Hashtag & Mention Extractor

Hashtag & Mention Extractor | Online Free Tool | Elysia Tools

Tool usage guide

Learn when to use this tool, what it supports, and how real users apply it.

Key facts

Category: Text Processing
Input types: textarea, checkbox, select
Output type: json
Sample coverage: 4
API ready: Yes

Overview

The Hashtag & Mention Extractor is a text processing tool that quickly identifies and extracts hashtags (#topic) and user mentions (@username) from social media content like tweets and Instagram posts, simplifying analysis and tracking.

When to use

When analyzing social media posts to identify trending topics or key influencers.
When compiling engagement reports that require lists of mentioned users or hashtags.
When filtering large volumes of text to find specific tags or mentions for research or curation.

How it works

1Paste your social media text into the input field.
2Select options to extract hashtags, mentions, or both, and choose to remove duplicates.
3Pick a sorting method: alphabetical, by frequency, or preserve original order.
4The tool processes the text and outputs a JSON list of the extracted items.

Use cases

Social media managers tracking brand mentions and campaign hashtags across platforms.
Researchers analyzing public discourse by extracting tags and mentions from posts.
Content creators identifying popular hashtags to optimize post visibility and engagement.

Examples

1. Extracting Hashtags from a Twitter Thread

Social Media Analyst

Background

A social media analyst needs to identify all hashtags used in a viral Twitter thread to understand conversation themes for a report.

Problem

Manually scanning through hundreds of tweets to list hashtags is time-consuming and prone to errors.

How to use

Copy the text from the Twitter thread, paste it into the tool, ensure 'Extract Hashtags' is checked, and enable 'Remove Duplicates'.

Extract Hashtags: true, Extract Mentions: false, Remove Duplicates: true, Sort By: alphabetical

Outcome

A clean JSON list of unique hashtags sorted alphabetically, ready for trend analysis.

2. Compiling User Mentions for an Influencer Report

Marketing Manager

Background

A marketing manager wants to create a report on which influencers are mentioning their brand on Instagram to assess partnership effectiveness.

Problem

Extracting all @mentions from multiple Instagram captions manually is inefficient and incomplete.

How to use

FAQ

What types of text can I use with this tool?

Any text containing hashtags (#) or mentions (@), such as tweets, Instagram captions, or Facebook posts.

Can I extract only hashtags or only mentions?

Yes, you can toggle the 'Extract Hashtags' and 'Extract Mentions' options to include only one or both.

How does the 'Remove Duplicates' option work?

When enabled, it ensures each unique hashtag or mention appears only once in the results.

What sorting options are available?

You can sort results alphabetically (A-Z), by frequency of occurrence, or keep the original order.

Is there a limit to the text length?

The tool handles typical social media text lengths, but very large inputs may take longer to process.

Extract Hashtags: false, Extract Mentions: true, Remove Duplicates: true, Sort By: frequency

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Inputs

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Learn when to use this tool, what it supports, and how real users apply it.

Key facts

Overview

When to use

How it works

Use cases

Examples

1. Extracting Hashtags from a Twitter Thread

2. Compiling User Mentions for an Influencer Report

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