tgcparser.
SMM · Analytics

20 competitor channels — one structured report

tgcparser collects posts and available metrics from selected channels for a chosen period, helps filter the dataset, and saves the result to CSV/TXT for further analysis.

For whom
SMM specialist / analyst
Industry
Marketing · Competitive analysis
Setup
One project per source set
Result
20 sources · history · CSV/TXT
20 competitor channels — one structured report20 sources · history · CSV/TXT
The task

What needs to be automated

«Recurring competitor analysis means opening dozens of channels, finding posts from the right period, collecting available metrics and merging everything by hand. The collection work takes time that would be better spent on conclusions and strategy.»

Solution

How tgcparser X handles it

  1. Step 1. Add sources

    Put the channels and chats you want to analyze into one project. Accessible private sources can also be used when the connected account has access.

  2. Step 2. Choose a period

    Collect history for a selected date range or leave the project running for new publications.

  3. Step 3. Filter the dataset

    Use keywords, exclusions and AI filtering when the report only needs a particular type of post or mention.

  4. Step 4. Save the result

    Posts and available data can be saved to CSV/TXT for Excel or downstream analytics.

  5. Step 5. Compare and analyze

    Instead of manually browsing sources, you work with an already collected dataset and compare topics, activity, reactions and competitor content.

What this workflow gives you

«Data collection is automated, so time goes into analysis instead of manually opening channels»

01
20

sources in this analysis example

02
Period

history for a selected date range

03
CSV/TXT

structured output for further work

Related channel post

t.me/ru_tgcparser/22

t.me/ru_tgcparser/22
Other workflows
Ready to test it on your own workflow?

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Full functionality · 24 hours · 990 ₽ · no auto-renewal