Create an event list from the most reliable input you already have: a prepared file, a supported LinkedIn event, or a clearly scoped request to the Scraping Service. Choose the route first, then qualify the people or companies before planning outreach.
Event workflows are time-sensitive, but the event date is not a reason to skip data checks, consent and exclusion rules, or sender safeguards. Work backwards from the event and leave time for collection, enrichment, review, and corrections.
| What you have | Recommended route | Important check |
|---|---|---|
| A prepared attendee or exhibitor file | Use the relevant XLSX upload for people or companies. | Clean the file, remove duplicates, and confirm that you may process the data. |
| A supported LinkedIn event URL | Use Find attendees of a specific event where it is available. | Use the exact event URL. LinkedIn availability can change, and not every event may be discoverable. |
| A public event website or exhibitor directory | Request the Scraping Service if that option is available. | Describe the source and desired output precisely; the service must assess feasibility. |
| A login-protected portal or mobile event app | Ask whether the Scraping Service can support the source. | Do not paste credentials into free-text fields, comments, or the chatbot. Agree on a secure access method if access is required. |
| No attendee data, only an event topic | Do not assume a topic-based attendee source exists. | Use the sources currently shown in your workspace or start from another approved data source. |
A source being technically accessible does not make every record suitable for outreach. Preserve the source context and separate collection from qualification.

A good request lets the service assess the source and deliver the right structure without guessing. Describe the result, not only the website.
Do not include passwords, access tokens, private invitation links, or personal data in the description. If restricted access is necessary, wait for an approved secure handover method.


Work backwards from the date rather than starting outreach as soon as records arrive. Collection and enrichment can reveal missing or outdated data, and every segment still needs a human quality review.

| Problem | Solution |
|---|---|
| The LinkedIn event cannot be found | Check the exact URL and whether the event is current and accessible. LinkedIn event discovery can be incomplete; use an approved file or request another supported route if needed. |
| The event page is login-protected | Use the Scraping Service request flow and explain the source and outcome. Never include login credentials in a free-text request. |
| The result contains many irrelevant roles | Keep the raw event data separate from qualification. Apply persona criteria, company fit, exclusions, and a manual review before outreach. |
| The Scraping Service request is unclear | Add the event name, date, official URL, source type, required output, relevant fields, and whether you need people, companies, or both. |
| The event date is too close for safe outreach | Reduce scope or use the list for follow-up instead. Do not bypass enrichment review, message review, or sender limits to meet the date. |
Choose your list source by starting with what you already have and what you want the list to do next. If you begin with the source name alone, it is easy to pick something too broad, too narrow, or not available in your workspace.
LinkedIn activity can help you build timely lists from profile visits, followers, events, posts, engagement, or prepared LinkedIn URLs. Use the source that matches the specific signal, then qualify the people before you treat them as outreach candidates.
Use AI Company Search to describe target companies in natural language, and use news or signal monitoring to watch for specific events. Both work best when your prompt is verifiable, your exclusions are explicit, and each result has a defined review or follow up action.