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WorkflowPublic social data

Explore what people are saying

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Overview

Look for a brand, product or project across LinkedIn, YouTube and Threads. Review matches and remove unrelated namesakes.

What you give

Brand, product or project name

What you get

Public mentions you choose with their source links

Explore what people are saying is designed to turn relevant LinkedIn, YouTube, Threads activity into a structured dataset. Start from the source you choose, review the available records, and retain the context that explains each result. Read the tutorial for configuration steps.

Before you run: Use available credits for live runs without manual activation. Runs remain subject to service availability and account restrictions. Check Settings and review the maximum credit cost before starting.

Coverage and limits

  • Public LinkedIn data. No LinkedIn login or account actions. Some information may be missing or unavailable.
  • Public results may be incomplete. The limit is a maximum, not a guaranteed collection size.
  • Results are not guaranteed to be recent or exhaustive.
  • Connected lookups have input limits. Review each step before running. Matching names across platforms do not prove a shared identity.

Steps in this workflow

  1. Search posts
  2. Find videos
  3. Search posts
  4. Combine
  5. Filter
  6. Choose results
  7. Export

What you give / What you get

You choose the public source and the research task. The available output keeps useful profile or activity fields together with their original context.

What you giveWhat you get
Brand, product or project namePublic mentions you choose with their source links
Your record limit and selection criteriaSource context and available public details
Your saved resultsAvailable records with their source links

The source determines what is accessible. Review field coverage and original records before using the dataset for a decision.

What you can do with Explore what people are saying

Use this focused tool as a starting point for a broader research workflow:

  • Collect around a clear source: Start from brand, product or project name, keeping the task specific enough to review the results.
  • Keep useful public details: Inspect fields such as public mentions you choose with their source links, subject to source availability.
  • Preserve context: Keep original activity and source URLs beside the profiles they describe.
  • Review relevance: Select the records that fit your topic, audience or research brief before adding further work.
  • Explore further: Connect a supported profile-detail Scout when the preceding step supplies compatible public profile URLs.
  • Export your selection: Download available saved results as CSV or JSON. Automatic CRM and spreadsheet sync are not available.

Ways to use this social data

A useful list begins with a specific question. These research patterns keep the evidence and the selection criteria close together.

  • Audience research: Understand who participates in a topic and inspect the public context behind their activity.
  • Competitor research: Review relevant public activity around comparable products without assuming engagement proves purchase intent.
  • Creator discovery: Build a shortlist around content, audience fit and a clearly defined partnership brief.
  • Demand research: Look for expressed questions and needs, preserving the surrounding conversation.
  • Profile research: Select useful people first and then inspect their available public profile details.

Workflow ideas to get you started

These templates use supported Scouts and open with their steps already connected. Supply your own sources and review the limits before starting.

Workflow example: comments to profiles

Post commenters → Choose results → Profile details → Export

Why this works

Choose the people behind a LinkedIn conversation and explore their public profiles. Keeping the research question visible helps you decide which records deserve attention and which can be left out.

Who it is for

Anyone exploring public LinkedIn data who wants to choose the records they keep.

How to configure it

  1. Choose linkedin post url.
  2. Inspect the intended output and the source coverage.
  3. Review records against your topic or audience criteria.
  4. Choose the records to keep at the review step.
  5. Keep the evidence attached to the intended delivery format.

Intended outcome

Selected public profiles with source links. Available fields and counts depend on the source.

Open this workflow →

Workflow example: explore a topic

Search posts → Filter → Choose results → Export

Why this works

Find LinkedIn posts, narrow them by your own keywords and choose the discussions to keep. Keeping the research question visible helps you decide which records deserve attention and which can be left out.

Who it is for

Anyone exploring public LinkedIn data who wants to choose the records they keep.

How to configure it

  1. Choose linkedin keywords.
  2. Inspect the intended output and the source coverage.
  3. Review records against your topic or audience criteria.
  4. Choose the records to keep at the review step.
  5. Keep the evidence attached to the intended delivery format.

Intended outcome

Selected posts and their original links. Available fields and counts depend on the source.

Open this workflow →

Workflow example: find and explore people

People search → Choose results → Profile details → Export

Why this works

Search for people, choose profiles and collect the available professional details. Keeping the research question visible helps you decide which records deserve attention and which can be left out.

Who it is for

Anyone exploring public LinkedIn data who wants to choose the records they keep.

How to configure it

  1. Choose linkedin keywords.
  2. Inspect the intended output and the source coverage.
  3. Review records against your topic or audience criteria.
  4. Choose the records to keep at the review step.
  5. Keep the evidence attached to the intended delivery format.

Intended outcome

A chosen list of detailed profiles. Available fields and counts depend on the source.

Open this workflow →

Review the source before the next step

Public data can be incomplete or change over time. Keep the observation separate from your interpretation, preserve missing fields, and review the original source when accuracy matters.

Frequently asked questions

How do I get started with Explore what people are saying?

Choose brand, product or project name and open the Scout or workflow from this page. Inspect the available fields, set a record limit and review the maximum credit cost. The tutorial explains each configuration step.

Can I run this tool today?

Use available credits for live runs without manual activation. Runs remain subject to service availability and account restrictions. Check Settings and review the maximum credit cost before starting.

Which fields can appear in the output?

Available output includes Public mentions you choose with their source links. The source and provider determine which details are accessible. Missing information should remain missing, with coverage visible alongside the records that are available.

Does the source include every public record?

A public total is not a guarantee of complete coverage. Some records may be inaccessible, removed, or outside a provider's supported scope. Review the accessible records and their original links before treating a list as complete.

How many records can I collect?

Review the limits and maximum credit cost shown in setup. A record limit is a ceiling, not a guaranteed count. Connected lookup steps also limit how many inputs they process.

Can I connect this tool to another workflow step?

Yes. Use supported Scouts with compatible inputs, filters, deduplication, review, combine and export steps. Saving a workflow does not start it; collection begins only when you explicitly run it with enabled access.

Is AI classification included?

These templates do not promise AI classification. Keyword filtering and manual review work without AI. AI steps use available credits and require AI service availability; a question mark filter is not an intent score.

Does CrowdYeti find email addresses or phone numbers?

No. Profile Scouts collect public bios and website links where a profile shows them. CrowdYeti does not find or verify email addresses or phone numbers. Check the original source before relying on any field.

Does this automation send messages?

Automated DMs, follows, comments, and publishing are outside the current product scope. These workflows focus on public social data, profile selection, and research. No social account session is needed for these public-data Scouts.

How will I receive my results?

Open Runs to inspect available saved results and download CSV or JSON. Exports contain the records actually collected. Automatic CRM and spreadsheet synchronization are not available.

Ready to explore the workflow?

Start with a focused source and inspect the intended steps in the CrowdYeti editor.

Put your results to work

Connect your research to another focused social tool.

Go further

How to configure Explore what people are saying

  1. Choose brand, product or project name as your research source.
  2. Review the source, supported options and record limits in CrowdYeti.
  3. Check workspace access and maximum credit cost, then start the run and review its saved results.
Read the complete tutorial →

Have a question about this automation?

Explore the current product and workflow guides.

Getting started