RFP Deadline Opportunity Monitor

Extract bid opportunities, deadlines, buyer organizations, and fit reasons from public RFP text.

This actor is built for buyers who do not want a noisy scrape. It turns simple public text, snippets, or URLs into a compact dataset with only the fields that matter for the workflow. It is intentionally limited to clean, useful rows instead of dumping page text, actor names, internal scores, or duplicate metadata.

What it is best for

• Fast marketplace-ready research runs
• Lead qualification and enrichment workflows
• Competitive intelligence and monitoring
• CSV exports for sales, marketing, product, and operations teams
• AI-agent workflows that need predictable fields

Input

The input is intentionally simple:

• items - paste snippets, page text, job posts, review text, announcements, or public URLs.
• maxResults - choose how many rows to save, from 1 to 20.

You do not need selectors, CSS rules, browser settings, login cookies, or complicated configuration.

Output

Each saved dataset item contains only these useful fields:

• opportunityTitle - OpportunityTitle extracted or inferred from the supplied text.
• buyerOrganization - BuyerOrganization extracted or inferred from the supplied text.
• submissionDeadline - SubmissionDeadline extracted or inferred from the supplied text.
• estimatedBudget - EstimatedBudget extracted or inferred from the supplied text.
• serviceCategory - ServiceCategory extracted or inferred from the supplied text.
• fitReason - FitReason extracted or inferred from the supplied text.
• sourceUrl - SourceUrl extracted or inferred from the supplied text.

Example input

{
    "items": [
        "City of Phoenix seeks proposals for website redesign and CMS migration. Budget up to $85,000. Proposals due August 18, 2026.",
        "State university RFP: marketing automation implementation partner. Deadline: September 2, 2026.",
        "County health department requests cybersecurity audit services, budget $120k, due 2026-08-25."
    ],
    "maxResults": 3
}

Example output

{
    "opportunityTitle": "Website redesign and CMS migration",
    "buyerOrganization": "City of Phoenix",
    "submissionDeadline": "August 18, 2026",
    "estimatedBudget": "$85,000",
    "serviceCategory": "web development",
    "fitReason": "Good fit for agencies offering CMS migration and public-sector website delivery.",
    "sourceUrl": "manual input"
}

Why this actor is useful

Many scrapers return too much raw data. This actor is shaped for a buyer who wants a ready-to-use spreadsheet: one row per useful signal, clean columns, and no unnecessary filler fields. That makes it easier to plug into Google Sheets, Airtable, CRMs, lead scoring tools, research reports, and AI workflows.

Recommended pricing

Best model: Pay per event / per dataset item.

Recommended event: apify-default-dataset-item

Suggested price: $0.0045 per RFP opportunity.

This is predictable for users because every paid event maps to one visible dataset row.

Limitations

• The actor works best with public pages or pasted text.
• It does not bypass logins, paywalls, CAPTCHA, or private data restrictions.
• Fields are extracted from visible text and may need human review for high-stakes decisions.
• For very large monitoring jobs, split inputs into batches to keep results easy to inspect.

Categories

BUSINESS, LEAD_GENERATION

Search keywords

rfp monitor, procurement leads, bid opportunities, deadline tracking