Government Tenders Scraper | Data API: SAM.gov, TED, $2/1K

What is Government Tenders Scraper?

Get new government tenders from SAM.gov, CanadaBuys and TED (EU) in one run, with buyer, codes, value and deadline, for $2.00 per 1,000 tenders, no login.

For contractors, suppliers and bid teams. Filter by NAICS, UNSPSC and CPV codes, keywords and countries, and get only new notices with a Slack or webhook digest after each run. Your first run with the example input costs about $0.066 (30 tenders in our test run).

Sources	SAM.gov public extract, CanadaBuys open data, TED Search API
Filters	Days back (up to 7), open only, keywords, countries, NAICS, UNSPSC and CPV code prefixes, new tenders only
Output	28 fields per tender; JSON, CSV, Excel, API
Automate	Schedules, webhooks, Zapier, Make, n8n, Google Sheets, MCP for AI agents
Price	$2.00 per 1,000 tenders ($1.40 per 1,000 tenders on paid Apify plans)
Login needed	No

Daily monitor: only what's new, every morning

Set it once, get only the new tenders every morning. With Only new tenders since last run on, the first run returns everything that matches; each later run skips tenders that earlier runs already returned, so you pay only for new ones.

{
  "sources": [
    "sam.gov",
    "canadabuys",
    "ted"
  ],
  "daysBack": 2,
  "keywords": [
    "software",
    "cloud"
  ],
  "incremental": true,
  "stateKey": "software-cloud-tenders"
}

1. Paste this input into the Input tab (JSON view) and click Save as a new task; it appears under Saved tasks.
2. Open the task from Saved tasks and click Schedule.
3. Choose Daily, pick the hour, and save.

Cost example: 2 keywords on 3 sources, about 30 new tenders a day ≈ $1.98/month on the free plan ($1.44 on paid plans): one run a day for 30 days, start fee included. The first run returns everything that matches, so it costs more.

Add a Slack incoming-webhook URL in slackWebhookUrl (or any URL in webhookUrl) to get a short digest of each run's new tenders; nothing is sent when a run finds nothing.

Why Government Tenders Scraper users pick this one

• Three sources, one schema. SAM.gov, CanadaBuys and TED in the same 28 fields.
• Cheaper per tender. $2.00 per 1,000 tenders, cheaper than the leading tools.
• The buyer's own codes. Filter by NAICS, UNSPSC and CPV prefixes.
• New tenders only. Notices you have not seen, plus a Slack or webhook digest.
• No key needed. Official open data: no login, no API key, no proxies.

Get started in 3 steps

1. Pick the sources (SAM.gov, CanadaBuys, TED) and how many days back to look; the defaults return open tenders from the last 3 days, newest first, up to 500 per source. TED alone publishes about 3,500 notices a working day, so a default run returns the newest 500 TED notices, not all three days: the run status names every source that hit the cap, and 'Max results per source' (0 = no limit) raises it.
2. Optionally narrow it: keywords, ISO country codes, NAICS/UNSPSC/CPV code prefixes; turn on 'Only new tenders since last run' for a daily feed.
3. Click Start, then download JSON, CSV or Excel, or schedule the run and send results to Google Sheets, Slack, Zapier, Make or n8n.

▶ Try it with the example input

The form opens with an example input already filled in: that run costs about $0.066 on the free plan.

How much does it cost to scrape government tenders?

Pay per event: you pay only for what the run returns, plus a small start fee. Bronze, Silver, Gold and higher Apify plans pay less per result.

Tenders	Free plan	Paid plans (Bronze, Silver, Gold)
100	$0.21	$0.15
1,000	$2.01	$1.41
10,000	$20.01	$14.01

Totals include the $0.006 start fee per run, rounded to the cent. Apify's free plan includes $5 of credit a month, enough for about 2,500 tenders.

No charge for sources that return nothing. Each run's start fee covers downloading the three sources when your filters match nothing.

Billing events

Event	Free plan	Paid plans (Bronze, Silver, Gold)
tender-result	$2.00 per 1,000 tenders	$1.40 per 1,000 tenders
apify-actor-start	$0.006 per run	$0.006 per run

Benchmarks: how we compare

Test	Input	Result	Run time
Empty input (all defaults)	3 sources, last 3 days, open only, 500 per source	1,032 tenders (SAM.gov 500, CanadaBuys 32, TED 500); the status named SAM.gov and TED as capped	8.4 s
A full week with no cap	CanadaBuys and TED, 7 days, open only, no descriptions	4,921 tenders (CanadaBuys 110, TED 4,811), peak memory 246 MB	71.7 s
New-only mode, first run	CanadaBuys and TED, 2 days, no cap	5,374 tenders (CanadaBuys 31, TED 5,343)	70.5 s
New-only mode, same input again	As above	0 tenders: no repeats	58.3 s
Keyword that matches nothing	3 sources, 7 days, closed notices included, cap 100,000	0 tenders, so no tender charges; platform cost $0.0030, covered by the $0.006 start fee	202.5 s
Field accuracy	10 records: 4 SAM.gov, 3 CanadaBuys, 3 TED	10 of 10 matched the source record field by field, descriptions included	not timed
SAM.gov long descriptions	500 SAM.gov notices from a default run	3 of 500 descriptions reached SAM.gov's 32,000-character cut	not timed

Each timed row is one Apify cloud run at the default 256 MB memory. Accuracy was checked by comparing records with the SAM.gov opportunity API, the CanadaBuys CSV and the TED API. Counts are what the sources published at the time, so yours will differ.

What data you get

Government Tenders Scraper turns public procurement notices from SAM.gov (US federal contract opportunities), CanadaBuys (Government of Canada) and TED (EU Tenders Electronic Daily) into one table: title, buyer, country, notice type, category, status, NAICS, UNSPSC and CPV codes, value where published, publish and closing dates, solicitation number, description, notice link and the point of contact (name, title, email, phone) as the notice publishes it. Filter by keywords, countries and code prefixes, and look back up to 7 days. Switch on new-only mode and schedule it daily for bid alerts.

• Title, buyer (department or contracting authority), sub-agency/office
• Country (ISO code) and state, province or buyer city
• Notice type, category (CanadaBuys: goods, services, construction; TED: supplies, services, works), status (open, closed, awarded)
• NAICS, UNSPSC and CPV codes where the source publishes them
• Estimated or awarded value and currency where published
• Publication date and bid closing time in ISO 8601 UTC (for TED restricted and negotiated procedures, the request-to-participate deadline; the latest lot deadline on multi-lot notices)
• Solicitation number, the notice description (SAM.gov, CanadaBuys, TED) and the official notice link
• Point of contact as published: contact_name, contact_title, contact_email, contact_phone, plus every contact (SAM.gov primary and secondary) in a contacts list
• Stable tender_id for joins and dedupe

source	title	buyer	country	status	naics	value	currency	published_date	closes_at	contact_email
sam.gov	Post Quantum Cryptography (PQC) Readiness and Validation ...	GENERAL SERVICES ADMINISTRATION	US	open	["541519"]			2026-11-06	2026-12-08T04:59:00Z	innovationiwm@gsa.gov
sam.gov	CGC DILIGENCE TUG SERVICES	HOMELAND SECURITY, DEPARTMENT OF	US	open	["488330"]			2026-11-06	2026-11-07T17:00:00Z	Patricia.M.Fremming@uscg.mil
canadabuys	Motor Grader	Government of the Northwest Territories (GNWT)	CA	open	[]			2026-11-06	2026-11-27T21:00:00Z	psstendershayriver@gov.nt.ca
canadabuys	Light on Snow Vehicle (LOSV) Training	Department of National Defence (DND)	CA	open	[]			2026-11-06	2026-11-11T04:59:00Z	melanie.crocker@forces.gc.ca
ted	Austria – Transport equipment and auxiliary products to t...	Salzburger Verkehrsverbund GmbH	AT	open	[]			2026-11-06	2026-12-09T11:00:00Z	leistungsbeschaffung@salzburg-verkehr.at
ted	Germany – Printers and plotters – Druck-Multifunktionssys...	Stadt Dülmen	DE	open	[]			2026-11-06	2026-12-08T09:00:00Z	zvs@duelmen.de

One full tender record, exactly as a real run returned it (long text and lists shortened here). From a real run:

{
  "tender_id": "sam.gov:45d94c40c8144f0e97b0eb5d724ff5b4",
  "source": "sam.gov",
  "notice_id": "45d94c40c8144f0e97b0eb5d724ff5b4",
  "title": "Canned Tomato Products for use in Domestic Food Assistance Program",
  "buyer": "AGRICULTURE, DEPARTMENT OF",
  "buyer_unit": "AGRICULTURAL MARKETING SERVICE / USDA  AMS  3J14",
  "country": "US",
  "region": "DC",
  "notice_type": "Combined Synopsis/Solicitation",
  "category": null,
  "status": "open",
  "naics": [
    "311421"
  ],
  "unspsc": [],
  "cpv": [],
  "value": null,
  "currency": null,
  "published_date": "2026-11-06",
  "closes_at": "2026-11-18T19:00:00Z",
  "solicitation_number": "123J1427B0069",
  "url": "https://sam.gov/opp/45d94c40c8144f0e97b0eb5d724ff5b4/view",
  "description": "Amendment 1 - 11/6/2026 - This amendment adds a 10% SDVOSB set-aside to the following materials: 100333 (Tomato Sauce Ca... [3851 more characters]",
  "contact_name": "Latoya Gainey",
  "contact_title": null,
  "contact_email": "latoya.gainey@usda.gov",
  "contact_phone": "910-824-3151",
  "contacts": [
    {
      "type": "primary",
      "name": "Latoya Gainey",
      "title": null,
      "email": "latoya.gainey@usda.gov",
      "phone": "910-824-3151"
    },
    {
      "type": "secondary",
      "name": "Leeanna Balsley",
      "title": null,
      "email": "leeanna.balsley@usda.gov",
      "phone": "9133403152"
    }
  ],
  "source_url": "https://sam.gov/opp/45d94c40c8144f0e97b0eb5d724ff5b4/view",
  "scraped_at": "2026-11-07T16:37:37Z"
}

Use cases

• Contractors and suppliers getting a daily list of new tenders in their NAICS, UNSPSC or CPV codes
• Bid consultants watching US, Canadian and EU tenders for several clients
• Sales teams finding public-sector buyers for what they sell
• Analysts tracking public procurement by buyer, category and value

Use-case recipes

US IT contractor: a daily SAM.gov feed in your NAICS codes

A small IT services firm schedules this daily for SAM.gov only, with its NAICS prefixes and new-only mode on. Each morning, sort the new rows by closes_at, read notice_type and description, and copy solicitation_number and url into the bid tracker. Two days back covers SAM.gov's one-to-two-day delay.

{
  "sources": [
    "sam.gov"
  ],
  "daysBack": 2,
  "naicsCodes": [
    "5415"
  ],
  "incremental": true,
  "stateKey": "it-services-feed",
  "maxResultsPerSource": 50
}

EU construction supplier: TED notices in your countries

A construction firm watches TED for works notices from buyers in Germany and Austria. Use value and currency to size each job, buyer and region (the buyer's city) to see who is buying, and closes_at for the bid deadline. The title is TED's English rendering; the original title follows it in the buyer's language.

{
  "sources": [
    "ted"
  ],
  "daysBack": 1,
  "countries": [
    "DE",
    "AT"
  ],
  "cpvCodes": [
    "45"
  ],
  "maxResultsPerSource": 50
}

Selling to the Government of Canada

A sales team that sells IT hardware to federal departments pulls CanadaBuys notices in UNSPSC segment 43 once a week. Group the rows by buyer and buyer_unit to see which departments are buying, and pass url and closes_at to the account owner. CanadaBuys lists open notices only.

{
  "sources": [
    "canadabuys"
  ],
  "daysBack": 7,
  "unspscCodes": [
    "43"
  ],
  "maxResultsPerSource": 25
}

Bid consultant: one keyword feed per client, posted to Slack

A consultant runs one saved task per client, each with its own keywords and stateKey so the feeds never share memory. With new-only mode on, each client's Slack channel gets the count and the top 10 new tenders after every run. source and country show at a glance which market each tender is in.

{
  "sources": [
    "sam.gov",
    "canadabuys",
    "ted"
  ],
  "daysBack": 2,
  "keywords": [
    "cybersecurity"
  ],
  "incremental": true,
  "stateKey": "client-acme-cyber",
  "maxResultsPerSource": 25,
  "slackWebhookUrl": "https://hooks.slack.com/services/T000/B000/XXXX"
}

Input

Field	Type	What it does	Default
sources (Sources)	array	Which official sources to read: 'sam.gov' (US federal contract opportunities, public extract), 'canadabuys' (Government of Canada tender notices, open data)...	["sam.gov", "canadabuys", "ted"]
maxResultsPerSource (Max results per source)	integer	Upper limit of results per source after filters, newest first; the run status says when it was hit.	500
daysBack (Published in the last N days)	integer	Keep notices published on or after today minus this many days (UTC).	3
openOnly (Open tenders only)	boolean	Keep only notices still open for bids (closing date not passed; award notices and SAM.gov justifications and special notices excluded).	true
keywords (Keywords)	array	Keep only notices whose title or description contains at least one of these words (case-insensitive), e.g. ['software', 'cybersecurity'].
countries (Countries (ISO codes))	array	Keep only notices from buyers in these countries, as two-letter ISO codes, e.g. ['US', 'CA', 'DE', 'IE'].

All 14 fields, with examples: see the Input tab.

Use with AI agents (MCP)

MCP (Model Context Protocol) is the open standard that lets AI assistants such as Claude, ChatGPT and Cursor call outside tools. Apify's hosted MCP server at https://mcp.apify.com/?tools=aurelix/government-tenders-scraper gives your assistant this Actor only: it fills in the input from your request, runs it and reads the tenders back, at the same per-result price as a run started by hand.

Example prompts

• "Find open US federal tenders on SAM.gov posted in the last 3 days under NAICS 5415 and list the title, agency, closing date and link."
• "Show me EU tenders on TED for construction work (CPV 45) from buyers in Germany published in the last 7 days, with buyer, estimated value and deadline."
• "Get open Government of Canada tenders for IT equipment (UNSPSC 43) from CanadaBuys and sort them by closing date."

Claude Desktop and claude.ai

Settings > Connectors > Add custom connector, name it Apify, paste https://mcp.apify.com/?tools=aurelix/government-tenders-scraper, keep the detected OAuth settings, select Add and sign in to Apify.

Claude Code

$claude mcp add --transport http apify "https://mcp.apify.com/?tools=aurelix/government-tenders-scraper"

Cursor and VS Code

Add this to ~/.cursor/mcp.json (Cursor); in VS Code's .vscode/mcp.json put the same entry under "servers" with "type": "http". Sign in to Apify when asked.

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=aurelix/government-tenders-scraper"
    }
  }
}

ChatGPT

Turn on Developer mode, open Settings > Apps & Connectors > Create, paste the URL above as the MCP server URL, choose OAuth and authorize Apify.

Clients without sign-in send Authorization: Bearer <YOUR_APIFY_TOKEN> instead. No Apify account? This Actor supports Apify's agentic payments: an agent can pay per run with a prepaid, spend-capped token, bought with x402 stablecoin payments.

n8n AI agent

Give an AI Agent node an MCP Client Tool with the endpoint https://mcp.apify.com/?tools=aurelix/government-tenders-scraper and a Bearer credential holding your Apify token.

Use it from AI agents (MCP), the API or no-code

Copy this to your AI assistant

Use the Apify Actor aurelix/government-tenders-scraper (Government Tenders Scraper) through Apify's MCP server or API. Main input: sources (Sources); maxResultsPerSource (Max results per source). Example input: {"sources": ["sam.gov", "canadabuys", "ted"], "daysBack": 1, "keywords": ["software", "cloud"], "naicsCodes": ["5415"], "unspscCodes": ["4321", "8111"], "cpvCodes": ["72", "48"], "incremental": true}. Each result is one tender with fields such as tender_id, source, notice_id, title, buyer, buyer_unit, country, region. It costs $2.00 per 1,000 tenders on Apify's free plan plus a $0.006 start fee per run, and needs no login.

MCP server URL for this Actor: https://mcp.apify.com/?tools=aurelix/government-tenders-scraper (setup for each client in the section above).

API

Start a run and read the dataset with Apify's REST API or the Python and JavaScript clients:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("aurelix/government-tenders-scraper").call(run_input={'sources': ['sam.gov', 'canadabuys', 'ted'], 'daysBack': 1, 'keywords': ['software', 'cloud'], 'naicsCodes': ['5415'], 'unspscCodes': ['4321', '8111'], 'cpvCodes': ['72', '48'], 'incremental': True})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

No-code: schedule it in 3 clicks

Send the results to Google Sheets, Zapier, Make, n8n, Slack or any webhook URL.

1. Fill in the input, then click Save as a new task.
2. In the task, click Schedule and pick daily or weekly (Apify Schedules).
3. Turn on Only new tenders since last run so each run returns only what is new, and paste a Slack or webhook URL into Slack webhook URL / Webhook URL to get a digest of the new items (count plus the top 10) after every run.

Prefer n8n or Make? Ask in the Issues tab and we will share a ready-made workflow for it.

FAQ

Can I scrape government tenders without login?

Yes. It never logs in, so you need no SAM.gov, CanadaBuys or TED account, password or cookies; only a free Apify account to run it.

Is there a government tenders API?

You can use this Actor as one. Start it with Apify's REST API or the Python and JavaScript clients and read the results as JSON (see the code above), or call it from an AI agent through MCP.

How much does it cost to scrape government tenders?

About $2.01 for 1,000 tenders on Apify's free plan and $1.41 on paid plans, start fee included. The free $5 monthly credit covers about 2,500 tenders.

Can I export government tenders data to Excel or Google Sheets?

Yes. Download the results as Excel, CSV, JSON, XML or HTML from the run's Storage tab, or send them to Google Sheets with Apify's Google Sheets integration or the API.

Is it legal to scrape government tenders?

It reads only public data any logged-out visitor can see: the official open data of SAM.gov, CanadaBuys and TED. It goes at a polite pace, never logs in and never solves CAPTCHAs. It returns tender fields (buyer, codes, value, dates, status, link) and the point of contact the notice publishes for bidders (contracting officer or buyer contact: name, title, email, phone). Data is returned as shown publicly on the source; people can ask for removal by opening an issue on this Actor's Issues tab; if a publisher formally asks us to stop, this Actor will stop. You are responsible for using the data lawfully, incl. anti-spam and privacy laws; this is not legal advice.

Do I need a SAM.gov or TED API key?

No. The Actor reads SAM.gov's public Contract Opportunities data extract, the CanadaBuys open dataset and the TED Search API, none of which needs a key.

Does it return the contracting officer's name, email and phone?

Yes, as each notice publishes them: SAM.gov's primary and secondary points of contact (name, title, email, phone), the CanadaBuys contact (often a role such as Contract Administrator, with email and phone) and the TED buyer contact point, email and phone. The first contact is in contact_name, contact_title, contact_email and contact_phone; all of them are in contacts. Nothing is guessed: a field the notice leaves blank stays empty.

How fresh is it?

TED and CanadaBuys update daily. SAM.gov's public extract is refreshed daily and runs one to two days behind the live site, so use 'days back' of 2 or more for SAM.gov.

Why did I get only 500 TED notices?

'Max results per source' defaults to 500, newest first, so a default run is cheap. The run status says 'newest 500 per source only' with the source names whenever the cap cut a source short. Set it higher, or to 0 for everything, and use incremental mode on a daily schedule.

How do code filters work?

Give code prefixes: '5415' matches NAICS 541511, 541512 and so on. A notice passes if it matches any NAICS, UNSPSC or CPV prefix you give. Sources that do not publish any code system you gave are skipped (SAM.gov uses NAICS, CanadaBuys UNSPSC, TED CPV).

How does 'new since last run' work?

The Actor remembers the tender IDs it has returned for the same sources and filters (or for the state name you set) and returns only unseen ones. IDs are forgotten 60 days after they were last seen.

Why is the value empty for many notices?

Value is returned only when the buyer publishes one. SAM.gov publishes values on award notices; CanadaBuys tender notices carry none; many TED notices do. On TED, placeholder values of 0 or 1 are dropped.

What am I charged when nothing matches?

Only the start fee. You pay per tender written to the dataset, so a source with no matching notices costs nothing, and a run that returns nothing costs the start fee alone.

What happens if one source is down?

The other sources are still read and returned. The run status lists the failed source after 'failed:'. CanadaBuys and TED requests are retried up to four times on connection errors, rate limits and server errors first. The run is marked failed only when every source failed and nothing was returned.

Are duplicates removed?

Yes. Each tender appears once per run, keyed by tender_id (the source plus its notice ID). With 'Only new tenders since last run' on, tenders returned by earlier runs are left out too.

Why does closes_at sometimes have no time?

When the source publishes only a closing date, closes_at stays a plain date (YYYY-MM-DD). Otherwise it is a full ISO 8601 time in UTC; CanadaBuys times are published in Eastern time and converted.

How does the countries filter work for each source?

Give two-letter ISO codes. For TED it is the buyer's country, for SAM.gov the place of performance (US when none is given), and CanadaBuys notices are always CA. A TED run with country codes that are not recognised returns no TED notices.

How long does a run take?

In our cloud test runs, the default input took about 8 seconds, a full week of CanadaBuys and TED with no cap about 72 seconds, and a 7-day run of all three sources where nothing matched about 203 seconds, because every notice in the window has to be read.

How do I keep two new-only feeds apart?

Give each one its own 'Incremental state name'. Without it, the memory is named after the sources and filters (days back excluded), so changing a filter starts a fresh memory and the next run returns every current match again.

What happens if I set a maximum charge for the run?

The run stops writing tenders when the limit is reached. In new-only mode, tenders that were not written are not marked as seen, so they come back on the next run.

Lawful use

• B2B use only: records carry the contracting officer or buyer contact (name, title, email, phone) the government publishes for bidders. Use it for bidding and related business communication only. Data is returned as shown publicly on the source; people can ask for removal by opening an issue on this Actor's Issues tab.
• No spam: contact people only with relevant, individual business messages, identify yourself, and honour every opt-out at once. Bulk unsolicited email built from this data is not allowed.
• You are responsible for complying with the anti-spam and privacy laws that apply to you and to the people you contact, including Canada's CASL, the US CAN-SPAM Act and the EU/UK GDPR (lawful basis, transparency, the right to object).
• Removal requests: open an issue on this Actor's Issues tab naming the person, email address or domain to remove. It is added to our suppression list and honoured within 7 days; from then on matching records are not returned.

Limits (stated honestly)

• Federal level only for the US and Canada: SAM.gov and CanadaBuys. State, provincial and municipal portals are not covered (several forbid automated access).
• SAM.gov comes from the daily public extract, which runs one to two days behind the live site; attachments and full amendment history are not included, and descriptions longer than 32,000 characters end at 32,000 characters followed by "..." (open the notice link for the full text).
• CanadaBuys includes currently open notices only, so 'open tenders only' off adds no closed Canadian notices.
• TED titles are TED's English rendering ('Country - CPV label - original title'); the original title stays in the buyer's language.
• Look-back is capped at 7 days; use incremental mode on a schedule for a continuous feed.
• Default cap of 500 per source per run, newest first (stated in the run status when hit); keywords match the title and description.

Related Aurelix tools

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Jobs and hiring data

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E-commerce and product data

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Leads and company data

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• Recently Funded Companies API: US companies that just filed an SEC Form D: amount raised, industry, state, executives, confirmed website.
• Tech Stack API: CMS, e-commerce platform, analytics, ad pixels, chat, CDN and email provider for each domain you enter.

Ad intelligence

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• Facebook Ad Library Search & API: Facebook and Instagram business ads from the Meta Ad Library: copy, creatives, landing pages, dates, optional EU reach.
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AI, content and SEO

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• Broken Link Crawler & SEO Audit: Audits a whole site: one row per page with SEO checks and broken links, plus a ranked issues summary.
• Website to Markdown API: Crawls a site and returns one row of clean main-content Markdown per page, with title, headings and links.
• YouTube Transcript Scraper: Returns YouTube video transcripts as text, timed segments and AI chunks, from videos, channels, playlists or searches.

More data tools

• Tennis Betting Odds Scraper: Tennis results and upcoming matches with opening and closing odds per bookmaker and implied probabilities.

Recent changes

• 0.4: New fields: contact_name, contact_title, contact_email, contact_phone and a contacts list with every point of contact the notice publishes (SAM.gov primary and secondary, CanadaBuys, TED buyer).
• 0.3: Price lowered to $2.00 per 1,000 tenders ($1.40 on paid plans).
• 0.2: Description text removed from all sources (privacy); keywords now match the title. Structured fields and the notice link are unchanged.

The full history is on the Changelog tab.

Tested daily

An automated health check runs this Actor every day on a fixed input and checks that at least 11 tenders come back with tender_id, source, title, status, url, published_date filled in; a failed check alerts the maintainer straight away.

Your feedback

Missing a field, found a bug or need another filter? Open an issue on the Issues tab; we aim to answer within a day. If this Actor saved you time, a short review helps other people find it.