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Social Media Sentiment Analysis Tool

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Pay $1.50 for 1,000 Comments

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Social Media Sentiment Analysis Tool

Social Media Sentiment Analysis Tool

tri_angle/social-media-sentiment-analysis-tool
Try for free

Pay $1.50 for 1,000 Comments

Add a profile name and find this social profile on Facebook, Instagram, and TikTok, scrape its recent posts and comments, and perform sentiment analysis for each comment. All in one go. Export results in JSON, CSV, HTML, use API, schedule runs, integrate with other tools.

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You can access the Social Media Sentiment Analysis Tool programmatically from your own Python applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youā€™ll need an Apify account and your API token, found in Integrations settings in Apify Console.

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "profileName": "Arnold Schwarzenegger" }
9
10# Run the Actor and wait for it to finish
11run = client.actor("tri_angle/social-media-sentiment-analysis-tool").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("šŸ’¾ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# šŸ“š Want to learn more šŸ“–? Go to ā†’ https://docs.apify.com/api/client/python/docs/quick-start

šŸ¤” Social Media Sentiment Analysis Tool API in Python

The Apify API client for Python is the official library that allows you to use Social Media Sentiment Analysis Tool API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Apify

Actor Metrics

  • 117 monthly users

  • 24 stars

  • 93% runs succeeded

  • 5.3 hours response time

  • Created in May 2024

  • Modified 13 days ago