Overview
Organize public professional profiles into a consistent research dataset.
What you give
LinkedIn profile URLsWhat you get
LinkedIn Profile Export is designed to turn relevant LinkedIn 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.
Note: This tool is in development. The current editor supports draft configuration; live provider execution, enrichment and delivery are still being connected.
What you give / What you get
You choose the public source and the research task. The intended output keeps useful profile or activity fields together with their original context.
| What you give | What you get |
|---|---|
| LinkedIn profile URLs | Name, Headline, Company |
| Your record limit and selection criteria | Location, Profile URL |
| Optional enrichment selection | Public details with evidence and verification states |
The source determines what is accessible. Review field coverage and original records before using the dataset for a decision.
What you can do with LinkedIn Profile Export
Use this focused tool as a starting point for a broader research workflow:
- Collect around a clear source: Start from linkedin profile urls, keeping the task specific enough to review the results.
- Keep useful public details: Inspect fields such as name, headline, company, 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.
- Choose optional enrichment: Research additional public details only for the people you select.
- Plan delivery: CSV is the first intended output format, with connected destinations planned for later.
How teams can 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 investigate their public contact paths with evidence.
Workflow ideas to get you started
Connect this tool to review, selection and enrichment steps. Each playbook describes a research goal and the intended sequence in the editor.
Workflow example: turn post engagement into a qualified list
LinkedIn Profile Export → Review records → Select profiles → Optional enrichment
Why this works
Collect public engagers, review their relevance, and prepare a list with source evidence. Keeping the research question visible helps you decide which records deserve attention and which can be left out.
Who it is for
Researchers and teams working with public LinkedIn data who need an inspectable shortlist with clear source context.
How to configure it
- Choose a relevant source for LinkedIn Profile Export.
- Inspect the intended output and the source coverage.
- Review records against your topic or audience criteria.
- Select useful profiles before adding enrichment.
- Keep the evidence attached to the intended delivery format.
Intended outcome
A focused research dataset that explains who was selected and why, with the original social source available for review.
Workflow example: understand who engages with competitors
LinkedIn Profile Export → Review records → Select profiles → Optional enrichment
Why this works
Use public engagement to explore audience overlap and discover relevant people. Keeping the research question visible helps you decide which records deserve attention and which can be left out.
Who it is for
Researchers and teams working with public LinkedIn data who need an inspectable shortlist with clear source context.
How to configure it
- Choose a relevant source for LinkedIn Profile Export.
- Inspect the intended output and the source coverage.
- Review records against your topic or audience criteria.
- Select useful profiles before adding enrichment.
- Keep the evidence attached to the intended delivery format.
Intended outcome
A focused research dataset that explains who was selected and why, with the original social source available for review.
Workflow example: turn profile lists into public contact paths
LinkedIn Profile Export → Review records → Select profiles → Optional enrichment
Why this works
Research the bios, websites, and contact pages behind selected social profiles. Keeping the research question visible helps you decide which records deserve attention and which can be left out.
Who it is for
Researchers and teams working with public LinkedIn data who need an inspectable shortlist with clear source context.
How to configure it
- Choose a relevant source for LinkedIn Profile Export.
- Inspect the intended output and the source coverage.
- Review records against your topic or audience criteria.
- Select useful profiles before adding enrichment.
- Keep the evidence attached to the intended delivery format.
Intended outcome
A focused research dataset that explains who was selected and why, with the original social source available for review.
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 LinkedIn Profile Export?
Choose linkedin profile urls and open the corresponding template in the workflow editor. Inspect the expected fields, set a record limit, and save a draft around your research question. The tutorial explains each configuration step.
Can I run this tool today?
The current workspace supports draft configuration. Live provider execution, enrichment, and delivery are still being developed. Check the product availability guide before depending on a live dataset.
Which fields are intended for the output?
The planned fields include Name, Headline, Company, Location, Profile URL. 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?
Execution limits and credit rates have not been announced. Once live runs are available, review the provider coverage, estimated usage, and record limit before starting. Draft settings are intended configuration, not a promised collection volume.
Can I connect this tool to another workflow step?
Yes, the editor is designed around connected collection, review, and enrichment steps. Keep the purpose of each step clear and inspect its expected input. A configured sequence remains a draft until live execution is available.
Do I have to enrich every profile?
No. Select the profiles that fit your research criteria before adding deeper research. This keeps attention on useful records and lets you preserve the evidence behind each selection.
Will contact details be verified automatically?
Public contact paths and inferred details must have distinct evidence and verification states. This prototype does not promise verified emails or phone numbers. Review provider availability and the original source before relying on an added 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. Outreach capabilities may be considered in the future.
How will I receive my results?
CSV is the first planned delivery format, with connected destinations to follow. The intended output keeps profile details, discovery reasons, and source links together. Current draft configuration does not generate or send an export.
Ready to explore the workflow?
Start with a focused source and inspect the intended steps in the CrowdYeti editor.
