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Social Media Hashtag Research

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Social Media Hashtag Research

Social Media Hashtag Research

apify/social-media-hashtag-research
Try for free

No credit card required

Extract information about posts across social media with the same hashtag. Get details from Instagram, YouTube, TikTok, and Facebook about posts’ URLs, captions, timestamps, likes, dislikes, views and comments count, and basic profile info. You can download your data in JSON, CSV, Excel, and more.

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You can access the Social Media Hashtag Research 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, you’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 = {
9    "hashtags": ["cats"],
10    "socials": [
11        "facebook",
12        "instagram",
13        "tiktok",
14        "youtube",
15    ],
16}
17
18# Run the Actor and wait for it to finish
19run = client.actor("apify/social-media-hashtag-research").call(run_input=run_input)
20
21# Fetch and print Actor results from the run's dataset (if there are any)
22print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
23for item in client.dataset(run["defaultDatasetId"]).iterate_items():
24    print(item)
25
26# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Social Media Hashtag Research API in Python

The Apify API client for Python is the official library that allows you to use Social Media Hashtag Research 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

  • 170 monthly users

  • 31 stars

  • >99% runs succeeded

  • 14 days response time

  • Created in Aug 2024

  • Modified 2 months ago