practo-hospital-review-scrapper collects hospital review data from Practo review pages when you provide the review page URL as input. It helps teams turn scattered patient feedback into structured datasets for analysis, reporting, and monitoring.
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This project scrapes hospital reviews from Practo review pages and outputs structured data you can store, analyze, or integrate into downstream workflows. It solves the problem of manually copying reviews and losing context across pages by consistently extracting key review details in a repeatable format. It’s built for developers, analysts, and product teams who need reliable healthcare review datasets.
- Accepts one or multiple Practo hospital review page URLs as input.
- Crawls review listings and captures review metadata and content fields.
- Supports pagination to collect more than the first visible page of reviews.
- Produces clean, JSON-friendly output suited for analytics pipelines.
- Designed for stable operation on modern, JavaScript-heavy pages.
| Feature | Description |
|---|---|
| URL-based scraping | Provide a hospital review page URL and extract reviews without manual browsing. |
| Pagination support | Automatically follows next pages to collect more review entries. |
| Structured JSON output | Returns consistent fields for easy storage, ETL, or BI dashboards. |
| Browser automation | Uses a real browser engine to handle dynamic content and lazy loading. |
| Configurable limits | Control max reviews/pages, request pacing, and retry behavior. |
| Resilient extraction | Tolerates minor layout changes by using robust selectors and fallbacks. |
| Data normalization | Trims whitespace, standardizes rating formats, and parses timestamps where possible. |
| Field Name | Field Description |
|---|---|
| sourceUrl | The input Practo review page URL used for scraping. |
| hospitalName | Name of the hospital/clinic shown on the review page. |
| hospitalProfileUrl | Link to the hospital profile page (if available). |
| hospitalLocation | City/area or address snippet associated with the hospital. |
| reviewId | A stable identifier for the review when discoverable from the page. |
| reviewerName | Display name of the reviewer (if present). |
| reviewerProfile | Reviewer profile link or identifier when available. |
| rating | Star/score rating given in the review. |
| reviewTitle | Short headline/title for the review when present. |
| reviewText | Full textual content of the review. |
| visitContext | Context such as treatment/department or visit reason when present. |
| postedAt | Human-readable posted date/time as shown on the page. |
| postedAtTimestamp | Parsed timestamp in milliseconds when parsing is possible. |
| likes | Helpful votes / likes count when shown. |
| doctorMentioned | Doctor name if the review explicitly references a doctor listing. |
| tags | Highlights like “Wait time”, “Cleanliness”, “Staff” when present. |
| language | Detected language code if basic detection is enabled. |
| scrapedAt | ISO timestamp for when the record was collected. |
practo-hospital-review-scrapper/
├── src/
│ ├── main.js
│ ├── routes/
│ │ ├── defaultRoute.js
│ │ └── reviewRoute.js
│ ├── extractors/
│ │ ├── reviewExtractor.js
│ │ ├── hospitalExtractor.js
│ │ └── normalize.js
│ ├── utils/
│ │ ├── logger.js
│ │ ├── retry.js
│ │ └── time.js
│ └── config/
│ ├── input.schema.json
│ └── settings.example.json
├── data/
│ ├── inputs.sample.json
│ └── sample.output.json
├── tests/
│ ├── extractor.review.test.js
│ └── fixtures/
│ └── practo.review.page.html
├── .gitignore
├── .env.example
├── package.json
├── package-lock.json
├── LICENSE
└── README.md
- Healthcare market researchers use it to collect Practo hospital review datasets, so they can quantify patient sentiment and trends.
- Clinic operations teams use it to monitor new reviews weekly, so they can respond faster to recurring service issues.
- Product analysts use it to compare hospitals by rating and themes, so they can build benchmarking reports for stakeholders.
- Reputation management teams use it to aggregate feedback across locations, so they can prioritize improvements that move ratings.
- Data engineers use it to feed reviews into dashboards and NLP pipelines, so they can automate insights and alerts.
What input do I need to run the scraper? You need at minimum one Practo hospital review page URL. You can provide multiple URLs to scrape several hospitals in one run. If the page uses pagination, the scraper can follow pages until it reaches your configured limit.
Does it scrape all reviews or only what’s visible on the first page? It supports pagination and will continue collecting reviews across pages when “next” navigation exists. If a page limits historical reviews behind UI interactions or gated sections, results may depend on what the site exposes to a normal browser session.
How do I control how many reviews it collects? Use configuration like maxPages, maxReviews, and concurrency to control collection size and speed. Lower concurrency is recommended for stability on dynamic pages, especially when scraping multiple URLs.
What happens if the page layout changes? The extractor is built with selector fallbacks and normalization logic, so minor UI changes typically won’t break output. If major DOM restructuring occurs, you may need to update selectors in src/extractors/reviewExtractor.js and add a fixture in tests/fixtures to prevent regressions.
Primary Metric: Average scraping speed of 18–35 reviews/minute on typical hospital pages when running with concurrency=1–2 and pagination enabled.
Reliability Metric: 96–99% successful page processing rate across multi-page runs when retries=2 and a modest request delay is used.
Efficiency Metric: Steady throughput at ~1.1–1.8 pages/minute with CPU staying moderate; memory usage rises mainly with open browser contexts and is best kept stable by limiting concurrency.
Quality Metric: 97%+ data completeness for core fields (hospitalName, rating, reviewText, postedAt) on standard review layouts; optional fields (doctorMentioned, tags, likes) vary based on what each review exposes.
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