
Apollo < 2500 (No Cookies, 100% real-time data)
Pricing
$4.00 / 1,000 results

Apollo < 2500 (No Cookies, 100% real-time data)
Note: Don't suspend/terminate the actor, it takes about 20-30 mins to complete a scrap/enrich of 2500 leads.
4.7 (11)
Pricing
$4.00 / 1,000 results
12
Total users
405
Monthly users
335
Runs succeeded
35%
Issues response
3.1 days
Last modified
9 hours ago
You can access the Apollo < 2500 (No Cookies, 100% real-time data) programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youβll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = { "apolloUrl": "https://app.apollo.io/#/people?page=1&contactEmailExcludeCatchAll=true&sortAscending=false&sortByField=recommendations_score" }9
10# Run the Actor and wait for it to finish11run = client.actor("theboomerang/exportapollo").call(run_input=run_input)12
13# Fetch and print Actor results from the run's dataset (if there are any)14print("πΎ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])15for item in client.dataset(run["defaultDatasetId"]).iterate_items():16 print(item)17
18# π Want to learn more π? Go to β https://docs.apify.com/api/client/python/docs/quick-start
Apollo < 2500 (No Cookies, 100% real-time data) API in Python
The Apify API client for Python is the official library that allows you to use Apollo < 2500 (No Cookies, 100% real-time data) API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-client
Other API clients include: