Get LinkedIn profiles, company pages, and posts
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Read scrapecreators-api first. Execute every operation below through the runtime it selects: the GooseWorks MCP tool in terminal-free clients, the GooseWorks CLI in a local terminal, or the direct API with the user's own key. Never assume a shell is available.
Scrape public LinkedIn data including profiles, company pages, and posts.
Uses the ScrapeCreators API through its direct GooseWorks proxy.
Note: Scrape Creators LinkedIn endpoints use full LinkedIn URLs as the query parameter (not usernames).
provider: scrapecreators
method: GET
path: /v1/linkedin/profile
query:
url: https://linkedin.com/in/satyanadella
provider: scrapecreators
method: GET
path: /v1/linkedin/company
query:
url: https://linkedin.com/company/anthropic
provider: scrapecreators
method: GET
path: /v1/linkedin/post
query:
url: https://linkedin.com/posts/somepost
https://linkedin.com/in/username)https://linkedin.com/company/name)User: "Look up Satya Nadella on LinkedIn" Use the Get User Profile operation with the supplied LinkedIn profile URL.
User: "Tell me about Anthropic's LinkedIn page" Use the Get Company Page operation with the supplied LinkedIn company URL.
https://linkedin.com/in/USERNAME)まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Research supported advertising promises from a specific buyer's context, current product facts, customer language and observed ads. Turn them into static, video or copy ideas; match video ideas to actual recipes and save a product-scoped angle bank for write-video-ad-script. Product-led discovery can use verified facts without reviews. Reference persistence and reach are observations, not proof of performance.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze ad campaign performance data (Google, Meta, LinkedIn) to identify what's working, what's wasting budget, and specific cut/scale/test recommendations. Runs statistical analysis, funnel diagnostics, and multi-channel budget reallocation with specific dollar-amount shift recommendations and scenario modeling.
日本語の概要は準備中です。原文の説明を表示しています。
For paid lead-gen and participant-recruitment ads, replaces vanity CPA with true CAC per qualified lead by joining ad-platform data with downstream funnel events, surfaces tracking gaps, and classifies every creative into Scale / Keep / Investigate / Cut.
日本語の概要は準備中です。原文の説明を表示しています。
The intake stage of a Meta ad harness. Researches the brand first, states what it assumes, and asks only what it cannot infer and what would change money, claims or legal exposure if guessed wrong — at most four questions a turn, in plain business language. Writes the brand's stable facts (ads/brand.md), the campaign brief, and a log of what was asked vs assumed. Use it when someone wants to run Meta ads and the brand's ad facts are not yet recorded.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze the message match between your ads and landing pages. Checks if the promise in the ad copy carries through to the landing page headline, body, and CTA. Flags disconnects that kill conversion rates. Works with Google, Meta, and LinkedIn ads.
日本語の概要は準備中です。原文の説明を表示しています。
Turn a brand's facts, a campaign brief and the product into a one-minute Meta ad strategy with its reasoning — goal, audience, objective and placements, budget split, how many ads and how different they must be (generate 3x so the user can choose), the test frame, the success metric, and safety rules for the user to accept. Decides what launch-meta-ad-campaign then executes, and re-reads the strategy after a deep check to show which assumption changed. Use it after intake and before any creative is generated or any campaign is built.
日本語の概要は準備中です。原文の説明を表示しています。