Get Facebook Page Reviews Using API

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import logging
from fastapi import FastAPI, Depends
from pydantic import BaseModel
import os
from some_get_request_handler import handle_get_endpoint
from some_post_request_handler import handle_post_endpoint, Data
from facebook_reviews import get_facebook_page_reviews

logger = logging.getLogger(__name__)
logging.basicConfig(level=logging.WARNING)

app = FastAPI()

class FacebookPageReviewRequest(BaseModel):
    page_id: str

@app.post("/facebook_reviews")
def facebook_reviews(request: FacebookPageReviewRequest):
    access_token = os.environ['FACEBOOK_ACCESS_TOKEN']
    try:
        reviews = get_facebook_page_reviews(request.page_id, access_token)
        return {"reviews": reviews}
    except Exception as e:
Get full code

Frequently Asked Questions

How can businesses benefit from using this Facebook Page Reviews API template?

The Facebook Page Reviews API template offers businesses a powerful tool to gather and analyze customer feedback. By integrating this template into their systems, companies can: - Automatically collect and monitor reviews from their Facebook page - Gain insights into customer satisfaction and sentiment - Identify areas for improvement in products or services - Respond promptly to customer feedback - Track changes in review trends over time

This template streamlines the process of accessing valuable customer data, enabling businesses to make data-driven decisions and improve their overall customer experience.

What are some practical applications of this template for marketing teams?

Marketing teams can leverage the Facebook Page Reviews API template in several ways: - Create real-time dashboards displaying customer feedback - Generate reports on review sentiment and trends - Identify brand advocates based on positive reviews - Use positive reviews in marketing materials or testimonials - Develop targeted marketing campaigns addressing common themes in reviews - Monitor the impact of marketing initiatives on customer satisfaction

By incorporating this template into their marketing stack, teams can gain a deeper understanding of their audience and tailor their strategies accordingly.

How can I extend this template to include more Facebook API functionalities?

The Facebook Page Reviews API template can be extended to include additional Facebook API functionalities by adding new endpoints and functions. For example, to fetch page insights, you could add a new endpoint like this:

```python @app.post("/facebook_insights") def facebook_insights(request: FacebookPageInsightRequest): access_token = os.environ['FACEBOOK_ACCESS_TOKEN'] try: insights = get_facebook_page_insights(request.page_id, access_token) return {"insights": insights} except Exception as e: logger.error(f"Error fetching Facebook page insights: {e}") return {"error": "Failed to fetch insights"}

def get_facebook_page_insights(page_id: str, access_token: str) -> dict: url = f"https://graph.facebook.com/v12.0/{page_id}/insights" params = { "access_token": access_token, "metric": "page_impressions,page_engaged_users", "period": "day" } response = requests.get(url, params=params) if response.status_code == 200: return response.json() else: raise HTTPException(status_code=response.status_code, detail="Failed to fetch Facebook page insights.") ```

This example adds a new endpoint to fetch page insights, demonstrating how the template can be expanded to cover more Facebook API functionalities.

What industries could benefit most from implementing this Facebook Page Reviews API template?

While the Facebook Page Reviews API template can be valuable for businesses across various sectors, some industries that could benefit significantly include: - Hospitality (hotels, restaurants, travel agencies) - Retail (both online and brick-and-mortar stores) - Service-based businesses (salons, spas, cleaning services) - E-commerce platforms - Local businesses (cafes, boutiques, fitness centers) - Entertainment venues (theaters, museums, theme parks)

These industries often rely heavily on customer reviews and feedback to attract new customers and improve their services. By implementing this template, they can efficiently manage and analyze their Facebook reviews, leading to better customer engagement and business growth.

How can I modify the template to handle rate limiting from the Facebook API?

To handle rate limiting from the Facebook API, you can implement a retry mechanism with exponential backoff. Here's an example of how you could modify the get_facebook_page_reviews function in the template:

```python import time from requests.exceptions import RequestException

def get_facebook_page_reviews(page_id: str, access_token: str, max_retries: int = 3) -> dict: url = f"https://graph.facebook.com/v12.0/{page_id}/ratings" params = { "access_token": access_token, "fields": "review_text,recommendation_type,created_time" }

   for attempt in range(max_retries):
       try:
           response = requests.get(url, params=params)
           response.raise_for_status()
           return response.json()
       except RequestException as e:
           if response.status_code == 429:  # Too Many Requests
               wait_time = 2  attempt  # Exponential backoff
               logger.warning(f"Rate limit hit. Retrying in {wait_time} seconds.")
               time.sleep(wait_time)
           else:
               logger.error(f"Error fetching Facebook page reviews: {e}")
               raise HTTPException(status_code=response.status_code, detail="Failed to fetch Facebook page reviews.")

   raise HTTPException(status_code=429, detail="Rate limit exceeded after multiple retries.")

```

This modification adds a retry mechanism with exponential backoff, helping to manage rate limiting issues when using the Facebook Page Reviews API template. It will attempt to retry the request up to three times, with increasing wait times between attempts if a rate limit error is encountered.

Created: | Last Updated:

An app for fetching a logged-in pages's review using the Facebook API. This app uses the FastAPI to create an endpoint to call the Facebook API for getting the page reviews. A facebook access token for the page will be needed to make the API call. The permission scope you will need for the access token is `pages_read_user_content`.

Introduction to the Get Facebook Page Reviews Using API Template

Welcome to the "Get Facebook Page Reviews Using API" template! This template is designed to help you fetch reviews from a Facebook page using the Facebook Graph API. It leverages FastAPI to create an endpoint that interacts with the Facebook API, allowing you to retrieve page reviews easily. Before you can use this template, you'll need a Facebook access token with the `pages_read_user_content` permission scope.

Clicking Start with this Template

To begin using this template, simply click on the "Start with this Template" button. This will pre-populate the code in the Lazy Builder interface, so you won't need to copy, paste, or delete any code manually.

Initial Setup: Adding Environment Secrets

Before you can test the app, you'll need to set up an environment secret for the Facebook access token. Here's how to do it:

  • Go to the Environment Secrets tab within the Lazy Builder.
  • Create a new secret with the key `FACEBOOK_ACCESS_TOKEN`.
  • For the value, you'll need to obtain an access token from Facebook. You can do this by creating a Facebook app and going through the process to generate an access token with the required permissions. Detailed instructions can be found in the Facebook Access Tokens documentation.

Test: Pressing the Test Button

Once you have set up your environment secret, press the "Test" button. This will begin the deployment of the app and launch the Lazy CLI.

Entering Input: Filling in User Input

After pressing the "Test" button, if the app requires any user input, the Lazy App's CLI interface will prompt you to provide it. For this template, you will be asked to enter the Facebook page ID for which you want to fetch reviews.

Using the App

After deployment, Lazy will provide you with a dedicated server link to use the API. Additionally, since this template uses FastAPI, you will also be provided with a link to the FastAPI documentation at `/docs` where you can test the API endpoints directly.

Integrating the App

If you wish to integrate this app into another service or frontend, you can use the server link provided by Lazy. For example, you can make POST requests to the `/facebook_reviews` endpoint with the page ID to fetch reviews. Here's a sample request you might use:

`POST /facebook_reviews HTTP/1.1
Host: [Your Lazy Server Link]
Content-Type: application/json

{
  "page_id": "your_facebook_page_id_here"
}` And here's a sample response you might receive:

{   "reviews": {     "data": [       {         "created_time": "2021-01-01T00:00:00+0000",         "recommendation_type": "positive",         "review_text": "Great service and support!"       },       // ... more reviews ...     ]   } } Remember, you can use the `/docs` endpoint to interact with the API and see the full specifications of the requests and responses.

That's it! You're now ready to fetch Facebook page reviews using the Lazy platform. Happy building!



Here are 5 key business benefits for this template:

Template Benefits

  1. Customer Sentiment Analysis: Easily collect and analyze Facebook page reviews to gauge customer satisfaction and identify areas for improvement in products or services.

  2. Reputation Management: Monitor and track reviews in real-time, allowing businesses to quickly respond to negative feedback and maintain a positive online presence.

  3. Competitive Intelligence: Use the template to gather reviews from competitors' Facebook pages, providing valuable insights into their strengths and weaknesses.

  4. Marketing Strategy Enhancement: Leverage positive reviews for marketing materials and testimonials, while addressing common concerns to refine marketing messages.

  5. Integration Capability: The FastAPI framework allows for easy integration with other business systems, enabling automated review collection and analysis as part of a larger customer relationship management (CRM) strategy.

Technologies

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