# Whats the best approches to get location from user using Rasa Chat bot

**URL:** <https://forum.rasa.com/t/whats-the-best-approches-to-get-location-from-user-using-rasa-chat-bot/5145>\
**Category:** Rasa Open Source\
**Created:** [February 13, 2019, 5:54am UTC](https://forum.rasa.com/t/whats-the-best-approches-to-get-location-from-user-using-rasa-chat-bot/5145 "2019-02-13T05:54:34Z")\
**Posts on this page:** 1\
**Showing post:** 2

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**Author:** ![mauricedoepke](https://dub1.discourse-cdn.com/flex013/user_avatar/forum.rasa.com/mauricedoepke/32/1961_2.png) [@mauricedoepke](https://forum.rasa.com/u/mauricedoepke)\
**Post date:** [February 13, 2019, 1:12pm UTC](https://forum.rasa.com/t/whats-the-best-approches-to-get-location-from-user-using-rasa-chat-bot/5145/2 "2019-02-13T13:12:18Z")

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The ner spacy extractor does this for you:

See [NLU Training Data](https://rasa.com/docs/nlu/entities/)

and

> **[displaCy Named Entity Visualizer · Explosion](https://demos.explosion.ai/displacy-ent?text=When%20Sebastian%20Thrun%20started%20working%20at%20Google%20in%20Seattle%20but%20than%20moved%20to%20New%20York.&model=en_core_web_sm&ents=person%2Corg%2Cgpe%2Cproduct%2Cnorp%2Cdate%2Cper%2Cmisc)**
>
> Visualise spaCy's guess at the named entities in the document. You can filter the displayed types, to only show the annotations you're interested in.

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