Apify Financial Osint

Financial OSINT — Social Listening

Discover and quantify what the internet is saying about portfolio companies. Three verified Apify Actors only — Reddit (sentiment + threaded discussion), Twitter/X (real-time mentions, crisis monitoring), Trustpilot (customer satisfaction). All actors verified against real demo data with ≥98% success rate.

Prerequisites

• Apify access — preferred: apify CLI (npm install -g apify-cli && apify login); fallback: Apify MCP connector (call-actor tool). CLI is faster and preferred when both are available.
• Companies data at ${CLAUDE_PLUGIN_ROOT}/data/companies.json (read fields: queries.reddit, queries.twitter, trustpilot_urls, identifiers.ticker)
• Per-company routing pre-computed at ${CLAUDE_PLUGIN_ROOT}/skills/apify-financial-osint/data/osint-targets.json

${CLAUDE_PLUGIN_ROOT} is the plugin's root directory (where .claude-plugin/ lives). It is resolved automatically by Claude Code when the plugin is installed, or set to the --plugin-dir path during development.

Workflow checklist

Copy this and tick boxes as you progress:

Task Progress:
- [ ] Step 0: Verify Apify access — try `apify --version && apify info`; if unavailable, check for `call-actor` MCP tool; if neither, tell user to install apify CLI or Apify MCP connector
- [ ] Step 1: Pick actor(s) by signal type — see "Choose Actor by Signal" table
- [ ] Step 2: Build input — read data/osint-targets.json or construct from data/companies.json
- [ ] Step 3: Run actor via apify CLI
- [ ] Step 4: Output — present top results with sentiment + engagement signals

Constraints

Allowed Apify Actors (exhaustive — do NOT use others)

Do NOT use any other actor. Do NOT use WebSearch, WebFetch, or browser tools.

Choose Actor by Signal

Pipeline

Step 1: Pick actor(s)

For portfolio companies, look up the company in `data/osint-targets.json` — it pre-computes which actors to run with templated inputs. Routing rule (mirrors how the file was built):

• queries.reddit non-empty → run Reddit actor
• queries.twitter non-empty → run Twitter actor (always set for tracked companies)
• trustpilot_urls non-empty → run Trustpilot actor

For ad-hoc / non-portfolio targets, construct input from scratch (see Step 2).

Step 2: Build input

Reddit input (key fields)

Example:

apify call fatihtahta/reddit-scraper-search-fast \
  --input '{"queries":["InPost FedEx acquisition"],"maxPosts":50,"scrapeComments":true,"maxComments":10,"sort":"relevance","timeframe":"month"}' \
  --user-agent apify-awesome-skills/apify-financial-osint

Twitter/X input (key fields)

Example:

apify call kaitoeasyapi/twitter-x-data-tweet-scraper-pay-per-result-cheapest \
  --input '{"twitterContent":"InPost FedEx acquisition OR INPST","maxItems":100,"queryType":"Latest","since":"2026-01-01_00:00:00_UTC","filter:news":true}' \
  --user-agent apify-awesome-skills/apify-financial-osint

Trustpilot input (only 2 fields exist!)

Example:

apify call getwally.net/trustpilot-reviews-scraper \
  --input '{"startUrls":[{"url":"https://www.trustpilot.com/review/inpost.pl"}],"limit":50}' \
  --user-agent apify-awesome-skills/apify-financial-osint

Older docs reference fields like maxItems, includeStatistics, includeCompanyDetails, onlyNewerThan — these do NOT exist on this actor.

Step 3: Cost-bound the run

Always cap output before running. Defaults are dangerously high.

Twitter and Trustpilot are pay-per-result — every returned item is billed.

Step 4: Run

Single example pulling Reddit threads + Twitter mentions for InPost (driven by `data/osint-targets.json`):

apify call fatihtahta/reddit-scraper-search-fast \
  --input "$(jq -c '.targets[] | select(.company_id=="inpost") | .inputs.reddit' \
    ${CLAUDE_PLUGIN_ROOT}/skills/apify-financial-osint/data/osint-targets.json)" \
  --user-agent apify-awesome-skills/apify-financial-osint \
  --output-dataset > reddit_inpost.json

Full per-actor input schema (all 51 Twitter properties, every Reddit enum, every Trustpilot edge case) plus 30+ example invocations: reference/osint-actor-schemas.md.

Step 4b: Post-filter Reddit results

Reddit search ignores quotes and matches partial words ("InPost" matches "in post game thread"). After fetching, filter results client-side: keep only posts where any of the company's search queries appears as a whole word (case-insensitive) in title or body. Use the queries array from data/osint-targets.json for matching (these are the terms the company is actually known by). Normalise diacritics before comparing (Š↔S, ö↔o, etc.).

Expect 90–95% of raw Reddit results to be false positives. This is normal — maxPosts is set to 200 to compensate.

Step 5: Output

Key output fields per actor:

Present top results with:

• Sentiment hint (positive / negative / neutral) where derivable from text
• Engagement — see table above
• Author / handle
• Date — normalise to YYYY-MM-DD for display
• Permalink

Example output for a sentiment scan:

## OSINT Scan: InPost — Last 30 days

### Reddit (3 posts, 47 comments analyzed)
| Title | Subreddit | Score | Sentiment | Date | URL |
|---|---|---|---|---|---|
| InPost lockers in UK getting better? | r/unitedkingdom | 124 | positive | 2026-04-12 | … |
| Anyone else missing parcels? | r/poland | 38 | negative | 2026-04-09 | … |

### Twitter/X (87 tweets)
| Tweet (truncated) | Author | Likes | Replies | Date | URL |
|---|---|---|---|---|---|
| FedEx-InPost rollout looks promising… | @logistics_eu | 412 | 27 | 2026-04-22 | … |

### Trustpilot (50 reviews — avg 3.2 / 5)
| Rating | Title | Author | Date | URL |
|---|---|---|---|---|
| 5 | Good system, very efficient | Yeison S. | 2026-03-10 | … |
| 1 | Parcel never delivered | Anna K. | 2026-04-18 | … |

Per-company routing

`data/osint-targets.json` maps each portfolio company → which OSINT actors to run, with pre-built input templates derived from data/companies.json. Coverage as of v1.0: 31 entries (30 portfolio + group), Reddit 27, Twitter 31, Trustpilot 5, all-three 5, Twitter-only 4. Empty-actor entries reflect verified absence (e.g., MONETA / CETIN / SOTIO have no Trustpilot page).

Critical gotchas (high-frequency mistakes)

• Reddit `maxPosts` default is 50000 — ALWAYS set explicitly (typical: 30–50 for scans).
• Reddit `maxComments` default is 50000 — set low whenever scrapeComments: true.
• Reddit `subredditKeywords` is an array, not a string.
• Reddit `sort` enum has no `"rising"` / `"best"` — only relevance, hot, top, new, comments.
• Reddit `includeNsfw` — lowercase "sfw" (not includeNSFW).
• Twitter `maxItems` is REQUIRED — actor fails without it. Pay-per-result.
• Twitter `since` / `until` format is `YYYY-MM-DD_HH:MM:SS_UTC` (NOT ISO 8601).
• Twitter `tweetIDs` is plural array — not tweetId.
• Twitter `lang` default is `"en"` — set explicitly or omit for all languages.
• Trustpilot `startUrls` must be array of objects with url key — NOT plain strings.
• Trustpilot has ONLY 2 input fields (startUrls, limit) — older docs reference maxItems, includeStatistics, includeCompanyDetails, onlyNewerThan that DO NOT EXIST.
• Trustpilot `ratingValue` is a STRING ("1"–"5"), not integer — parse before aggregating.
• Trustpilot has no date filter — actor returns most recent first up to limit; post-filter by date field.
• Trustpilot URLs verified per company — see "Known Trustpilot URLs" table in reference/osint-actor-schemas.md Section 3. Some companies have NO Trustpilot page (B2B holdings, biotech) — running the actor returns 0 reviews.

Full per-actor schemas + 30+ example invocations: reference/osint-actor-schemas.md.

Reference

• data/osint-targets.json — per-company routing + pre-built actor inputs (31 entries)
• reference/osint-actor-schemas.md — verbatim source: all 4 actor schemas with portfolio examples (Section 4 Economic Calendar archived; out of scope for this skill — see PLAN.md)
• Shared portfolio data: `${CLAUDE_PLUGIN_ROOT}/data/companies.json`

OSINT Actor Input Schemas — Complete Reference

Last updated: 2026-03-16

Source: Apify API v2 build endpoint (actual inputSchema JSON), verified against demo/data/2w/osint/ outputs.

---

1. Reddit — fatihtahta/reddit-scraper-search-fast

URL: https://apify.com/fatihtahta/reddit-scraper-search-fast Cost: $1.49 / 1,000 results Success rate: 98.4% (30-day: 40,787 runs, 40,112 succeeded) Use case: Reddit sentiment about InPost delivery, O2 CZ service quality, PPF Group acquisition reactions

Input Schema (verified from API)

⚠️ No `fastMode` or `proxy` fields — these do not exist in the current schema.

Output Fields (per record)

{
  "kind": "post",
  "id": "1qzy80j",
  "title": "...",
  "body": "...",
  "author": "username",
  "score": 651,
  "num_comments": 84,
  "subreddit": "BuyFromEU",
  "created_utc": "2026-02-09T07:48:25.000Z",
  "url": "https://www.reddit.com/r/.../comments/.../",
  "upvote_ratio": 0.98
}

Example Inputs

InPost delivery sentiment (acquisition reactions):

{
  "queries": ["InPost parcel locker", "InPost FedEx acquisition", "InPost PPF"],
  "maxPosts": 50,
  "scrapeComments": true,
  "maxComments": 10,
  "sort": "relevance",
  "timeframe": "month",
  "includeNsfw": false
}

O2 CZ service quality:

{
  "queries": ["O2 Czech Republic", "O2 CZ mobile", "O2 Czechia network"],
  "maxPosts": 30,
  "sort": "new",
  "timeframe": "month",
  "scrapeComments": true,
  "maxComments": 5
}

Group brand perception:

{
  "queries": ["PPF Group", "PPF investment", "Petr Kellner PPF"],
  "maxPosts": 50,
  "sort": "relevance",
  "timeframe": "year"
}

Subreddit-specific (e.g., r/poland for InPost):

{
  "subredditName": "poland",
  "subredditKeywords": ["InPost", "delivery", "locker"],
  "subredditSort": "relevance",
  "subredditTimeframe": "month",
  "maxPosts": 30,
  "scrapeComments": true,
  "maxComments": 5
}

InPost peers — logistics sentiment:

{
  "queries": ["PostNL delivery", "bpost Belgium", "DHL parcel", "Austrian Post delivery"],
  "maxPosts": 30,
  "sort": "relevance",
  "timeframe": "year",
  "scrapeComments": true,
  "maxComments": 5
}

Allegro e-commerce (InPost competitor):

{
  "queries": ["Allegro Poland shopping", "Allegro delivery", "Allegro vs InPost"],
  "maxPosts": 30,
  "sort": "relevance",
  "timeframe": "year"
}

Telecom portfolio:

{
  "queries": ["Yettel Hungary mobile", "Yettel Bulgaria", "Deutsche Telekom Europe"],
  "maxPosts": 30,
  "sort": "relevance",
  "timeframe": "year"
}

Banking/fintech:

{
  "queries": ["MONETA Money Bank Czech", "Air Bank Czech", "Home Credit loan"],
  "maxPosts": 30,
  "sort": "relevance",
  "timeframe": "year"
}

Heureka Group (price comparison):

{
  "searchQuery": "Heureka price comparison",
  "subreddits": ["czech", "Cesko"],
  "maxPosts": 15
}

Škoda Group (transportation):

{
  "searchQuery": "Skoda Transportation tram",
  "subreddits": ["trains", "transit"],
  "maxPosts": 15
}

SOTIO biotech:

{
  "searchQuery": "SOTIO biotech clinical trial",
  "subreddits": ["biotech", "cancer"],
  "maxPosts": 15
}

CME / TV Nova:

{
  "searchQuery": "TV Nova Voyo streaming Czech",
  "subreddits": ["czech", "Cesko", "television"],
  "maxPosts": 15
}

Dream Yacht Charter:

{
  "searchQuery": "Dream Yacht Charter review",
  "subreddits": ["sailing", "boating", "travel"],
  "maxPosts": 15
}

Gotchas & Limitations

• `maxPosts` default is 50000 — always set explicitly to avoid scraping everything and burning credits.
• subredditKeywords is an array, not a string.
• sort enum does NOT include "rising" or "best" — only: relevance, hot, top, new, comments.
• Use subredditSort and subredditTimeframe for subreddit-mode (these are separate from the global sort/timeframe).
• Residential proxies are used internally — no proxy config field exposed.

---

2. Twitter/X — kaitoeasyapi/twitter-x-data-tweet-scraper-pay-per-result-cheapest

URL: https://apify.com/kaitoeasyapi/twitter-x-data-tweet-scraper-pay-per-result-cheapest Cost: $0.25 / 1,000 tweets (pay-per-result) Success rate: 99.7% Rating: 4.3/5 (58 reviews) Use case: Twitter/X mentions of InPost, PPF, telecom sector, real-time crisis monitoring

Input Schema (verified from API — 51 properties, key ones below)

Core fields:

Advanced filters (useful for portfolio monitoring):

Output Fields (per tweet)

{
  "id": "2032250178661388521",
  "url": "https://x.com/username/status/...",
  "text": "tweet text here",
  "retweetCount": 0,
  "replyCount": 0,
  "likeCount": 0,
  "viewCount": 11,
  "createdAt": "Fri Mar 13 00:19:34 +0000 2026",
  "lang": "pl",
  "author": {
    "type": "user",
    "userName": "...",
    "id": "...",
    "name": "...",
    "isVerified": false,
    "isBlueVerified": false,
    "followers": 30,
    "following": 134,
    "statusesCount": 1107,
    "description": "..."
  }
}

Example Inputs

InPost real-time sentiment:

{
  "twitterContent": "InPost",
  "maxItems": 100,
  "queryType": "Latest",
  "lang": "en"
}

InPost Polish-language mentions:

{
  "twitterContent": "InPost paczkomat",
  "maxItems": 100,
  "queryType": "Latest",
  "lang": "pl"
}

Group deal reactions:

{
  "twitterContent": "PPF Group OR \"PPF investment\" OR \"PPF telecom\"",
  "maxItems": 50,
  "queryType": "Top"
}

O2 CZ + Yettel telecom combined:

{
  "twitterContent": "\"O2 Czech\" OR Yettel OR \"PPF Telecom\"",
  "maxItems": 100,
  "queryType": "Latest"
}

InPost take-private deal monitoring (with date + engagement filters):

{
  "twitterContent": "InPost FedEx acquisition OR InPost takeover OR INPST",
  "maxItems": 200,
  "queryType": "Latest",
  "since": "2026-01-01_00:00:00_UTC",
  "min_faves": 5,
  "filter:news": true
}

InPost peers — logistics:

{
  "twitterContent": "PostNL OR bpost OR \"DHL Group\" OR \"Austrian Post\"",
  "maxItems": 100,
  "queryType": "Latest"
}

Allegro competitive intelligence:

{
  "twitterContent": "Allegro Poland OR allegro.pl OR \"Allegro delivery\"",
  "maxItems": 50,
  "queryType": "Latest",
  "lang": "pl"
}

Telecom:

{
  "twitterContent": "Yettel OR \"e& PPF Telecom\" OR \"CETIN Group\"",
  "maxItems": 100,
  "queryType": "Latest"
}

MONETA / Air Bank Czech banking:

{
  "twitterContent": "\"MONETA Money Bank\" OR \"Air Bank\" OR \"PPF banka\"",
  "maxItems": 50,
  "queryType": "Latest",
  "lang": "cs"
}

Heureka:

{
  "searchQueries": ["Heureka shopping Czech"],
  "maxItems": 20,
  "tweetLanguage": "cs"
}

SOTIO:

{
  "searchQueries": ["SOTIO biotech OR SOTIO clinical trial"],
  "maxItems": 20
}

Škoda Group:

{
  "searchQueries": ["Skoda Transportation OR Skoda Group tram"],
  "maxItems": 20
}

Home Credit:

{
  "searchQueries": ["Home Credit Vietnam OR Home Credit Philippines"],
  "maxItems": 20
}

CME / Nova:

{
  "searchQueries": ["TV Nova streaming OR Voyo Czech"],
  "maxItems": 20,
  "tweetLanguage": "cs"
}

Gotchas & Limitations

• `maxItems` is REQUIRED — the actor will fail without it.
• twitterContent is a single string — use Twitter operators (OR, -, from:, since:, until:) to combine.
• tweetIDs is plural (array) — not tweetId.
• searchTerms (array) also works — each term gets up to maxItems results independently.
• lang default is "en" — set explicitly or omit for all languages.
• since/until format is YYYY-MM-DD_HH:MM:SS_UTC — unusual format, not ISO 8601.
• Pay-per-result: you only pay for tweets actually returned.
• Author info is included by default (full profile data).

---

3. Trustpilot — getwally.net/trustpilot-reviews-scraper

URL: https://apify.com/getwally.net/trustpilot-reviews-scraper Cost: $3.00 / 1,000 results Use case: Customer satisfaction for InPost, O2 CZ, Yettel, Heureka, Home Credit

Input Schema (verified from API — ONLY 2 fields!)

⚠️ CRITICAL: Only 2 input fields exist. The following fields from older documentation do NOT exist:

• ~~maxItems~~ → use limit
• ~~includeCompanyDetails~~ → does not exist
• ~~includeStatistics~~ → does not exist
• ~~onlyNewerThan~~ → does not exist
• ~~maxConcurrency~~ → does not exist
• ~~minConcurrency~~ → does not exist
• ~~maxRequestRetries~~ → does not exist
• ~~customMapFunction~~ → does not exist

Output Fields (per review)

{
  "reviewId": "69afe529f0877de1c09ec06e",
  "name": "Yeison Sierra",
  "avatar": "https://user-images.trustpilot.com/.../73x73.png",
  "date": "2026-03-10T11:32:25+00:00",
  "reviewTitle": "Good system and very efficient",
  "reviewText": "I like how the app and the system works...",
  "ratingValue": "5",
  "url": "https://trustpilot.com/reviews/69afe529f0877de1c09ec06e"
}

Example Inputs

All consumer + peer companies (comprehensive):

{
  "startUrls": [
    {"url": "https://www.trustpilot.com/review/inpost.pl"},
    {"url": "https://www.trustpilot.com/review/inpost.co.uk"},
    {"url": "https://www.trustpilot.com/review/o2.cz"},
    {"url": "https://www.trustpilot.com/review/yettel.hu"},
    {"url": "https://www.trustpilot.com/review/yettel.bg"},
    {"url": "https://www.trustpilot.com/review/yettel.rs"},
    {"url": "https://www.trustpilot.com/review/heureka.cz"},
    {"url": "https://www.trustpilot.com/review/airbank.cz"}
  ],
  "limit": 50
}

InPost vs logistics peers:

{
  "startUrls": [
    {"url": "https://www.trustpilot.com/review/inpost.pl"},
    {"url": "https://www.trustpilot.com/review/postnl.nl"},
    {"url": "https://www.trustpilot.com/review/bpost.be"},
    {"url": "https://www.trustpilot.com/review/dhl.com"},
    {"url": "https://www.trustpilot.com/review/post.at"},
    {"url": "https://www.trustpilot.com/review/fedex.com"},
    {"url": "https://www.trustpilot.com/review/ups.com"}
  ],
  "limit": 50
}

Telecom peer comparison:

{
  "startUrls": [
    {"url": "https://www.trustpilot.com/review/o2.cz"},
    {"url": "https://www.trustpilot.com/review/yettel.hu"},
    {"url": "https://www.trustpilot.com/review/telekom.de"},
    {"url": "https://www.trustpilot.com/review/allegro.pl"}
  ],
  "limit": 50
}

DHL multi-market:

{
  "startUrls": [
    {"url": "https://www.trustpilot.com/review/dhl.com"},
    {"url": "https://www.trustpilot.com/review/dhl.de"},
    {"url": "https://www.trustpilot.com/review/dhl.nl"}
  ],
  "limit": 50
}

Portfolio — consumer leisure brands:

Dream Yacht Charter:

{
  "startUrls": [{"url": "https://www.trustpilot.com/review/dreamyachtcharter.com"}],
  "limit": 30
}

Leopard Catamarans: ❌ No Trustpilot profile exists — 0 reviews returned. Do not use.

Known Trustpilot URLs for Portfolio Companies

Gotchas & Limitations

• `startUrls` is array of OBJECTS — each item must be {"url": "..."}, NOT a plain string.
• Only `limit` controls max reviews — no maxItems, no onlyNewerThan, no includeCompanyDetails.
• No date filtering available — the actor returns most recent reviews first, up to limit.
• No company details or statistics extraction — only individual reviews are returned.
• ratingValue is a string ("1" through "5"), not integer — parse before aggregating.
• limit default is 1000 — set lower to control costs ($3/1K results).

---

4. Economic Calendar — pintostudio/economic-calendar-data-investing-com

URL: https://apify.com/pintostudio/economic-calendar-data-investing-com Cost: $10.00 / 1,000 results Use case: Economic calendar events for CZ, PL, HU, EU — central bank rate decisions, GDP releases, CPI data

Input Schema (verified from API)

Country enum (47 countries — NO "euro zone"):

spain, united states, united kingdom, germany, france, italy, netherlands,
belgium, portugal, austria, switzerland, norway, sweden, denmark, finland,
poland, czech republic, hungary, greece, turkey, russia, china, japan,
south korea, india, australia, canada, brazil, mexico, argentina, chile,
colombia, peru, south africa, israel, saudi arabia, united arab emirates,
malaysia, singapore, thailand, indonesia, philippines, vietnam, taiwan,
hong kong, new zealand

⚠️ "euro zone" is NOT in the enum. For ECB/Eurozone events, use "germany" (ECB events appear under Germany) or leave country empty and filter results.

⚠️ `importances` is a single enum value, not a comma-separated list. To get both high and medium, run two separate calls or leave empty for all.

Output Fields (per event)

{
  "id": "541956",
  "date": "02/03/2026",
  "time": "08:30",
  "zone": "czech republic",
  "currency": "CZK",
  "importance": "low",
  "event": "S&P Global Czech Republic Manufacturing PMI  (Feb)",
  "actual": "50.0",
  "forecast": "50.4",
  "previous": "49.8"
}

Example Inputs

Czech Republic — high-importance events (CNB rate decisions, GDP, CPI):

{
  "country": "czech republic",
  "importances": "high",
  "timeZone": "GMT +1:00",
  "fromDate": "2026-03-01",
  "toDate": "2026-04-30"
}

Poland — all events (InPost, Allegro context):

{
  "country": "poland",
  "importances": "",
  "timeZone": "GMT +1:00",
  "fromDate": "2026-03-01",
  "toDate": "2026-03-31"
}

Hungary — monetary policy (Yettel HU context):

{
  "country": "hungary",
  "importances": "high",
  "timeZone": "GMT +1:00",
  "fromDate": "2026-03-01",
  "toDate": "2026-06-30"
}

Germany — includes ECB events (closest proxy for "euro zone"):

{
  "country": "germany",
  "importances": "high",
  "timeZone": "GMT +1:00",
  "fromDate": "2026-03-01",
  "toDate": "2026-06-30"
}

Netherlands — HQ jurisdiction:

{
  "country": "netherlands",
  "importances": "",
  "timeZone": "GMT +1:00",
  "fromDate": "2026-03-01",
  "toDate": "2026-03-31"
}

All countries, high importance only:

{
  "country": "",
  "importances": "high",
  "timeZone": "GMT +1:00",
  "fromDate": "2026-03-01",
  "toDate": "2026-03-31"
}

Turkey (TEMSA territory):

{
  "country": "turkey",
  "importances": "high",
  "timeZone": "GMT +3:00",
  "timeFilter": "time_only",
  "fromDate": "2026-03-01",
  "toDate": "2026-06-30"
}

Vietnam (Home Credit territory):

{
  "country": "vietnam",
  "importances": "",
  "timeZone": "GMT +7:00",
  "timeFilter": "time_only",
  "fromDate": "2026-03-01",
  "toDate": "2026-03-31"
}

United States (SOTIO, PPF Real Estate, FedEx/UPS):

{
  "country": "united states",
  "importances": "high",
  "timeZone": "GMT -5:00",
  "timeFilter": "time_only",
  "fromDate": "2026-03-01",
  "toDate": "2026-03-31"
}

Multi-country batch workflow (run each as separate actor call):

countries = [
    "czech republic", "poland", "hungary", "germany", "netherlands",
    "united kingdom", "austria", "turkey", "vietnam", "united states"
]
for country in countries:
    input_json = {
        "country": country,
        "importances": "high",
        "timeZone": "GMT +1:00",
        "fromDate": "2026-03-01",
        "toDate": "2026-03-31"
    }
    # call-actor with input_json

Tested Countries (confirmed working)

Gotchas & Limitations

• One country per call — or leave empty for all countries.
• `importances` is SINGLE value — "high", "medium", "low", or "" (all). Cannot combine "high,medium".
• Field name is `timeFilter` — NOT timeFormat.
• No "euro zone" in country enum — use "germany" or empty + post-filter.
• No proxy support — additionalProperties: false in schema.
• Missing countries: Bulgaria, Serbia, Slovakia are NOT in the API's country enum. These operating territories cannot be monitored via this actor.
• Date format: input is "YYYY-MM-DD", output is "DD/MM/YYYY".
• Cost: $10/1K results. A month × one country ≈ 50-150 events ≈ $0.50-$1.50.
• If no dates provided, returns events for current day only.

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Quick Reference: Parameter Names (API-verified)

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CLI Examples (call-actor via MCP)

Reddit — portfolio + peers

# Core portfolio
mcpc @apify tools-call call-actor \
  actor:="fatihtahta/reddit-scraper-search-fast" \
  input:='{"queries":["InPost parcel locker","O2 Czech Republic","PPF Group","MONETA Money Bank Czech","Air Bank Czech","Yettel Hungary mobile"],"maxPosts":30,"sort":"relevance","timeframe":"month","scrapeComments":true,"maxComments":5}'

# InPost logistics peers
mcpc @apify tools-call call-actor \
  actor:="fatihtahta/reddit-scraper-search-fast" \
  input:='{"queries":["PostNL delivery","bpost Belgium","DHL parcel","Austrian Post delivery"],"maxPosts":30,"sort":"relevance","timeframe":"year","scrapeComments":true,"maxComments":5}'

# Allegro competitive intelligence
mcpc @apify tools-call call-actor \
  actor:="fatihtahta/reddit-scraper-search-fast" \
  input:='{"queries":["Allegro Poland shopping","Allegro delivery","Allegro vs InPost"],"maxPosts":30,"sort":"relevance","timeframe":"year"}'

Twitter — InPost + peers + telecom + banking

# InPost take-private monitoring
mcpc @apify tools-call call-actor \
  actor:="kaitoeasyapi/twitter-x-data-tweet-scraper-pay-per-result-cheapest" \
  input:='{"twitterContent":"InPost OR INPST OR \"PPF Group\" OR \"InPost FedEx\"","maxItems":100,"queryType":"Latest"}'

# Logistics peers
mcpc @apify tools-call call-actor \
  actor:="kaitoeasyapi/twitter-x-data-tweet-scraper-pay-per-result-cheapest" \
  input:='{"twitterContent":"PostNL OR bpost OR \"DHL Group\" OR \"Austrian Post\"","maxItems":100,"queryType":"Latest"}'

# Telecom
mcpc @apify tools-call call-actor \
  actor:="kaitoeasyapi/twitter-x-data-tweet-scraper-pay-per-result-cheapest" \
  input:='{"twitterContent":"Yettel OR \"e& PPF Telecom\" OR \"CETIN Group\"","maxItems":100,"queryType":"Latest"}'

# Czech banking
mcpc @apify tools-call call-actor \
  actor:="kaitoeasyapi/twitter-x-data-tweet-scraper-pay-per-result-cheapest" \
  input:='{"twitterContent":"\"MONETA Money Bank\" OR \"Air Bank\" OR \"PPF banka\"","maxItems":50,"queryType":"Latest","lang":"cs"}'

Trustpilot — consumer brands + logistics peers

# All consumer brands
mcpc @apify tools-call call-actor \
  actor:="getwally.net/trustpilot-reviews-scraper" \
  input:='{"startUrls":[{"url":"https://www.trustpilot.com/review/inpost.pl"},{"url":"https://www.trustpilot.com/review/inpost.co.uk"},{"url":"https://www.trustpilot.com/review/o2.cz"},{"url":"https://www.trustpilot.com/review/yettel.hu"},{"url":"https://www.trustpilot.com/review/yettel.bg"},{"url":"https://www.trustpilot.com/review/yettel.rs"},{"url":"https://www.trustpilot.com/review/heureka.cz"},{"url":"https://www.trustpilot.com/review/airbank.cz"}],"limit":50}'

# InPost vs logistics peers
mcpc @apify tools-call call-actor \
  actor:="getwally.net/trustpilot-reviews-scraper" \
  input:='{"startUrls":[{"url":"https://www.trustpilot.com/review/inpost.pl"},{"url":"https://www.trustpilot.com/review/postnl.nl"},{"url":"https://www.trustpilot.com/review/bpost.be"},{"url":"https://www.trustpilot.com/review/dhl.com"},{"url":"https://www.trustpilot.com/review/post.at"},{"url":"https://www.trustpilot.com/review/fedex.com"},{"url":"https://www.trustpilot.com/review/ups.com"}],"limit":50}'

Economic calendar — all territories

# Czech Republic
mcpc @apify tools-call call-actor \
  actor:="pintostudio/economic-calendar-data-investing-com" \
  input:='{"country":"czech republic","importances":"high","timeZone":"GMT +1:00","fromDate":"2026-03-01","toDate":"2026-04-30"}'

# Poland
mcpc @apify tools-call call-actor \
  actor:="pintostudio/economic-calendar-data-investing-com" \
  input:='{"country":"poland","importances":"high","timeZone":"GMT +1:00","fromDate":"2026-03-01","toDate":"2026-04-30"}'

# Hungary
mcpc @apify tools-call call-actor \
  actor:="pintostudio/economic-calendar-data-investing-com" \
  input:='{"country":"hungary","importances":"high","timeZone":"GMT +1:00","fromDate":"2026-03-01","toDate":"2026-06-30"}'

# Turkey (TEMSA)
mcpc @apify tools-call call-actor \
  actor:="pintostudio/economic-calendar-data-investing-com" \
  input:='{"country":"turkey","importances":"high","timeZone":"GMT +3:00","fromDate":"2026-03-01","toDate":"2026-06-30"}'

# Vietnam (Home Credit)
mcpc @apify tools-call call-actor \
  actor:="pintostudio/economic-calendar-data-investing-com" \
  input:='{"country":"vietnam","importances":"","timeZone":"GMT +7:00","fromDate":"2026-03-01","toDate":"2026-03-31"}'

# United States (SOTIO, Real Estate)
mcpc @apify tools-call call-actor \
  actor:="pintostudio/economic-calendar-data-investing-com" \
  input:='{"country":"united states","importances":"high","timeZone":"GMT -5:00","fromDate":"2026-03-01","toDate":"2026-03-31"}'