Instagram Email Scraper ๐Ÿ“ง๐ŸŽต avatar
Instagram Email Scraper ๐Ÿ“ง๐ŸŽต

Deprecated

Pricing

$9.90/month + usage

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Instagram Email Scraper ๐Ÿ“ง๐ŸŽต

Instagram Email Scraper ๐Ÿ“ง๐ŸŽต

Deprecated

Developed by

Storm_Scraper

Storm_Scraper

Maintained by Community

This Instagram Email Scraper extracts email addresses from Instagram based on your selected keywords and email domains. You can also set the max number of items for results ๐Ÿ”ฅ. Perfect for creator outreach ๐Ÿคณ and collaborations ๐Ÿ’ฅ, it delivers fast and accurate results โšก.

0.0 (0)

Pricing

$9.90/month + usage

1

Total users

7

Monthly users

7

Runs succeeded

>99%

Last modified

4 months ago

You can access the Instagram Email Scraper ๐Ÿ“ง๐ŸŽต programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youโ€™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 "keyword": "fashion",
10 "domainemail": [
11 "@gmail.com",
12 "@yahoo.com",
13 "@hotmail.com",
14 ],
15 "maxitems": 10,
16}
17
18# Run the Actor and wait for it to finish
19run = client.actor("scrapestorm/instagram-email-scraper").call(run_input=run_input)
20
21# Fetch and print Actor results from the run's dataset (if there are any)
22print("๐Ÿ’พ 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# ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start

Instagram Email Scraper ๐Ÿ“ง๐ŸŽต API in Python

The Apify API client for Python is the official library that allows you to use Instagram Email Scraper ๐Ÿ“ง๐ŸŽต API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include: