> For the complete documentation index, see [llms.txt](https://scravio.gitbook.io/scravio-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://scravio.gitbook.io/scravio-docs/readme.md).

# Developer Platform

Scravio

Scravio is a cloud email scraper built for modern outreach. Instantly extract verified emails from Instagram, Facebook, YouTube, Twitter, LinkedIn, and TikTok. Our Instagram email scraper, Facebook email scraper, YouTube email scraper, Twitter email scraper, LinkedIn email scraper, and TikTok email scraper turn profiles and channels into qualified lists. De-duplication and validation reduce bounce. Export to CSV or your CRM. Compliance-minded controls support responsible use. For agencies, founders, and creators who want replies—not busywork.\
Website: <https://scravio.com/>\
Phone number: +13024402968\
Address: 1111B S Governors Ave STE 40623, Dover, DE 19904, United States\
\#scravio, #instagramemailscraper, #facebookemailscraper, #twitteremailscraper, #youtubeemailscraper, #tiktokemailscraper

<https://heylink.me/scravio/>
\
<https://500px.com/p/scravio>
\
<https://sites.google.com/view/scravio>
\
<https://www.blogger.com/profile/03860198154213387419>
\
<https://scravio.blogspot.com/2025/11/scravio.html>
\
<https://stocktwits.com/scravio>
\
<https://www.bitchute.com/channel/eICjoi53nxPu>
\
<https://gitlab.com/scravio>
\
<https://sketchfab.com/scravio>
\
<https://www.reverbnation.com/artist/scravio>
\
<https://hub.docker.com/u/scravio>
\
<https://coub.com/scravioapp>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://scravio.gitbook.io/scravio-docs/readme.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.