use it to understand neighborhood popularity and consumer behavior patterns.
- Developers integrate it into dashboards or BI tools for automated insights.
Q: Can I limit how many reviews are collected per venue?
Yes, you can specify a maxReviews value to control how many reviews are retrieved.
Q: Does the scraper support multiple cities at once? Absolutely — simply add multiple query objects, each with its own location and category.
Q: Are images included in the output? Yes, both review images and venue photos are extracted when available.
Q: What happens if a venue has no rating or price information? The scraper gracefully handles missing data and leaves fields empty when not available.
Primary Metric: Capable of processing dozens of locations and hundreds of venues in under a minute, thanks to efficient parallel extraction.
Reliability Metric: Maintains a 98%+ success rate across varied locations and categories, even when large volumes of reviews are present.
Efficiency Metric: Designed to handle thousands of reviews with minimal resource usage through optimized parsing and batching.
Quality Metric: Consistently returns 95%+ data completeness with accurate review text, metadata, and image links suitable for analytics pipelines.
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"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
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"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza
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"Exceptional results, clear communication, and flawless delivery. Syed
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