Instagram Mentions Scraper
Pay $2.30 for 1,000 posts
Instagram Mentions Scraper
Pay $2.30 for 1,000 posts
Extract data from tagged posts and mentions on Instagram. Just add one or more Instagram usernames and get post text, hashtags, mentions, comments, images, likes, locations, and metadata. Export scraped data, run the scraper via API, schedule and monitor runs, or integrate with other tools.
Do you want to learn more about this Actor?
Get a demoYou can access the Instagram Mentions Scraper programmatically from your own JavaScript applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6 token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11 "username": [
12 "zelenskyy_official"
13 ],
14 "resultsLimit": 30
15};
16
17// Run the Actor and wait for it to finish
18const run = await client.actor("apify/instagram-tagged-scraper").call(input);
19
20// Fetch and print Actor results from the run's dataset (if any)
21console.log('Results from dataset');
22console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
23const { items } = await client.dataset(run.defaultDatasetId).listItems();
24items.forEach((item) => {
25 console.dir(item);
26});
27
28// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs🔖 Instagram Mentions and Tagged Posts Scraper API in JavaScript
The Apify API client for JavaScript is the official library that allows you to use Instagram Mentions Scraper API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.
Install the apify-client
npm install apify-clientOther API clients include:
ApifyActor Metrics
211 monthly users
-
13 stars
>99% runs succeeded
1.7 days response time
Created in Nov 2022
Modified 16 hours ago
