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4. [Travel Review Sentiment Checker](https://sharpapi.com/en/catalog/ai/travel-tourism-hospitality/travel-review-sentiment-checker)

  [ Travel, Tourism &amp; Hospitality ](https://sharpapi.com/en/catalog/ai/travel-tourism-hospitality)

  AI-powered API  

 Travel Review Sentiment Checker 
=================================

 Parses the Travel/Hospitality product review and provides its sentiment with a score between 0-100%. 
------------------------------------------------------------------------------------------------------

Parses the Travel/Hospitality product review and provides its sentiment (`POSITIVE`/`NEGATIVE`/`NEUTRAL`) with a score between 0-100%.

Ideal for developers working on travel platforms, review aggregators, or customer feedback systems. It automates the analysis of travel reviews, helping businesses understand customer experiences and improve their services. Use cases include generating sentiment reports, enhancing travel recommendations, and improving customer satisfaction by addressing negative feedback.

Great for sentiment report processing for any online travel agency.

   [ See the full solution overview, live demo and integration guide » ](https://sharpapi.com/en/solutions/ecommerce)

### Try it live — no signup needed

  Live demo  

 Paste a short text and watch this API process it in real time.

  Website 

     Parameters    Output language  English Spanish German French Polish Italian Portuguese Dutch Chinese Japanese Arabic  

 Voice tone  

 Extra context  

  Run this API      Processing…    Load example   

```

```

 That was a live API response. Get your own API key and 100,000 free trial words — no credit card required.

 [ Continue with your own API key ](https://sharpapi.com/register?from=tth_review_sentiment)  Try again  

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### AI jobs involve two key steps:

1. **Submitting the AI job:** Initiating the process by sending the job request.
2. **Monitoring and receiving results:** Continuously checking the job status and obtaining the final output upon successful completion.

---

### Related SDKs/Libraries

- Laravel 

     [ Travel Review Sentiment Checker for Laravel   ](https://github.com/sharpapi/laravel-tth-review-sentiment)
- Node.js 

     [ Travel Review Sentiment for Node.js   ](https://www.npmjs.com/package/@sharpapi/sharpapi-node-travel-review-sentiment)
- PHP 

     [ Travel Review Sentiment Analysis for PHP 8 - AI-Powered Review Analysis   ](https://github.com/sharpapi/php-travel-review-sentiment)

---

### Implement it with an AI coding agent

 An alternative to the SDKs: copy this prompt into Claude Code, Cursor or Copilot. It holds everything the agent needs to call this endpoint directly over HTTP, including authentication, request format, job polling, rate limits and error handling.

  copied = false, 2000)" class="inline-flex shrink-0 items-center gap-1.5 rounded-lg bg-brand-600 px-3 py-2 text-sm font-semibold text-white hover:bg-brand-700"&gt;   Copy prompt Copied!  

  Show the prompt Hide the prompt  

````
# Implement the SharpAPI "Travel Review Sentiment Checker" endpoint

You are adding an integration with SharpAPI's Travel Review Sentiment Checker API to this codebase. This brief is an alternative to the official SharpAPI SDKs (PHP/Laravel, JavaScript/Node, Python, Flutter, .NET): it describes everything needed to call the API directly over HTTP. If the project already uses a SharpAPI SDK, use the SDK instead.

## What it does

Parses the Travel/Hospitality product review and provides its sentiment (`POSITIVE`/`NEGATIVE`/`NEUTRAL`) with a score between 0-100%. Ideal for developers working on travel platforms, review aggregators, or customer feedback systems. It automates the analysis of travel reviews, helping businesses understand customer experiences and improve their services. Use cases include generating sentiment reports, enhancing travel recommendations, and improving customer satisfaction by addressing negative feedback. Great for sentiment report processing for any online travel agency.

## Authentication and base URL

- Base URL: `https://sharpapi.com/api/v1`
- Send `Authorization: Bearer `, `Accept: application/json` and a `User-Agent` that names your app on every request.
- Read the API key from configuration or an environment variable (for example `SHARPAPI_API_KEY`). Never hard-code or commit it. The key is in the SharpAPI dashboard: https://sharpapi.com/dashboard

## Endpoints

### `POST https://sharpapi.com/api/v1/tth/review_sentiment`
Travel Review Sentiment
Request body: `application/json`
- `content` (string), e.g. `We had a great stay at the Jen Orchard!! Super comfortable rooms and beds. The d...`
- `language` (string), e.g. `English`
Example:

```json
{
    "content": "We had a great stay at the Jen Orchard!! Super comfortable rooms and beds. The delicious and extensive breakfast buffet is absolutely worth it as well. The pool is really cool and offers amazing views. We didn't get to enjoy it as much as w...",
    "language": "English"
}
```

### `GET https://sharpapi.com/api/v1/tth/review_sentiment/job/status/{uuid}`
Travel Review Sentiment - Job Results
- path parameter `uuid` (required), string, e.g. `"f85b7ac5-33cd-4796-8935-dc8c22219946"`

## Asynchronous job flow

This is an asynchronous AI endpoint. Mirror the official SDK client:

1. POST the request. The API answers `202 Accepted` with `{"job_id": "...", "status_url": "..."}` (the `Location` header holds the same URL).
2. GET `status_url` with the same headers. While `data.attributes.status` is `new` or `pending`, wait the number of seconds in the `Retry-After` header (10 seconds if it is missing) and poll again.
3. Stop when the status is `success` or `failed`. The result is in `data.attributes.result`, already decoded as JSON.
4. A `failed` job is a normal response, not an HTTP error: report it to the caller as a failure.
5. Give up after 180 seconds of polling in total and surface a timeout error.

Run the whole flow in a background job or queue, never inside a web request. SharpAPI can also call your own webhook when a job finishes (Dashboard → Webhooks), which avoids polling.

## Successful job result

```json
{
    "data": {
        "type": "api_job_result",
        "id": "065c36a4-56a8-4af0-bb2b-5a62ae67d404",
        "attributes": {
            "status": "success",
            "type": "tth_review_sentiment",
            "result": {
                "opinion": "POSITIVE",
                "score": 95,
                "emotion": "delight",
                "urgency": "none",
                "topics": [
                    {
                        "topic": "room_comfort",
                        "sentiment": "positive",
                        "mention_count": 2
                    },
                    {
                        "topic": "breakfast_buffet",
                        "sentiment": "positive",
                        "mention_count": 1
                    },
                    {
                        "topic": "pool",
                        "sentiment": "positive",
                        "mention_count": 1
                    }
                ],
                "loyalty_signal": "promoter",
                "recommended_action": "highlight_positive",
                "language": "en",
                "travel_category": "accommodation"
            }
        }
    }
}
```

## Errors to handle

- `401` 401 Unauthorized: "Unauthorized"
- `402` 402 Payment Required: "You have exceeded your monthly words quota [1694]. Please login to the dashboard and increase number of credits."
- `404` 404 Not Found: "Resource Not Found"
- `422` 422 Unprocessable Content: "The content field is required."
- `429` 429 Too Many Requests: "Too Many Attempts."
- `500` 500 Internal Server Error: "Server Error"
- `503` 503 Service Unavailable: "Service Unavailable"
- `429`: rate limited. Wait the `Retry-After` seconds and retry, at most 3 times.
- `402`: the word quota is used up. Do not retry; tell the user to add credits or upgrade.
- `5xx`: retry later with backoff.

## Implementation rules
- Wrap the calls in one small client or service with a typed method for this endpoint, and map the result to a typed object or DTO.
- Track `X-RateLimit-Limit` and `X-RateLimit-Remaining`. When the remaining count drops to 3 or below, slow down (double the polling interval).
- `GET https://sharpapi.com/api/v1/ping` checks connectivity and `GET https://sharpapi.com/api/v1/quota` returns the remaining words: use them for a health check.
- Write tests with the HTTP layer mocked: success, `pending` then `success`, `failed` job, `422` validation error, `429` retry, and a missing API key.
- Full API reference: https://sharpapi.com/documentation

````

 ![Travel Review Sentiment Checker](https://sharpapi.com/storage/234/conversions/Travel---Travel-Review-Sentiment-Checker-%28AI%29-full_size.jpg) [     Check API Details Documentation   Check API Details Documentation ](https://documenter.getpostman.com/view/31106842/2s9Ye8faUp#0b9c4e2c-292d-47fe-a974-16619da147e4) 

 [ ![SharpAPI SOC 2 Type II](https://sharpapi.com/build/assets/resources/images/a2zweb-soc2-Cb6pM2no.png) ](https://trust.a2zweb.co/) SharpAPI is now SOC 2 Type II compliant. You can check details at our [ Trust Center Portal. ](https://trust.a2zweb.co/)

 Your data is your data. Learn how we protect it and comply with global privacy standards in our [ Data Handling and Compliance policy ](https://sharpapi.com/en/data-handling-and-compliance).

Step 1. Submit the AI Job request
---------------------------------

**Endpoint:** `POST - /api/v1/tth/review_sentiment`

AttributeTypeMandatoryDescriptioncontentStringYesProvide Review text to analyze the sentiment.---

**REQUEST EXAMPLE:**

```
{
  "content": "We had a great stay at the Jen Orchard!! Super comfortable rooms and beds. The delicious and extensive breakfast buffet is absolutely worth it as well. The pool is really cool and offers amazing views. We didn't get to enjoy it as much as we wanted due to thunderstorms, but you can even stay here if you have a late flight, which we had. The changing rooms have free lockers that easily fit your hand luggage and there are showers to freshen up and change before leaving for the airport. Location is perfect, right above an MRT station. Staff is really friendly. Would definitely stay here again when in Singapore."
}

```

**RESPONSE EXAMPLE:**

```
{
  "status_url": "https://sharpapi.com/api/v1/content/translate/job/status/5de4887a-0dfd-49b6-8edb-9280e468c210",
  "job_id": "5de4887a-0dfd-49b6-8edb-9280e468c210"
}

```

---

Step 2. Monitor &amp; Fetch AI Job Results
------------------------------------------

**Endpoint:** `GET - /api/v1/tth/review_sentiment/job/status/:uuid`

An endpoint is used to check on the progress of the requested API job.

**RESULT EXAMPLE:**

```
{
    "data": {
        "type": "api_job_result",
        "id": "065c36a4-56a8-4af0-bb2b-5a62ae67d404",
        "attributes": {
            "status": "success",
            "type": "tth_review_sentiment",
            "result": {
                "opinion": "POSITIVE",
                "score": 95,
                "emotion": "delight",
                "urgency": "none",
                "topics": [
                    {
                        "topic": "room_comfort",
                        "sentiment": "positive",
                        "mention_count": 2
                    },
                    {
                        "topic": "breakfast_buffet",
                        "sentiment": "positive",
                        "mention_count": 1
                    },
                    {
                        "topic": "pool",
                        "sentiment": "positive",
                        "mention_count": 1
                    },
                    {
                        "topic": "location",
                        "sentiment": "positive",
                        "mention_count": 1
                    },
                    {
                        "topic": "staff_friendliness",
                        "sentiment": "positive",
                        "mention_count": 1
                    }
                ],
                "loyalty_signal": "promoter",
                "recommended_action": "highlight_positive",
                "language": "en",
                "travel_category": "accommodation"
            }
        }
    }
}

```

- Related Keywords:
- [ Travel APIs ](https://sharpapi.com/en/tag/travel-apis)
- [ Travel ](https://sharpapi.com/en/tag/travel)
- [ Sentiment ](https://sharpapi.com/en/tag/sentiment)
- [ OTA ](https://sharpapi.com/en/tag/ota)
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- [ Reviews ](https://sharpapi.com/en/tag/reviews)
- [ Tourism ](https://sharpapi.com/en/tag/tourism)
- [ Feedback ](https://sharpapi.com/en/tag/feedback)

###  Other Travel, Tourism &amp; Hospitality APIs 

- [   

     Hospitality Product Categorization ](https://sharpapi.com/en/catalog/ai/travel-tourism-hospitality/hospitality-product-categorization)
- [   

     Tours &amp; Activities Product Categorization ](https://sharpapi.com/en/catalog/ai/travel-tourism-hospitality/tours-activities-product-categorization)

---

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 Discover our complete [AI-Powered Automation Toolkit](https://sharpapi.com/en/toolkit) 

---

  [ ![Leveraging AI for Enhanced Online Engagement](https://sharpapi.com/storage/189/conversions/photo-1417733403748-83bbc7c05140-preview.jpg)

 ](https://sharpapi.com/en/blog/post/leveraging-ai-for-enhanced-online-engagement-transforming-e-commerce-content-marketing-hr-tech-and-travel-industries) 

 Jul 18, 2024 

 [ #AI ](https://sharpapi.com/en/blog/tag/ai) [ #API ](https://sharpapi.com/en/blog/tag/api) [ #Travel APIs ](https://sharpapi.com/en/blog/tag/travel-apis) 

###  [  Leveraging AI for Enhanced Online Engagement ](https://sharpapi.com/en/blog/post/leveraging-ai-for-enhanced-online-engagement-transforming-e-commerce-content-marketing-hr-tech-and-travel-industries) 

Let’s explore how AI can be leveraged to build scalable solutions for online engagement across various industries seeking to enhance efficiency and productivity through AI-driven workflow automation.

   [ ![10 Ways AI with SharpAPI is Transforming Travel Tech](https://sharpapi.com/storage/1147/conversions/travel-tech-small-preview.jpg)

 ](https://sharpapi.com/en/blog/post/10-ways-ai-with-sharpapi-is-transforming-travel-tech) 

 Nov 3, 2024 

 [ #AI ](https://sharpapi.com/en/blog/tag/ai) [ #Travel APIs ](https://sharpapi.com/en/blog/tag/travel-apis) [ #Travel ](https://sharpapi.com/en/blog/tag/travel) 

###  [  10 Ways AI with SharpAPI is Transforming Travel Tech ](https://sharpapi.com/en/blog/post/10-ways-ai-with-sharpapi-is-transforming-travel-tech) 

In an industry where time zones are crossed faster than you can finish a complimentary in-flight snack, AI has become the quiet co-pilot shaping every corner of travel. Imagine automating itinerary emails, categorizing unique stays, or instantly translating tour descriptions—all while you focus on delivering memorable experiences. SharpAPI brings this vision to life, offering a suite of AI-powered tools that not only simplify operations but add that extra spark to customer interactions, making travel smoother, smarter, and undeniably more exciting.

   [ ![SharpAPI Introduction Video](https://sharpapi.com/storage/1248/conversions/logo500-square-white-preview.jpg)

 ](https://sharpapi.com/en/blog/post/sharpapi-introduction-video) 

 Feb 2, 2024 

 [ #HR Tech ](https://sharpapi.com/en/blog/tag/hr-tech) [ #Travel ](https://sharpapi.com/en/blog/tag/travel) [ #SEO ](https://sharpapi.com/en/blog/tag/seo) 

###  [  SharpAPI Introduction Video ](https://sharpapi.com/en/blog/post/sharpapi-introduction-video) 

SharpAPI is a powerful AI-powered API, which provides a range of workflow automation endpoints to help improve efficiency across various industries. It has features for E-commerce, Content &amp; Marketing Automation, SEO, HR Tech, and Travel &amp; Hospitality industries.

   [ ![Transforming HR Tech with AI-Powered Efficiency](https://sharpapi.com/storage/1170/conversions/austin-distel-unsplash-small-preview.jpg)

 ](https://sharpapi.com/en/blog/post/transforming-hr-tech-with-ai-powered-efficiency) 

 Nov 7, 2024 

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###  [  Transforming HR Tech with AI-Powered Efficiency ](https://sharpapi.com/en/blog/post/transforming-hr-tech-with-ai-powered-efficiency) 

So, you’re neck-deep in resumes and job descriptions, and your only defense against the deluge is a lukewarm cup of coffee. Enter SharpAPI. This isn’t just any old toolkit – this is a turbo-charged, HR tech hero. Here’s how each of these endpoint superheroes (cue dramatic music) can turn your hiring process from drudgery to, well, semi-automated bliss.

   [ ![When Laravel/PHP E-commerce App Meets AI](https://sharpapi.com/storage/9/conversions/sharpapi-github-php-bg-preview.jpg)

 ](https://sharpapi.com/en/blog/post/when-laravel-php-e-commerce-app-meets-ai-unleashing-the-power-of-sharpapi-in-10-use-cases) 

 Jan 1, 2024 

 [ #AI ](https://sharpapi.com/en/blog/tag/ai) [ #Resume Parsing ](https://sharpapi.com/en/blog/tag/resume-parsing) [ #AI Resume Parser ](https://sharpapi.com/en/blog/tag/ai-resume-parser) 

###  [  When Laravel/PHP E-commerce App Meets AI ](https://sharpapi.com/en/blog/post/when-laravel-php-e-commerce-app-meets-ai-unleashing-the-power-of-sharpapi-in-10-use-cases) 

Hey fellow Laravel enthusiasts! In the ever-evolving landscape of e-commerce, integrating AI into your Laravel applications is not just a luxury, it’s a necessity. With SharpAPI’s Laravel package, it’s now easier than ever. In this blog, I’ll guide you through 10 transformative use cases for enhancing your Laravel-based e-commerce applications using SharpAPI.

   [ ![Refer a customer → earn 30% forever](https://sharpapi.com/storage/10187/conversions/micheile-henderson-300-preview.jpg)

 ](https://sharpapi.com/en/blog/post/refer-a-customer-earn-30-forever) 

 Oct 1, 2025 

 [ #Feedback ](https://sharpapi.com/en/blog/tag/feedback) [ #Marketing ](https://sharpapi.com/en/blog/tag/marketing) [ #YouTube ](https://sharpapi.com/en/blog/tag/youtube) 

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