Usaspending Prime Contractor Leads Scraper
Pricing
from $8.00 / 1,000 leads
Usaspending Prime Contractor Leads Scraper
Extracts B2B leads from USASpending.gov: companies that won federal prime contracts. Filter by NAICS code, awarding agency, date range, and minimum contract value. Returns recipient name, UEI, award amount, agency, NAICS industry, performance location, and direct USASpending URL per award.
Pricing
from $8.00 / 1,000 leads
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0.0
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Developer
GoCreative AI
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
3 days ago
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Extracts B2B leads from USASpending.gov: companies that won federal prime contracts. Filter by NAICS code, awarding agency, date range, and minimum contract value. Returns recipient name, UEI, award amount, agency, NAICS industry, performance location, and direct USASpending URL per award.
No API key, no signup, no subscription — pay only for what you scrape. Clean, structured output ready for CSV, JSON, Excel, or direct API export into your own pipeline.
What this scraper does
Extracts B2B leads from USASpending.gov: companies that won federal prime contracts. Filter by NAICS code, awarding agency, date range, and minimum contract value. Returns recipient name, UEI, award amount, agency, NAICS industry, performance location, and direct USASpending URL per award.
Every run pulls fresh data straight from the source and pushes clean, typed records to the dataset — ready for your CRM, spreadsheet, AI agent, or data pipeline.
Use cases
- B2B lead generation — build targeted prospect lists with verified, structured data
- Sales prospecting — find companies and contacts that match your ICP
- Market research & competitive intelligence — track an industry or niche in structured form
- AI agents & automation — feed agents clean external data without scraping infra
- Data enrichment — append fresh fields to your existing lists
Input
| Field | Description |
|---|---|
start_date | Filter contracts with a start date on or after this date (YYYY-MM-DD). |
end_date | Filter contracts with a start date on or before this date (YYYY-MM-DD). |
min_award_amount | Only include contracts at or above this dollar value. |
naics_codes | Filter by one or more NAICS industry codes, e.g. ["541511", "336411"]. Leave empty for all industries. |
awarding_agency | Filter by top-level awarding agency name, e.g. "Department of Defense". Leave empty for all agencies. |
award_types | Contract type codes: A=BPA Call, B=Purchase Order, C=Delivery Order, D=Definitive Contract. Default includes all four. |
max_results | Maximum number of unique recipient companies to return. |
Output
Every result is a clean structured record. Export the full dataset as CSV, JSON, or Excel from the Apify console, or pull it via the Apify API straight into your own tools.
Why use this actor
- Scrape usaspending prime contractor leads — fast, structured, reliable.
- Usaspending prime contractor leads data export (csv, json, excel) — fast, structured, reliable.
- Usaspending prime contractor leads api alternative — no key required — fast, structured, reliable.
- Automated usaspending prime contractor leads monitoring on a schedule — fast, structured, reliable.
- Structured usaspending prime contractor leads records for ai agents and pipelines — fast, structured, reliable.
How it works
This actor pulls data directly from the source, structures it into clean rows, and pushes each result to the dataset. It runs on Apify's infrastructure — reliable, schedulable, and pay-per-result so you only pay for data you actually get.
Pricing
Pay-per-result via the Apify Store. No monthly subscription, no minimums — run it once or schedule it daily; you're only charged for the results returned.
FAQ
Do I need an API key or account? No. Just provide your input and run it.
Can I schedule it to run automatically? Yes — use Apify Schedules to run it hourly, daily, or weekly and get fresh data on autopilot.
What formats can I export? CSV, JSON, Excel, or via the Apify API.
Can I integrate it into my own app? Yes — call it via the Apify API and pull results directly into your pipeline.
Is the data accurate and fresh? Data is pulled live from the source on each run, so it reflects what's available at run time.