Disclaimer : Real Data API only extracts publicly available data while maintaining a strict policy against collecting any personal or identity-related information.
Extraction of hashtags from Instagram using Instagram Hashtag Data Scraper easily and quickly. You can run this scraper for Instagram Hashtag data collection of posts, URLs, images, likes, comments, users, timestamps, locations, etc., in Australia, Canada, Germany, France, Spain, UAE, USA, UK, Singapore, Mexico, and other countries. Save the structured data in a desired format like HTML, XML, CSV, Excel, or JSON to use in spreadsheets, reports, or applications.
Instagram Hashtag data scraper is a simple tool that permits you to collect complete data from Instagram based on hashtags using web scraping. To extract all posts mentioning a particular hashtag, mention it with the post count you want to scrape, and click the Save and Start button.
We've designed this Instagram Hashtag data scraper such that it is fast and straightforward to use, and there is no need for many settings and using many parameters. Follow the below steps for Instagram hashtag data collection.
If you are new to using this scrape and want guidance on using Instagram Hashtag Data Scraper, follow the stepwise tutorial and learn the detailed process to collect Instagram Hashtag Data.
You can retrieve thousands of hashtag outputs daily using Instagram Hashtag Data Scraper.
You must remember that Instagram data scraping is subject to change due to its dynamic nature. Also, there are no fixed use cases for Instagram Hashtag scraping.
The maximum result count may change based on the complexity of location, input, and other factors.
Therefore, we often check scraper tests to maintain the benchmark. It leads to variation in results unknowingly. You can perform the test run of the scraper to know about the specific use case.
It is tough to gauge the data resource while scraping hashtags from Instagram due to various use cases. Hence, it is the best way to perform a trial run with a small input sample and restricted output. Using the cost of the test run, you can estimate the required cost according to your data requirements.
Consider choosing a higher subscription plan that will help you in cost-cutting in the long term.
You must spend time computing units and the proxy traffic of 0.24 GB to get one thousand hashtags. It means scraping Instagram hashtags will cost you around 4.25 USD from the platform credits to collect one thousand hashtags.
It would be best to feed the Instagram hashtags you need to scrape the data and select output counts for every hashtag. Visit the input tab to learn more about the JSON-coded input example.
{ "hashtags": [ "WinterWarmer ", "Pastry", "Coffee", "coffeeshop" ], "resultsLimit": 20 } ...
Once you get the output for the expected input, you can export the data in multiple formats like JSON, CSV, HTML, or Excel. Every data item in the structured dataset consists of a unique Instagram post containing a hashtag in the below format.
[ { "id": "2968381439079951049", "type": "Image", "shortCode": "CkxzzESOSrJ", "caption": "Something to walk with… warm.. ‘to go’.⁠\n#WinterWarmer #Pastry & #Coffee ☕️🤍⁠\n⁠\n⁠\n#coffeeshop #walking #coffeelover #bakery #latte #cafe #coffeetime #coffeeaddict #latteart #coffeegram #barista #caffeine #instacoffee #coffeelovers #cappuccino #coffeelove #pastry #butcher #baker #savoury #sweet #artisan #artisanbakery", "hashtags": [ "WinterWarmer", "Pastry", "Coffee", "coffeeshop", ], "mentions": [], "url": "https://www.instagram.com/p/CkxzzESOSrJ/", "commentsCount": 0, "firstComment": "", "latestComments": [], "dimensionsHeight": 1334, "dimensionsWidth": 1080, "displayUrl": "https://instagram.ftpa1-2.fna.fbcdn.net/v/t51.2885-15/314813380_3353123594960112_7939201600927436601_n.jpg?stp=dst-jpg_e35&_nc_ht=instagram.ftpa1-2.fna.fbcdn.net&_nc_cat=100&_nc_ohc=vQbODwsDgF0AX83Zh0w&edm=AA0rjkIBAAAA&ccb=7-5&oh=00_AfCr7AxXzveU1ZeAUWswNEG_KxrrR9b5tQJIjNcKJQ-bKw&oe=637255A2&_nc_sid=d997c6", "images": [], "alt": null, "likesCount": 0, "timestamp": "2022-11-10T11:11:15.000Z", "childPosts": [], "ownerId": "51571511280" }, ] ...
Apart from the Instagram hashtag scraper, we have dedicated scrapers to collect specific data from the source platform. We've designed all the scrapers for specific data requirements, like videos, profiles, followers, comments, etc.
If you want more options for Instagram data scraping, you can try our Instagram API scraper or advanced Instagram Scraper with the flexibility to change settings comfortably.
If you want a customized solution for Instagram data collection, contact us.
You can scrape Instagram hashtag data quickly using this scraper. It is the most effective way to get a structured dataset that you can utilize for any requirement. Using the scraped Instagram post data based on hashtags, you can track brand awareness, forecast trends, monitor competing influencers, and take necessary steps to improve performance on Instagram.
We've designed our scraper for ethical use, so we don't try collecting personal data like gender, email addresses, or locations of users. Our scrapers only extract publically available use data from the source platform. But, there are chances of some personal data in the retrieved datasets by mistake. It is better to extract personal data with a genuine reason. If you are unaware of the reason, you can seek consultation from your lawyer before scraping the personal data with genuine reason.
Using our integrations, you can integrate Instagram Hashtag data scraper with any web application or cloud service. Connecting the scraper with Zapier, Airbyte, Slack, Make, GitHub, Google Drive, Google Sheets, and other platforms is possible. You can also try webhooks to take action if any event occurs, like getting an alert after a successful run of Instagram hashtag scraper.
Our API gives you programmatic permission to access the Real Data API platform. We have organized the actor around RESTful HTTP endpoints to allow you to schedule, manage, and execute our actors. The scraper also allows you to retrieve outputs, update and create versions, track scraper performance, etc. You can use our client PyPl package to access the scraper using Python and the client NPM package to use it using Node.js.
We have a dedicated team for API maintenance and performance improvement. You can contact our team from the issue tab on our console account if you have any feedback, technical query, suggestions, or a bug.
Check out how industries use Instagram Hashtag Data Scraper worldwide.
Marketing and Media
You should have a Real Data API account to execute the program examples. Replace <YOUR_API_TOKEN>
in the program using the token of your actor. Read about the live APIs with Real Data API docs for more explanation.
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with API token
const client = new ApifyClient({
token: '<YOUR_API_TOKEN>',
});
// Prepare actor input
const input = {
"hashtags": [
"webscraping"
],
"resultsLimit": 20
};
(async () => {
// Run the actor and wait for it to finish
const run = await client.actor("apify/instagram-hashtag-scraper").call(input);
// Fetch and print actor results from the run's dataset (if any)
console.log('Results from dataset');
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
})();
from apify_client import ApifyClient
# Initialize the ApifyClient with your API token
client = ApifyClient("<YOUR_API_TOKEN>")
# Prepare the actor input
run_input = {
"hashtags": ["webscraping"],
"resultsLimit": 20,
}
# Run the actor and wait for it to finish
run = client.actor("apify/instagram-hashtag-scraper").call(run_input=run_input)
# Fetch and print actor results from the run's dataset (if there are any)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# Set API token
API_TOKEN=<YOUR_API_TOKEN>
# Prepare actor input
cat > input.json <<'EOF'
{
"hashtags": [
"webscraping"
],
"resultsLimit": 20
}
EOF
# Run the actor
curl "https://api.apify.com/v2/acts/apify~instagram-hashtag-scraper/runs?token=$API_TOKEN" \
-X POST \
-d @input.json \
-H 'Content-Type: application/json'
hashtags
Required Array
Input the Instagram hashtags with a # symbol or without in the input field. To add multiple hashtags, use the + add button; the scraper will give you the expected output.
resultsLimit
Optional Integer
If you set the count to 7, the scraper will provide seven posts for every hashtag. Using this setup, you will get 70 posts in your dataset if you want posts for ten hashtags.
{
"hashtags": [
"webscraping"
],
"resultsLimit": 20
}