Extract data from requests for proposal
A request for proposal solicits more than a price. Where an RFQ asks suppliers to quote against a fixed specification, an RFP invites vendors to propose how they would meet a need, and it is scored on quality, approach, and qualifications as much as on cost. Public agencies and large enterprises run RFPs for anything hard to reduce to a line item: a five-year facilities-management contract, a software implementation, a consulting engagement. The document a bidder receives sets out the scope, the budget envelope, the evaluation criteria and their weighting, the qualifications a vendor must hold, and a submission deadline that is usually firm to the minute. Under the US Federal Acquisition Regulation an RFP is the instrument of a negotiated procurement, and under the EU procurement directives it drives the open and restricted procedures, so the stakes around getting its terms right run high.
Reading an RFP into structure is awkward because most of it is prose. The scope of work runs for pages, the evaluation methodology hides a scoring rubric inside a paragraph, and required qualifications name specific certifications such as an ISO 9001 registration or an industry license. Key dates scatter through the document: a pre-proposal conference, a questions deadline, the submission deadline, an anticipated award date. Deliverables and milestones each carry their own acceptance criteria. Contract type, duration, governing law, and payment schedule all bear on whether a vendor even wants to bid.
Talonic reads the RFP and returns the issuing organization and its contact, the deadline, the project title and scope, the budget and currency, the evaluation criteria, the required qualifications, and the structured tables of deliverables and key dates. An RFP with a $2,400,000 budget and a 2026-05-15 deadline becomes a record a bid team can triage in minutes instead of a PDF someone reads twice.
What gets extracted from requests for proposal
How extraction works for requests for proposal
RFPs arrive as long PDFs from e-procurement portals, government tender sites, and enterprise sourcing suites, and no two are laid out alike because the content is mostly narrative. Talonic classifies the solicitation and maps it to the RFP model in the Field Registry, which pulls the header identity, the budget and currency, the contract terms, and the evaluation and qualification language out of the prose while keeping the deliverables, key dates, and any line items as their own structured tables. The submission deadline is captured as a first-class field, because a proposal filed a minute late is usually rejected, and the evaluation criteria are preserved with their weighting so a bid team can see how it will be scored. Certifications and licenses named in the qualifications section are surfaced so a vendor can confirm eligibility before committing to a bid. Every extracted field returns with a confidence score and a pointer to where it sits in the source document, consistent with DIN SPEC 91491, so a proposal manager can trace a deadline or a scoring weight back to the page it came from before the team commits resources to responding.
Sample extraction
A public-sector RFP in USD for a five-year facilities contract
{
"document_number": "RFP-2026-FM-07",
"document_date": "2026-04-15",
"deadline_date": "2026-05-15",
"buyer.name": "City of Fairview, Procurement Office",
"buyer.contact_person": "M. Alvarez, Contracting Officer",
"buyer.contact_email": "contracts@fairview.gov.example",
"project_title": "Facilities management services, 2026 to 2031",
"budget_amount": 2400000,
"currency": "USD",
"contract_type": "fixed-price",
"contract_duration": "5 years",
"effective_date": "2026-07-01",
"evaluation_criteria": "Technical approach 60%, price 40%",
"required_qualifications": "ISO 9001 certification; contractor licensed in NY",
"payment_terms": "Monthly, Net 30",
"key_dates": [
{
"event_name": "Pre-proposal conference",
"event_date": "2026-04-24",
"event_time": "10:00 EDT"
},
{
"event_name": "Questions deadline",
"event_date": "2026-04-30"
},
{
"event_name": "Submission deadline",
"event_date": "2026-05-15",
"event_time": "17:00 EDT"
}
],
"deliverables": [
{
"deliverable_id": "D1",
"deliverable_name": "Transition plan",
"due_date": "2026-07-15"
},
{
"deliverable_id": "D2",
"deliverable_name": "Preventive maintenance schedule",
"due_date": "2026-08-01"
}
]
}Frequently asked
How is an RFP different from an RFQ?
An RFP asks vendors to propose an approach and is scored on quality, qualifications, and price together; an RFQ asks for a price against a fixed specification. That is why an RFP extraction pulls scope, evaluation criteria, and qualifications, not just a priced line table.
Does it pull the evaluation criteria and their weighting?
Yes. The criteria and any stated weighting, such as technical 60% and price 40%, are captured from the evaluation section, so a bid team can see how the submission will be scored and where to concentrate its effort.
Can it extract key dates and deliverables as tables?
Key dates (pre-proposal conference, questions deadline, submission deadline, award date) return as a structured array with dates and times, and deliverables return as their own table with acceptance criteria and due dates, so nothing important stays buried in the prose.
What about required qualifications and certifications?
Named certifications and licenses, such as an ISO 9001 registration or a jurisdiction-specific contractor license, are surfaced from the qualifications section so a vendor can confirm it is eligible before spending time on a response.
What fields are extracted from requests for proposal?
Talonic returns requests for proposal as schema-validated, typed fields. Common fields include RFP Number, Issue Date, Submission Deadline, Issuing Organization, and more, each normalized (dates to ISO 8601, amounts as numbers) and mapped to a stable key so the output shape stays the same across layouts.
How accurate is extraction from requests for proposal, and how is confidence reported?
Every extracted cell carries a confidence score from 0.0 to 1.0 and a provenance pointer back to the source page and region, so low-confidence values can be reviewed against the original before the data is trusted downstream. There is no single accuracy number: confidence is reported per field so you can gate on it.
Can I use requests for proposal extraction in production?
Yes. The same engine behind this guide is available as a production REST API and Node SDK with sync, async, and streaming modes, schema versioning, signed webhooks, and EU-resident processing. Start free with an API key, then scale on usage-based pricing.
What does it cost to extract data from requests for proposal?
There is a free tier for prototyping and agent evaluation with no credit card. Paid usage is credit-based at 1,000 credits per euro: page ingestion is 100 credits per page and registry-resolved queries are free. See talonic.com/pricing for current rates.
Ready to extract from your own requests for proposal?
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Author note
Reviewed by Talonic engineering · last reviewed 2026-07-06