Community Job Board Lead Scanner

Find service leads in community job boards by extracting company, role or project need, required skill, urgency, budget, and contact path.

Community Job Board Lead Scanner is built for one focused job: turning public source pages or pasted research snippets into usable job lead records. It does not try to be a generic webpage scraper. The parser, fields, examples, and dataset schema are shaped around this actor's specific business question.

Use it when you already have public pages, listings, announcements, reviews, directories, or copied snippets and want a repeatable way to extract the information that matters without manually filling a spreadsheet.

Who Uses It

Agencies, consultants, freelancers, recruiters, outbound teams, and B2B service providers looking for companies with urgent needs.

What It Finds

The actor looks for signals connected to find service leads in community job boards by extracting company, role or project need, required skill, urgency, budget, and contact path. It keeps the output focused on fields a buyer can review, filter, enrich, or send into a CRM, spreadsheet, product backlog, procurement workflow, or research database.

The extraction method is specific to this actor:

Job-post parsing with role/skill detection, budget extraction, urgency scoring, contact-path recognition, and service-lead framing.

How It Works

1. The actor accepts public URLs or pasted snippets in jobPostSources.
2. Public URLs are fetched when possible and converted into visible text.
3. Pasted snippets are processed directly, which is useful for pages that block automated fetching or require manual browsing.
4. Actor-specific parsing logic extracts only the fields listed below.
5. Empty or low-information inputs are skipped safely, with clean logs instead of noisy failed rows.

Input

Use jobPostSources for the sources you want to process. Each item can be a public URL or a focused text snippet.

{
    "jobPostSources": [
        "Indie Hackers Jobs: BrightCRM is hiring a part-time HubSpot consultant next week. Apply via careers email.",
        "Shopify Partners Slack job: CartPilot needs a freelance Klaviyo developer ASAP for checkout retention flows. Budget $4,000.",
        "NoCode Founders board: DataNest seeks Bubble developer for internal dashboard redesign, remote contract."
    ],
    "maxResults": 3
}

Output Fields

• communityName - Community, job board, Slack group, or niche source.
• companyName - Company or organization connected to the signal.
• jobPostUrl - Job post or hiring source URL.
• roleOrProject - Role, project, or service need mentioned in the post.
• requiredSkill - Skill, tool, or platform expertise requested.
• workArrangement - Work format such as freelance, contract, part-time, or remote.
• budgetOrSalary - Budget, salary, or project value when visible.
• urgencySignal - Urgency based on wording such as ASAP or next week.
• contactPath - Apply, email, DM, or contact method mentioned.
• leadAngle - Suggested outreach angle for a service provider.

Example Output

{
    "communityName": "Indie Hackers Jobs",
    "companyName": "BrightCRM",
    "jobPostUrl": "https://example.com/job",
    "roleOrProject": "a part-time HubSpot consultant",
    "requiredSkill": "HubSpot",
    "workArrangement": "part-time",
    "budgetOrSalary": "$4,000",
    "urgencySignal": "urgent",
    "contactPath": "apply via careers email",
    "leadAngle": "Offer HubSpot implementation help"
}

Best Use Cases

• Build a focused spreadsheet from repeated source pages.
• Review public signals before sales, partnership, product, procurement, or market research work.
• Monitor a category over time using the same output fields.
• Turn copied notes from newsletters, communities, directories, review pages, or search results into a structured dataset.

Tips For Better Results

• Use source pages that visibly contain the signal you want this actor to extract.
• For hard-to-fetch sites, paste the relevant public text snippet directly into the input.
• Keep each input item focused on one page, listing, announcement, review, or profile.
• Review extracted rows before making high-stakes business, legal, procurement, or security decisions.

Limitations

• The actor does not bypass logins, paywalls, private systems, CAPTCHA, or anti-bot walls.
• The actor extracts from visible text and may miss information hidden behind scripts or user interactions.
• Some fields may be empty when the source does not contain that information.
• Output quality depends on source quality, so focused source text produces the strongest rows.