![Compare Addresses avatar](https://images.apifyusercontent.com/tHhIE6l-M9jZDp4wq1NdXgflJrVQAXh-jyLu5_55QEs/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vVFVSVXFxUmNsNHF3NklKVTkvSjFUUmZYaWVPUkVGQTU5WDctY29tcGFyZS1hZGRyZXNzZXMucG5n.webp)
Compare Addresses
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View all Actors![Compare Addresses](https://images.apifyusercontent.com/tHhIE6l-M9jZDp4wq1NdXgflJrVQAXh-jyLu5_55QEs/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vVFVSVXFxUmNsNHF3NklKVTkvSjFUUmZYaWVPUkVGQTU5WDctY29tcGFyZS1hZGRyZXNzZXMucG5n.webp)
![Compare Addresses](https://images.apifyusercontent.com/tHhIE6l-M9jZDp4wq1NdXgflJrVQAXh-jyLu5_55QEs/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vVFVSVXFxUmNsNHF3NklKVTkvSjFUUmZYaWVPUkVGQTU5WDctY29tcGFyZS1hZGRyZXNzZXMucG5n.webp)
Compare Addresses
marco.gullo/compare-addresses
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Matches addresses in different formats, using geocoding. It fetches geocodes from Google Map, compares them, and returns the matching addresses, within some threshold.
The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn more
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = {
8 "group1": [{
9 "key": "Vodičkova 704/36, 110 00 Nové Město",
10 "value": "50.0813488174,14.42542405588",
11 }],
12 "group2": [{
13 "key": "Praha, Vodičkova, 704/36, 110 00",
14 "value": "",
15 }],
16}
17
18# Run the Actor and wait for it to finish
19run = client.actor("marco.gullo/compare-addresses").call(run_input=run_input)
20
21# Fetch and print Actor results from the run's dataset (if there are any)
22print("💾 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# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Developer
Maintained by Community
Actor metrics
- 1 monthly user
- 2 stars
- 100.0% runs succeeded
- Created in May 2024
- Modified about 1 month ago
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