Enrich LinkedIn Page
/enrich-linkedin-pageEnrich a company from its LinkedIn page and get back its description, specialties and employee count for 0.5 credits per call.
Overview
Enrich LinkedIn Page is a SyncGTM MCP tool that takes a LinkedIn company page and returns that company's description, specialties and employee count. It accepts a LinkedIn id, a full page URL, or a company name as the identifier, so it runs straight off a CRM export or a sourced list. At 0.5 credits per call it is the cheapest company enrichment on the server — four times cheaper than enrich_organization and six times cheaper than premium_linkedin_page_insights, which makes it the right first pass over a whole account list.
What it does
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Takes one input: `identifier`. That can be a LinkedIn company id, a full page URL like linkedin.com/company/stripe, or a plain company name the tool resolves for you.
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Returns the company's own description, its specialties list, and a current employee count — the documented record, which the docs note can carry further page fields on top.
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Prefers the URL or id over the name. Names collide across regions and subsidiaries, so a URL is the only unambiguous input.
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Returns no contact data. There are no emails or phone numbers anywhere in this tool's output, and firmographics like funding, revenue band and technologies come from `enrich_organization`, which takes a `domain` at 2 credits.
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Does not return trends. Employee count is a single point-in-time number — growth over time is `head_count_growth_rate` (2 credits), and the split by team is `headcount_by_department` (2 credits).
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Costs 0.5 credits per call, flat, whether the page is rich or thin. There is no batch parameter: 200 companies is 200 calls and 100 credits.
How to use it
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Download the skill file — it saves as enrich-linkedin-page.zip.
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In Claude, open Settings → Capabilities → Skills and upload the .zip (or unzip the enrich-linkedin-page/ folder into .claude/skills/ for Claude Code).
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Connect the SyncGTM MCP server using the setup guide for your client. Browser sign-in, no API key to paste.
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Paste your LinkedIn company page URLs — one or a whole column — and type /enrich-linkedin-page. The skill deduplicates, quotes the credit cost, and runs check_credits before it spends.
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Tune the batch cap, the one setting worth changing. It defaults to 100 pages (50 credits) per run, and raising it past 200 pages trips the 100-credit confirmation gate, so set it deliberately before a full TAM pass and lower it while testing.
Use cases
First-pass TAM enrichment
Enrich every account on a freshly sourced list at 0.5 credits, then spend 2 credits on enrich_organization only for the accounts that survive your filter. A 500-company list qualifies for 250 credits instead of 1,000.
Inbound signup triage
Turn a self-serve signup's LinkedIn page into employee count and specialties the same morning it lands, so the account routes to product-led or to a rep before the trial cools.
CRM company backfill
Fill blank description, specialties and size fields on account records that only carry a LinkedIn URL. Cheap enough to run across the whole object, not just the open pipeline.
Pre-call account context
Pull a company's own description and specialties in one call before a discovery call, so the rep opens using the words the prospect uses about themselves.
GTM workflow examples
Qualify a 500-account TAM list for 250 credits
- 1Run `find_companies` with `industries` ["Software Development"], `employee_count_ranges` ["51-200", "501-1000"] and `countries` ["United States"] at `limit` 100, then page with `cursor` four more times — `limit` caps at 100 per call. 500 companies for 150 credits, returned as company names and primary domains.
- 2Run `check_credits` (free) to confirm the balance covers the 250-credit enrichment pass.
- 3Run `enrich_linkedin_page` once per company, passing the company name as the `identifier` — 250 credits — producing description, specialties, employee count and the page each name resolved to.
- 4Filter on specialties text for your category keywords and drop anything under 50 employees. Roughly 60 accounts survive.
- 5Run `enrich_organization` on the 60 survivors only, using the `primary_domain` find_companies already returned — 120 credits — adding funding, revenue band and technologies.
Outcome: A 60-account qualified target list with description, specialties, headcount, funding and tech stack, sourced and enriched for 520 credits instead of the 1,150 a full enrich_organization pass would have cost.
Monday inbound signup routing
- 1Take the weekend's self-serve signups from your CRM export, keeping both the company LinkedIn URL and the signup email domain.
- 2Run `enrich_linkedin_page` on each LinkedIn URL, capped at 100 — 50 credits — returning employee count and specialties per signup.
- 3Split the list at 200 employees: everything below stays product-led, everything above becomes a sales-assist account.
- 4Run `premium_linkedin_page_insights` on the sales-assist accounts only — 3 credits each — for hiring patterns and employee distribution to size the deal.
- 5Run `find_people_within_company` on each of those accounts using the signup email domain — 1.5 credits each, `job_title` ["VP Revenue Operations", "Head of Revenue Operations"] — then `find_work_email` at 1 credit on the `linkedin_url` each returned profile carries.
Outcome: A routed signup sheet where every product-led account is tagged and every sales-assist account carries a named buyer with a work email, ready for the Monday standup.
Refresh stale CRM company records
- 1Export accounts whose description or employee-count field is blank or older than 12 months, keeping the LinkedIn URL column.
- 2Run `check_credits`, then `enrich_linkedin_page` across the export in batches of 100 — 50 credits per batch — to refresh description, specialties and headcount.
- 3Flag every account whose new employee count is more than 20 percent above the stored value.
- 4Run `head_count_growth_rate` on the flagged accounts only, same `identifier` — 2 credits each — to confirm the jump is a real trend and not a page correction.
- 5Run `linkedin_page_posts` on the confirmed growers — 0.3 credits each, `company_url` plus `max_posts` — to pull a recent post as the opener for the re-engagement email.
Outcome: A CRM update file with refreshed descriptions, specialties and headcounts for the full account object, plus a short growth-signal list where each row carries a dated post to reference in the first line.
Prompts
Paste any of these into Claude once the skill is installed and the SyncGTM MCP is connected.
Enrich linkedin.com/company/stripe with enrich_linkedin_page and show me the description, specialties and employee count.Enrich the LinkedIn company page for Ramp using enrich_linkedin_page. Tell me which page URL you resolved the name to before you show the record.Here are 100 LinkedIn company page URLs. Enrich all of them with enrich_linkedin_page — not enrich_organization, I want the 0.5-credit tool. Stop at 100, return one row per company with description, specialties and employee count, and report credits used.Run check_credits first, then enrich these 40 LinkedIn company pages with enrich_linkedin_page. Flag every company under 50 employees so I can drop them, and give me the survivors as a table.Use find_companies with industries ["Software Development"], employee_count_ranges ["51-200"], countries ["United States"] and limit 50. Then run enrich_linkedin_page once per company, passing the company name as the identifier, and return a table of company, resolved LinkedIn page, specialties and employee count with total credits spent.Best practices
Name the tool in the prompt. Left to choose, a client reaches for enrich_organization at 2 credits and quadruples the bill on the same list.
Pass the LinkedIn URL or id whenever you have it. A company name is accepted but resolves ambiguously across regions and subsidiaries — ask the skill to report which page it matched.
Make it the default first pass. Enrich the entire list at 0.5 credits, filter on specialties and headcount, then escalate only the survivors to enrich_organization (2 credits) or premium_linkedin_page_insights (3 credits).
Do not use it for growth data. The employee count is one number from the page today — head_count_growth_rate (2 credits) gives the trend, headcount_by_department (2 credits) gives the split.
Deduplicate before you run. There is no batch parameter, so a repeated URL in a pasted CRM export is a second 0.5-credit call for the same record.
Cap the batch and run check_credits (free) first. A 500-page pass is 250 credits, and the cost is identical whether a page returns a full record or a thin one.