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social-listening-tool
This social-listening tool tracks brand mentions across search and social platforms, then produces reports and notifications.
About social-listening-tool
social-listening-tool is an open-source Python project that tracks brand mentions appearing in public search results for Google, Instagram, Facebook, TikTok, Reddit and X (Twitter). It queries the HasData Google SERP API, uses LLM inference to extract structured insights, saves results as CSV files and chart images, and sends new mentions and insights to a Telegram chat. The workflow runs on a 24-hour cycle.
It is companion code for a YouTube tutorial, licensed under MIT and configured through settings files for brand name, brand description and brand domain. Running it requires Python 3.10+, a HasData API key and an LLM API key; the Telegram bot token and chat ID are optional. Results depend on what Google snippets expose at request time, Google does not return the same results for the same query every time, API usage is tied to the user's HasData account and quota, and LLM output may not be fully consistent.
Key features
- Tracks brand mentions on Google, Instagram, Facebook, TikTok, Reddit and X
- Uses HasData Google SERP API with LLM inference for structured insights
- Exports results as CSV files and PNG chart images
- Sends new mentions and insights to a Telegram chat
- Repeats the scan and report cycle every 24 hours
- Configured through settings files for brand name, description and domain
Best for: Developers and researchers who want a modifiable starting point for building a brand mention monitoring and reporting workflow, including as tutorial material.
Good for
- Open source under the MIT License, so the code can be copied and adapted
- Combines scheduled scanning, structured exports and Telegram notifications in one pipeline
- Covers six named search and social sources in a single workflow
Watch out for
- Only finds mentions that appear publicly in search results, as results depend on what Google snippets expose at request time
- Requires a HasData API key and an LLM API key, and API usage depends on the user's HasData account and quota
- Google tends not to return the same results for the same search query every time, and LLM output may not be fully consistent
social-listening-tool at a glance
- Category
- Social & Communities › TikTok Tools
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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social-listening-tool FAQ
What do I need before running the tool?
Python 3.10+, a HasData API key and an LLM API key. The Telegram bot token and chat ID are optional. Dependencies are installed from requirements.txt, and credentials are set in a .env file.
What does it produce?
Results are saved in the repository output folder as CSV files, including per-source files such as Facebook, Instagram, TikTok, Reddit, X and competitors, plus a chart image in PNG format.
Where does the mention data come from?
It uses the HasData Google SERP API to find brand mentions across Google, Instagram, Facebook, TikTok, Reddit and X, so it only captures mentions that appear publicly in search results.
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