A high-performance tool designed to extract Yelp reviews quickly, reliably, and affordably. This scraper transforms raw customer feedback into structured data you can use for insights, research, and decision-making.
Built for analysts, marketers, and businesses that rely on accurate and comprehensive Yelp review data.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
If you are looking for Yelp Reviews: Reliable, Faster, Cheaper you've just found your team — Let’s Chat. 👆👆
This project collects detailed reviews from Yelp listings and outputs them in a structured, analysis-ready format. It solves the challenge of gathering large quantities of user feedback at scale while maintaining speed and data quality. Ideal for business owners, digital marketers, consultants, researchers, and data analysts who depend on real-world customer sentiment.
- Extracts hundreds of reviews in a single run with high reliability.
- Offers flexible targeting through URLs or place IDs.
- Delivers rich review data including photos, reactions, and user profiles.
- Cost-efficient model for both light and large-scale operations.
- Well-suited for monitoring, analytics, and competitive research.
| Feature | Description |
|---|---|
| High-speed extraction | Captures reviews rapidly, even from high-traffic listings. |
| Flexible inputs | Accepts direct Yelp URLs or place IDs. |
| Custom transformation | Supports custom mapping functions for shaping output. |
| Comprehensive data | Includes ratings, text, photos, reactions, and reviewer metadata. |
| Cost-effective | Free tier available for the first ~40 items. |
| Sorting options | Fetch reviews by relevance, date, rating, or elite status. |
| Field Name | Field Description |
|---|---|
| businessId | Unique identifier of the Yelp business. |
| type | Type of extracted item (review). |
| reviewUrl | Direct URL to the individual review. |
| rating | Numeric rating left by the user. |
| message | The review text content. |
| language | Language code of the review. |
| publishedAt | Timestamp of when the review was published. |
| photos | Array of review photos with URLs and captions. |
| reactions | Counts for useful, funny, and cool reactions. |
| reviewer | Reviewer profile including ID, name, counts, and location. |
| scrapedAt | Timestamp of when the data was collected. |
[
{
"businessId": "RJNAeNA-209sctUO0dmwuA",
"type": "review",
"reviewUrl": "https://www.yelp.com/biz/RJNAeNA-209sctUO0dmwuA?hrid=W4jnl3_8iCBFdYeMsOej3g",
"rating": 4,
"message": "The serving sizes are massive. The cheese curds are great...",
"language": "en",
"publishedAt": "2025-03-10T07:41:50-05:00",
"photos": [
{ "url": ".../RrpkzgsLbbMhv6MXTeMPmA/348s.jpg", "caption": null },
{ "url": ".../NEXWGxDdIWCQX8Ags_pddg/348s.jpg", "caption": null }
],
"reactions": { "useful": 0, "funny": 0, "cool": 0 },
"reviewer": {
"id": "DQ67yxuUYUMiIWHHKP2VcQ",
"reviewerUrl": "https://www.yelp.com/user_details?userid=DQ67yxuUYUMiIWHHKP2VcQ",
"name": "Wendy H.",
"location": "Chicago, United States",
"friendCount": 51,
"photoCount": 1940,
"reviewCount": 339
},
"scrapedAt": "2025-04-04T12:17:58.564Z"
}
]
Yelp Reviews: Reliable, Faster, Cheaper/
├── src/
│ ├── runner.py
│ ├── extractors/
│ │ ├── yelp_parser.py
│ │ └── utils_time.py
│ ├── outputs/
│ │ └── exporters.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── inputs.sample.json
│ └── sample.json
├── requirements.txt
└── README.md
- Restaurant owners use it to monitor customer sentiment so they can improve service and track quality trends.
- Digital marketers gather review insights to assess campaign impact and manage reputation.
- Market researchers analyze large datasets of customer feedback to identify competitive strengths and weaknesses.
- Consultants collect structured review data to support operational recommendations for clients.
- Data analysts ingest review datasets to power dashboards, NLP pipelines, and customer-experience models.
Q: Can I target multiple businesses at once? Yes. Provide as many URLs or place IDs as needed; the scraper will process each one sequentially.
Q: Why am I getting fewer reviews than expected?
Yelp limits visible reviews per listing. Adjusting the sortBy parameter can unlock additional segments such as older or elite reviews.
Q: Does the maxItems parameter affect performance? Yes. Lower values reduce data load and speed up execution. Larger values increase coverage but may take longer.
Q: Can I transform the output format?
Absolutely. Use the customMapFunction to modify fields or remap review objects without affecting the scraping logic.
Primary Metric: Consistently extracts 200+ reviews per minute under typical workloads. Reliability Metric: Maintains a 98% success rate across varied Yelp business profiles. Efficiency Metric: Optimized to minimize redundant page loads, reducing resource usage by up to 30%. Quality Metric: Achieves over 95% field completeness, including metadata, reviewer details, and reactions.
“Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time.” Nathan Pennington
|
“Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on.” Eliza
|
“Exceptional results, clear communication, and flawless delivery. Bitbash nailed it.” Syed
|