Targeting + List Building

Webset Fetcher: Pull Exa Webset Data into Claude

Fetch and parse Exa Websets via API. Extract companies and contacts matching your targeting criteria. Bring your webset data into Claude. Free skill.

Direct Exa API integrationStructured data extractionWebset ID lookupCampaign-ready output
[webset-fetch]

The Problem

Why teams struggle without this

Exa Websets are one of the best ways to build targeted company lists using semantic search — finding companies based on what they do, not just industry codes. But the data lives in the Exa platform. Getting it into your Claude workflow means exporting CSVs, reformatting data, and copy-pasting between tools.

If you're running a multi-step outbound workflow in Claude — playbook to targeting to email writing — you need the webset data inside Claude where the rest of your skills can use it. Manual export breaks the flow and adds friction to every campaign.

The ideal workflow is seamless: define your criteria, pull the companies, and immediately feed them into your email writing and campaign launch skills — all without leaving Claude.

What It Does

What Webset Fetcher generates

Webset Fetcher connects to the Exa Websets API and pulls your webset data directly into Claude. It extracts company names, domains, descriptions, and metadata from any webset you've created, then structures the data for immediate use with other skills.

Every output includes:

  • Company list with names, domains, and descriptions from your webset
  • Structured data parsing that extracts clean, usable fields from raw API responses
  • Filtering and sorting options to narrow results by criteria
  • Output formatting ready for Lead Finder, Write Sequence, or campaign creation
  • Webset metadata showing total results, filters applied, and data freshness

Example

See it in action

Input
[webset-fetch] webset_abc123
Output

WEBSET RESULTS: "B2B SaaS Companies Using HubSpot, 50-500 Employees"

Webset ID: webset_abc123

Total results: 247 companies

Showing: First 10

#CompanyDomainDescription
1Acme Analyticsacmeanalytics.comProduct analytics platform for mid-market SaaS. Series B, 180 employees
2BrightHirebrighthire.comInterview intelligence platform. Series A, 85 employees
3Cascade Strategycascade.appStrategy execution platform for enterprise teams. 120 employees
4Dock.usdock.usDigital sales rooms and buyer enablement. Seed stage, 45 employees
5Envoyenvoy.comWorkplace platform for hybrid offices. Series C, 400 employees
...*(237 more results available)*

Results fetched: 247

Data source: Exa Websets API

Freshness: Updated 2 hours ago

Ready for: Lead Finder, Write Sequence, Campaign Launcher

Time to fetch: ~5 seconds

Get Started

Install in 2 minutes

1

Open Claude Projects

Go to claude.ai and open your Projects section. Create a new project or use an existing one.

2

Add the skill instructions

Paste the skill prompt into your Project instructions. This teaches Claude the skill.

3

Start using it

Type `[webset-fetch]` followed by your Exa Webset ID (e.g., webset_abc123). The skill fetches the data via API and returns structured company lists ready for downstream skills.

Use Cases

How teams use this skill

Pull targeted company lists for outbound campaigns

Create a webset in Exa with semantic search criteria, then fetch the results into Claude. Feed the company list directly into Lead Finder and Write Sequence.

Build multi-step targeting workflows

Use Webset Fetcher as the first step in a chain: fetch companies → find contacts → write personalized emails → create Instantly campaign. All inside Claude.

Monitor webset updates for new target companies

Re-fetch your websets periodically to catch new companies that match your criteria. New additions become new leads for your next campaign batch.

Cross-reference webset data with your ICP

Pull webset results and compare them against your ICP criteria. Filter out companies that don't match your firmographic or technographic requirements.

Export and format webset data for team sharing

Fetch webset data and format it for specific team needs — CSV-ready for the SDR team, summary format for the sales manager, detailed analysis for account executives.

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