You don't need a SAM.gov API key to get a daily list of new contract opportunities for your NAICS codes. SAM.gov publishes every current contract opportunity as a public CSV that it regenerates once a day. With a bit of care, you can read just the part you need in under a second and turn it into a digest like this:

- [MCC Software Development Recompete](https://sam.gov/opp/eb0fceb8429d48a59dbe967937b9717e/view) Sources Sought | MILLENNIUM CHALLENGE CORPORATION | NAICS 541512 | No Set aside used | due 2026-10-29

The file

The Contract Opportunities extract lives in SAM.gov's Data Services, and this URL redirects to the current file:

https://sam.gov/api/prod/fileextractservices/v1/api/download/Contract%20Opportunities/datagov/ContractOpportunitiesFullCSV.csv?privacy=Public

Three facts about it make the script below possible:

  1. It's sorted newest first by PostedDate. You can stream it and stop as soon as you pass your window, instead of downloading the whole (large) file.
  2. It's Windows-1252, not UTF-8. Decode it as UTF-8 and you'll hit errors or garbled characters in titles and descriptions.
  3. It's regenerated once a day. The Last-Modified header tells you which day's data you're looking at. A notice posted today usually appears in tomorrow's file.

Useful columns: NoticeId, Title, Sol#, Department/Ind.Agency, PostedDate, Type, SetASideCode, SetASide, ResponseDeadLine, NaicsCode, Active and Description.

The script 

import csv, io, requests from datetime import date, timedelta EXTRACT = ("https://sam.gov/api/prod/fileextractservices/v1/api/download/" "Contract%20Opportunities/datagov/ContractOpportunitiesFullCSV.csv?privacy=Public") NAICS = ("5415",) # prefixes: 5415 covers 541511, 541512, 541519... SET_ASIDES = None # e.g. {"SBA", "8A", "SDVOSBC"}; None = any DAYS = 2 since = (date.today() - timedelta(days=DAYS)).isoformat() hits, scanned = [], 0 with requests.get(EXTRACT, stream=True, timeout=60) as r: r.raise_for_status() print("extract last modified:", r.headers.get("Last-Modified")) r.raw.decode_content = True for row in csv.DictReader(io.TextIOWrapper(r.raw, encoding="cp1252", newline="")): scanned += 1 posted = row["PostedDate"][:10] if posted < since: break # newest first: everything after this is older  if row["Active"] != "Yes" or row["Type"] == "Award Notice": continue if NAICS and not row["NaicsCode"].startswith(NAICS): continue if SET_ASIDES and row["SetASideCode"] not in SET_ASIDES: continue hits.append(row) print(f"{len(hits)} matches in {scanned:,} rows posted since {since}\n") for row in hits: due = row["ResponseDeadLine"][:10] or "no deadline" print(f"- [{row['Title'].strip()}](https://sam.gov/opp/{row['NoticeId']}/view)") print(f" {row['Type']} | {row['Department/Ind.Agency']} | NAICS {row['NaicsCode']} " f"| {row['SetASide'] or 'no set-aside'} | due {due}")

When I ran it on 22 Oct 2026 (NAICS prefix 5415, last 2 days), it read 2,683 rows, found 40 matches and stopped, all in about a second. Your numbers will differ every day.

Gotchas this handles (and a few it doesn't)

  • Stream, don't download. stream=True plus io.TextIOWrapper over r.raw lets csv.DictReader parse rows as they arrive, so the break actually saves the download. decode_content = True makes sure compressed responses are decoded.
  • NAICS prefixes. startswith(("5415",)) takes a tuple, so you can list several prefixes. Some notices have no NAICS code at all (special notices especially), so they never match a NAICS filter. Drop the filter if you want them.
  • Award notices and inactive rows. The extract includes award notices and inactive notices. Skip them for a bid digest.
  • Set-aside text isn't consistent. "No set-aside" can show up as an empty SetASide or as text like "No Set aside used". Filter on SetASideCode (SBA, 8A, SDVOSBC, WOSB, HZC…), not the description.
  • Deadlines carry their own time zone, for example 2026-11-20T15:00:00-05:00. Slicing the first 10 characters gives the local date. Parse the full string if you're comparing across zones.
  • Not handled: attachments and changes. The CSV has no attachments, and this script only looks at newly posted notices. For anything you're actually bidding on, follow the notice on SAM.gov and re-read the attachments before you submit.

Run it every morning

The extract is regenerated once a day, so run the script once a day, a few hours after the file updates (the Last-Modified header shows when that was). A cron line like 0 12 * * 1-5 python3 sam_digest.py > digest.md and any mail or Slack step you already have will do. To avoid repeats across days, save the NoticeIds you've sent and skip them next time.

The one-call version (disclosure: we built this)

We packaged this as a pay-per-use Apify Actor: SAM.gov & Grants.gov Scraper. It isn't an official government product and isn't affiliated with GSA or SAM.gov.

  • No key. It reads the same public daily extract, stops at your date window, and gives every row a source_updated_at taken from the extract's Last-Modified time.
  • Filters applied in code on every row: keyword (whole phrases, with matchedKeywords on each row), NAICS prefix, agency, set-aside code, notice type, posted window and due date.
  • Grants too. Set opportunityType to both for Grants.gov opportunities in the same schema.
  • Only new notices. Turn on monitorMode and schedule it daily to get only notices you haven't seen before.
  • Amendment alerts. List the solicitation numbers you're bidding on in trackSolicitationNumbers, and a daily run reports new notices, amendments, deadline moves and notices leaving the active list. Alerts are next-day, not real-time (more here). 
from apify_client import ApifyClient client = ApifyClient("<APIFY_TOKEN>") run = client.actor("yourevenings/us-gov-opportunities").call(run_input={ "opportunityType": "contracts", "naicsCodes": ["5415"], "postedWithinDays": 2, "maxResults": 0, }) for opp in client.dataset(run["defaultDatasetId"]).iterate_items(): print(opp["postedDate"], opp["noticeType"], opp["agency"], opp["title"], opp["responseDeadline"])

If you'd rather use the keyed SAM.gov API, we wrote up its rules (key, MM/dd/yyyy dates, the default limit of 1, paging) here: SAM.gov API for contract opportunities.

Prices are on the Actor's Pricing tab.

Which NAICS codes do you track? Tell us in the comments.