Instagram Scraper (Pay Per Result)-$0.4/1000 media
Pay $0.40 for 1,000 media
Instagram Scraper (Pay Per Result)-$0.4/1000 media
Pay $0.40 for 1,000 media
Only $0.4/1000 media for Instagram scraping, 100% reliability, swift data retrieval.This incredible low price is almost too good to be true.Thanks to our large-scale operations and efficient servers, we can offer you rock-bottom prices that no competitors can match. Don't miss this opportunity !
You can access the Instagram Scraper (Pay Per Result)-$0.4/1000 media 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 "user_names": [
10 "therock",
11 "kyliejenner",
12 ],
13 "new_than": "2024-01-01 00:00:00",
14}
15
16# Run the Actor and wait for it to finish
17run = client.actor("kaitoeasyapi/instagram-scraper-pay-per-result-query-by-user").call(run_input=run_input)
18
19# Fetch and print Actor results from the run's dataset (if there are any)
20print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
21for item in client.dataset(run["defaultDatasetId"]).iterate_items():
22 print(item)
23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startInstagram Scraper (Pay Per Result)-$0.4/1000 media API in Python
The Apify API client for Python is the official library that allows you to use Instagram Scraper (Pay Per Result)-$0.4/1000 media API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Kaito Easy APIActor Metrics
2 monthly users
-
1 star
>99% runs succeeded
Created in Nov 2024
Modified 13 hours ago
