🎓 Canada Federal Grant Amendment Watch

Amendments to federal grant and contribution agreements as Canada discloses them - which agreement moved, the amendment number and date, and the restated value. Every amendment in this source carries a date; 1,446 of 1,446 sampled did. Bounded by your filters.

Output is one cafed_record row per result; billing is pay-per-event, the value event being one amendment delta (a $0.02 start fee per run, then $0.10 per amendment delta plus one $0.10 source check per run that reads the source). Source: open.canada.ca, search.open.canada.ca.

No login, no API key and no CAPTCHA solving are involved: the source is read logged-out with an identified contact User-Agent.

📊 Sample Output

Real rows from run 9X2dmYuDgqzwG2p5f on build 0.1.9 (2026-09-17), the same input as the Quick start below — every value is as the source published it (emails masked, long text shortened):

ref_number	amendment_date	reporting_fiscal_year	reporting_quarter	recipient_legal_name	recipient_city
001-2019-2020-Q3-00027	2019-11-26	2019-2020	2019-2020 Q3	Family Transition Place	Orangeville
001-2019-2020-Q4-00019	2020-02-14	2019-2020	2019-2020 Q4	Elizabeth Fry Toronto	Toronto
001-2019-2020-Q4-00020	2020-03-05	2019-2020	2019-2020 Q4	Sexual Assault Centre Kingston	Kingston
001-2019-2020-Q4-00021	2020-03-18	2019-2020	2019-2020 Q4	Yukon Status of Women Council	Whitehorse
001-2019-2020-Q4-00022	2020-02-26	2019-2020	2019-2020 Q4	McGill University | Université McGill	Montreal
001-2019-2020-Q4-00023	2020-02-10	2019-2020	2019-2020 Q4	The Hospital for Sick Children - Suspected Child Abuse and Neglect Pro	Toronto
001-2019-2020-Q4-00024	2020-02-18	2019-2020	2019-2020 Q4	Women’s Shelters Canada | Hébergement femmes Canada	Ottawa
001-2019-2020-Q4-00025	2020-03-12	2019-2020	2019-2020 Q4	OCASI - Ontario Council of Agencies Serving Immigrants	Toronto

The run finished with the status message: PARTIAL: emitted 25 item(s); PREVIEW: snapshot output is capped at 25 record(s); 1021 further record(s) withheld. Use watch mode for the full change feed.

✅ What you get

Each row is flat JSON with these fields (from the dataset schema and the sample run; a field the source does not publish for a given row is null):

• record_key (string/null) — e.g. cafed:001-2019-2020-Q3-00027|1
• ref_number — e.g. 001-2019-2020-Q3-00027
• amendment_number — e.g. 1
• is_amendment — e.g. True
• amendment_date — e.g. 2019-11-26
• reporting_fiscal_year — e.g. 2019-2020
• reporting_quarter_only — e.g. Q3
• reporting_quarter — e.g. 2019-2020 Q3
• agreement_type — e.g. C
• recipient_type — e.g. N
• recipient_legal_name — e.g. Family Transition Place
• recipient_operating_name — null in every sample row
• recipient_country — e.g. CA
• recipient_province — e.g. ON
• recipient_city — e.g. Orangeville
• prog_name_en — e.g. Gender-Based Violence Program
• prog_purpose_en — e.g. The purpose of the GBV Program is to strengthen the GBV sector to address gaps i
• agreement_title_en — e.g. Rural Response Program
• agreement_number — e.g. GV18303
• agreement_value — e.g. 199970
• agreement_start_date — e.g. 2019-03-01
• agreement_end_date — e.g. 2024-02-29
• description_en — e.g. This 60-month project will reduce barriers to access to services for women in no
• owner_org — e.g. wage
• owner_org_title — e.g. Women and Gender Equality Canada | Femmes et Égalité des genres Canada
• source_url — e.g. https://open.canada.ca/data/en/dataset/432527ab-7aac-45b5-81d6-7597107a7013
• search_url — e.g. https://search.open.canada.ca/grants/?ref_number=001-2019-2020-Q3-00027
• record_type (string) — e.g. cafed_record
• delta_type (string/null) — null in every sample row

Every run also writes a RUN_RECEIPT record to its key-value store with the source checks it made and the counts it charged — diagnostics never land in the paid dataset.

⚙️ Sample inputs

1. Quick start — the Store example (this is what the sample above came from)

{
  "owner_org": "wage",
  "watch_mode": false,
  "baseline_id": "default"
}

The sample run charged exactly: 1 × $0.02 apify-actor-start + 1 × $0.10 source-check + 0 × $0.10 cafed-disclosure-delta = $0.12 on the Free tier — snapshot preview rows are delivered unbilled; only the source check and the start fee were charged.

2. A smaller, narrowed run

{
  "owner_org": "wage",
  "watch_mode": false,
  "baseline_id": "default"
}

A bounded run for checking the field shape before scheduling. owner_org narrows what the source is asked for.

3. Watch mode on a schedule

{
  "owner_org": "wage",
  "watch_mode": true,
  "baseline_id": "default"
}

The first run seeds a private baseline and emits zero deltas; every later run emits one row per change, billed at $0.10 each plus the $0.10 source check; billed deltas are capped at 500 per run.

🧾 JSON sample record

One real record from run 9X2dmYuDgqzwG2p5f, exactly as it lands in the dataset (emails masked, long text shortened):

{
  "record_key": "cafed:001-2019-2020-Q3-00027|1",
  "ref_number": "001-2019-2020-Q3-00027",
  "amendment_number": "1",
  "is_amendment": true,
  "amendment_date": "2019-11-26",
  "reporting_fiscal_year": "2019-2020",
  "reporting_quarter_only": "Q3",
  "reporting_quarter": "2019-2020 Q3",
  "agreement_type": "C",
  "recipient_type": "N",
  "recipient_legal_name": "Family Transition Place",
  "recipient_operating_name": null,
  "recipient_country": "CA",
  "recipient_province": "ON",
  "recipient_city": "Orangeville",
  "prog_name_en": "Gender-Based Violence Program",
  "prog_purpose_en": "The purpose of the GBV Program is to strengthen the GBV sector to address gaps in supports for two groups of survivors: 1) Indigenous women and their communities, and 2) underserved populations (including women living with a disability, non",
  "agreement_title_en": "Rural Response Program",
  "agreement_number": "GV18303",
  "agreement_value": "199970",
  "agreement_start_date": "2019-03-01",
  "agreement_end_date": "2024-02-29",
  "description_en": "This 60-month project will reduce barriers to access to services for women in northern, rural and remote communities through mobile service delivery and increased partnerships between service providers.",
  "owner_org": "wage",
  "owner_org_title": "Women and Gender Equality Canada | Femmes et Égalité des genres Canada",
  "source_url": "https://open.canada.ca/data/en/dataset/432527ab-7aac-45b5-81d6-7597107a7013",
  "search_url": "https://search.open.canada.ca/grants/?ref_number=001-2019-2020-Q3-00027",
  "record_type": "cafed_record",
  "schema_version": "1.0",
  "output_mode": "preview",
  "preview_cap": 25,
  "preview_truncated": 1021
}

🔧 How it works

Transport. Plain HTTPS from the Apify platform, no proxy. Every request carries an identified contact User-Agent.

Charging. Each amendment delta is charged at the moment it is pushed (cafed-disclosure-delta); a row that fails to charge is not delivered, so the dataset count always equals the charged count. One source-check is charged per run that actually read the source.

Source

Proactive Disclosure - Grants and Contributions, Treasury Board of Canada Secretariat, published on open.canada.ca (public, logged-out, no key).

• https://open.canada.ca/data/en/dataset/432527ab-7aac-45b5-81d6-7597107a7013

Declared update frequency: P3M - QUARTERLY. Measured 2026-07-28: 1,315,562 rows across the whole disclosure.

Run this MONTHLY, not daily

The source publishes quarterly and departments run behind that - one department's newest reported quarter was 2025-2026 Q4 while the calendar sat in FY2026-2027 Q2, a two-quarter lag. A daily run would charge a source check about ninety times to observe one publication event. Monthly is the cadence this source deserves and the one this listing recommends.

It reads an API, not the 2.29 GB file

The bulk CSV is 2,289,162,586 bytes. This Actor never downloads it. It reads the CKAN datastore endpoint, which is bounded, sortable and paginated.

The API offers exact-match filters only - no date range, no text search above 100,000 rows, no SQL. That is why the watch is bounded by who and what, not by when.

Your filters bound the watch, and the cap REFUSES rather than truncates

Supply at least one of: department, agreement type, recipient type, province, city, recipient legal name, programme name. With none, the run fails and says so - this Actor will not watch 1.3 million agreements.

One run watches at most 25,000 rows. Over that the run fails and names the number. It does not quietly watch a slice of your own filter, because a truncated window cannot tell a withdrawal from the cut-off and would report records sliding out of it as though the government had pulled them.

Name filters are case-sensitive

Measured at the source: recipient_legal_name="Carleton University" returns 232 rows and "carleton university" returns 0. Same organisation. So a name, city or programme filter that matches nothing fails the run and names the case, rather than reporting an empty source. An outage you can see beats an emptiness you cannot.

The arrival clock is inside the reference number

ref_number carries the fiscal quarter the award was reported in - 001-2022-2023-Q3-00019. Measured across 6,578 rows from two departments: 6,578 parsed a quarter, 0 did not. That is what gets parsed and signed.

The datastore _id is NOT an arrival clock and is never signed. The newest 500 rows by _id are all one department and span six fiscal years, because _id orders by when a department last re-uploaded its whole file. Signing it would report a routine republication as a flood of new awards.

The key

ref_number alone is not unique - measured on a full department read, 2,204 distinct reference numbers across 2,578 rows, because a number repeats across an agreement's amendments. The key is ref_number plus amendment_number, both carried verbatim from the source, nothing inferred and nothing hashed.

Snapshot mode is a PREVIEW

watch_mode: false returns at most 25 records, hard-capped in code, labelled output_mode: "preview". This Actor sells change detection, not bulk export.

Watch semantics

The first watch run stores a private baseline and emits zero deltas. Later runs emit a delta for each new row appearing in your filtered set. A department restating a figure is a correction, not a new award, and classifies as nothing; a row withdrawn from the disclosure likewise. Billed deltas are capped at 500 per run; the overflow is a named PARTIAL withholding, never billed, and re-detected on the next run.

One row class per Actor

This Actor emits amendment rows and nothing else. Its sibling reads the same source for the other class, each with its own baseline and its own price.

Terminal states

NORMAL - SUCCEEDED-0: GENUINE_EMPTY - SUCCEEDED-0 (no change) - PARTIAL - BLOCKED. A zero with no evidence FAILS loud rather than exiting 0 quietly, and a case-sensitive filter that matched nothing is never reported as an empty source.

What is not done. No login, no cookie or CAPTCHA bypass, no private or personal-account data, no browser automation.

⏰ Set it on a schedule

A single run is a snapshot. The value is the feed: open the actor in Apify Console → Schedules → Create new, add this actor with input 3 above (watch_mode: true), and pick a cadence:

• Daily — 0 7 * * * (07:00 UTC): catch changes within a day.
• Weekly — 0 7 * * 1: a Monday digest.

The baseline persists in a named key-value store between runs, so every scheduled run compares against the last one; use a different baseline_id for independent watches. Schedules can also POST results to a webhook (Console → Integrations).

💰 Pricing example

Event	Free	Bronze	Silver	Gold
Actor Start (apify-actor-start)	$0.02	$0.02	$0.02	$0.02
Source check (source-check)	$0.10	$0.09	$0.08	$0.07
Amendment delta (cafed-disclosure-delta)	$0.10	$0.09	$0.08	$0.07

Worked at the live Free-tier price (watch mode, one delta per change):

• 8 amendment deltas: $0.02 start + $0.10 source check + 8 × $0.10 = $0.92
• 25 amendment deltas: $0.02 start + $0.10 source check + 25 × $0.10 = $2.62
• 100 amendment deltas: $0.02 start + $0.10 source check + 100 × $0.10 = $10.12

A run that delivers zero rows charges the $0.02 start fee plus the $0.10 source check (the source was read and reported empty). A BLOCKED run (source refused) fails loud and charges no value event. The start fee is charged once per GB of run memory; the default run memory is 1024 MB.

Yield on the sample run: PARTIAL: emitted 25 item(s); PREVIEW: snapshot output is capped at 25 record(s); 1021 further record(s) withheld. Use watch mode for the full change feed.. Snapshot output is capped at 25 records regardless of the cap you set; watch mode is the full feed.

⚖️ Legal & ToS

This actor reads public, logged-out pages and feeds published by open.canada.ca, search.open.canada.ca. It collects only what the source publishes to any visitor, identifies itself with a contact User-Agent, and does not access accounts, private data or anything behind authentication. Use the output in line with the source's terms and your local law; the intended use is B2B research and monitoring.

❓ FAQ

Q: Do I need an API key or a login?
A: No. The source (open.canada.ca, search.open.canada.ca) is read logged-out; the input schema has no key field and the actor carries no secrets.

Q: Why did my run return 0 rows?
A: Read the run's status message. GENUINE_EMPTY means the source was read and had nothing in scope for your input (in watch mode the first run always seeds the baseline and returns zero deltas); BLOCKED means the source refused and the run failed without billing a value event — retry later or narrow the input. A zero-row run bills the start fee plus one source check.

Q: What does watch mode remember between runs?
A: A private baseline of source-native record ids in a named key-value store (baseline_id names it, so several independent watches can coexist). Each later run diffs the live source against it and emits only changes.

Q: How fresh is the data?
A: Every run reads the source live at run time; nothing is cached between runs except the watch baseline. Put it on a schedule for a continuous feed.

Q: What formats can I export?
A: The dataset downloads as JSON, CSV, Excel, XML or RSS from the run's Dataset tab or the Apify API, and any run can push to a webhook or integration.

Q: How is this different from the other grant and research-funding watches actors?
A: Same output shape and billing model; this one covers open.canada.ca, search.open.canada.ca. The siblings under Related Actors cover the other sources or slices — run several on one schedule for a combined feed.

Q: Are there rate limits?
A: The actor paces itself against the source; there is no per-buyer limit beyond your Apify plan's concurrency.

🆘 Troubleshooting

• Run FAILED with BLOCKED → the source refused the request or changed its page shape → nothing was billed beyond the start fee; retry after a while, and if it persists open an Issue with the run id.
• Fewer rows than expected → the source had fewer items in scope → widen the input.
• Input validation error on start → a field is outside the schema's allowed values → start from the Quick start block and change one field at a time.
• Run TIMED-OUT → a very wide request on a slow day → raise the run timeout in Run options or narrow the input; what was delivered before the timeout is still in the dataset.
• First watch run shows no deltas → expected: it seeds the baseline; changes appear from the second run.

🔗 Related Actors

• Canada Federal New Grant Award Watch — New federal grant and contribution awards as Canada discloses them - the recipient, the programme, the agreement value, the dates and the reporting q…
• EU Horizon / CORDIS Grant Awards Change Watch — Receive seed-zero, structured records for newly signed and changed EU research grant awards — the funded projects published on the European Commissio…
• NIH RePORTER Grant Award Delta — NIH awards as they are noticed: new awards and changes to award amount, keyed on the source-native project number
• US NSF Research Award Change & Funding Momentum Watch — Auditable change deltas on US NSF research awards — new, amended, and funding-momentum shifts, keyed to the award id. Facts-only, seed-zero, one rece…
• 🏢 About NexGenData — NexGen Watch is NexGenData's fleet of 256 public monitoring and lookup actors built on official sources, pay-per-result. Browse the catalog at apify.com/nexgenwatch.

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