🏯 Instagram Location Scraper (Pay Per Result)
Pay $0.50 for 1,000 posts
🏯 Instagram Location Scraper (Pay Per Result)
Pay $0.50 for 1,000 posts
Instagram Location Scraper, your premier solution for harvesting data from locations on Instagram. It offers remarkable value at just $0.50 per 1000 posts, with the capability to scrape between 100-200 posts per second!
You can access the 🏯 Instagram Location Scraper (Pay Per Result) 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 "startUrls": ["https://www.instagram.com/explore/locations/213131048/berlin-germany/"],
10 "locationIds": ["213385402"],
11 "maxItems": 1000,
12 "customMapFunction": "(object) => { return {...object} }",
13}
14
15# Run the Actor and wait for it to finish
16run = client.actor("apidojo/instagram-location-scraper").call(run_input=run_input)
17
18# Fetch and print Actor results from the run's dataset (if there are any)
19print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
20for item in client.dataset(run["defaultDatasetId"]).iterate_items():
21 print(item)
22
23# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start🏯 Instagram Location Scraper (Pay Per Result) API in Python
The Apify API client for Python is the official library that allows you to use 🏯 Instagram Location Scraper (Pay Per Result) API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
API Dojo- 39 monthly users
- 6 stars
- 82.2% runs succeeded
- 0.25 hours response time
- Created in Mar 2024
- Modified about 23 hours ago
