Social Media Sentiment Analysis Tool
Pay $1.50 for 1,000 Comments
Social Media Sentiment Analysis Tool
Pay $1.50 for 1,000 Comments
Add a profile name and find this social profile on Facebook, Instagram, and TikTok, scrape its recent posts and comments, and perform sentiment analysis for each comment. All in one go. Export results in JSON, CSV, HTML, use API, schedule runs, integrate with other tools.
Do you want to learn more about this Actor?
Get a demoYou can access the Social Media Sentiment Analysis Tool programmatically from your own JavaScript applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youāll need an Apify account and your API token, found in Integrations settings in Apify Console.
1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6 token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11 "profileName": "Arnold Schwarzenegger"
12};
13
14// Run the Actor and wait for it to finish
15const run = await client.actor("tri_angle/social-media-sentiment-analysis-tool").call(input);
16
17// Fetch and print Actor results from the run's dataset (if any)
18console.log('Results from dataset');
19console.log(`š¾ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
20const { items } = await client.dataset(run.defaultDatasetId).listItems();
21items.forEach((item) => {
22 console.dir(item);
23});
24
25// š Want to learn more š? Go to ā https://docs.apify.com/api/client/js/docsš¤ Social Media Sentiment Analysis Tool API in JavaScript
The Apify API client for JavaScript is the official library that allows you to use Social Media Sentiment Analysis Tool API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.
Install the apify-client
npm install apify-clientOther API clients include:
TriāangleActor Metrics
94 monthly users
-
24 stars
93% runs succeeded
5.3 hours response time
Created in May 2024
Modified a month ago
