🏯 Tiktok Location Scraper (Pay Per Result)
Pay $0.30 for 1,000 posts
🏯 Tiktok Location Scraper (Pay Per Result)
Pay $0.30 for 1,000 posts
Kudos to the exceptional TikTok Location Scraper, the champion in speed, cost-effectiveness, and efficiency for extracting location-based posts from TikTok.com. Retrieve any post that is tagged on any location at a blazing-fast speed! Extremely cheap and perfectly suitable for all needs.
You can access the 🏯 Tiktok 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": [
10 "https://www.tiktok.com/place/New-York-22535796481546927",
11 "https://www.tiktok.com/place/Singapore-22535796481329166",
12 ],
13 "maxItems": 1000,
14 "customMapFunction": "(object) => { return {...object} }",
15}
16
17# Run the Actor and wait for it to finish
18run = client.actor("apidojo/tiktok-location-scraper").call(run_input=run_input)
19
20# Fetch and print Actor results from the run's dataset (if there are any)
21print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
22for item in client.dataset(run["defaultDatasetId"]).iterate_items():
23 print(item)
24
25# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start🏯 Tiktok Location Scraper (Pay Per Result) API in Python
The Apify API client for Python is the official library that allows you to use 🏯 Tiktok 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- 6 monthly users
- 2 stars
- 100.0% runs succeeded
- Created in Dec 2023
- Modified about 23 hours ago
