Airline Mileage Chart Redemption Rate Scraper
Compare published award redemption rates in miles and taxes between world regions across 13 frequent-flyer programs, including Aeroplan, British Airways Avios, LifeMiles, United, and Flying Blue.
Open in Apify Store$0.99 / 1K on Free
Short answer
Airline Mileage Chart Redemption Rate Scraper is an Apify Store Actor that returns 13 published output fields, including issuer, issuerName, originRegion, destinationRegion. It lists $0.99 per 1,000 results on the Free plan (pay per event), $0.49 on the Business plan. It takes 7 input settings; 2 are required (originRegion, destinationRegion). Last updated Nov 13, 2026.
From the public Store listing and published build schema, synced 2026-11-13.What it returns
13 fields from the published dataset schema. Export as JSON, CSV or Excel, or read the dataset through the Apify API.
issuerissuerNameoriginRegiondestinationRegioncabinmilesmilesOneWayisPartnerpartnerNamemilesNotetaxes_min_usdtaxes_max_usdsourceUrl
Input
| Setting | Type | Required | Default | What it does |
|---|---|---|---|---|
| originRegion | string | Yes | north_america | Region the trip departs from. The chart returns redemption rates between origin and destination regions. |
| destinationRegion | string | Yes | europe | Region the trip ends in. |
| cabin | string | No | business | Filter the published rates by cabin class. |
| issuers | array | No | ["aeroplan","alaska","american","anaMileage",… | Which frequent-flyer programs to query. Order matters — earlier issuers run first. |
| oneWay | boolean | No | false | Return one-way award rates instead of roundtrip. Roundtrip is the default for charts that publish in both formats. |
| partnerOnly | boolean | No | false | Only return partner-redemption rates (i.e. flying on a partner airline, not the issuer's own metal). |
| maxResults | integer | No | 100 | Hard cap on emitted chart rows. |
Example input
Built from the input form's published example values and defaults.
{
"originRegion": "north_america",
"destinationRegion": "europe",
"cabin": "business",
"issuers": [
"aeroplan",
"alaska",
"american",
"anaMileage",
"britishAirways",
"emirates",
"flyingBlue",
"lifemiles",
"lufthansa",
"qatar",
"singaporeKrisflyer",
"united",
"virginAtlantic"
],
"oneWay": false,
"partnerOnly": false,
"maxResults": 100
} Run it from code or an AI agent
The same run through the Apify API, with the example input. You need an Apify API token; the run is billed to your account at the Store price.
Python
from apify_client import ApifyClient
client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
"originRegion": "north_america",
"destinationRegion": "europe",
"cabin": "business",
"issuers": [
"aeroplan",
"alaska",
"american",
"anaMileage",
"britishAirways",
"emirates",
"flyingBlue",
"lifemiles",
"lufthansa",
"qatar",
"singaporeKrisflyer",
"united",
"virginAtlantic"
],
"oneWay": False,
"partnerOnly": False,
"maxResults": 100
}
run = client.actor("nimbryxo-studio/airline-mileage-chart-redemption-rate-scraper").call(run_input=run_input)
if run is None:
raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
print(item) pip install apify-client
JavaScript
import { ApifyClient } from "apify-client";
const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
"originRegion": "north_america",
"destinationRegion": "europe",
"cabin": "business",
"issuers": [
"aeroplan",
"alaska",
"american",
"anaMileage",
"britishAirways",
"emirates",
"flyingBlue",
"lifemiles",
"lufthansa",
"qatar",
"singaporeKrisflyer",
"united",
"virginAtlantic"
],
"oneWay": false,
"partnerOnly": false,
"maxResults": 100
};
const run = await client.actor("nimbryxo-studio/airline-mileage-chart-redemption-rate-scraper").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items); npm install apify-client
cURL
curl -X POST "https://api.apify.com/v2/actors/nimbryxo-studio~airline-mileage-chart-redemption-rate-scraper/run-sync-get-dataset-items" -H "Authorization: Bearer $APIFY_TOKEN" -H "Content-Type: application/json" -d '{"originRegion":"north_america","destinationRegion":"europe","cabin":"business","issuers":["aeroplan","alaska","american","anaMileage","britishAirways","emirates","flyingBlue","lifemiles","lufthansa","qatar","singaporeKrisflyer","united","virginAtlantic"],"oneWay":false,"partnerOnly":false,"maxResults":100}' Waits for the run and returns the dataset items (runs over 300 seconds return HTTP 408; start an async run instead).
MCP (AI agents)
{
"mcpServers": {
"apify": {
"url": "https://mcp.apify.com?tools=nimbryxo-studio/airline-mileage-chart-redemption-rate-scraper",
"headers": {
"Authorization": "Bearer <YOUR_APIFY_TOKEN>"
}
}
}
} Adds this Actor as a tool in an MCP client that takes a remote server URL (Cursor, VS Code, Claude Code) through Apify's hosted MCP server. OAuth sign-in also works without the header. Clients that only start local servers can wrap the URL with npx mcp-remote.
What a run costs
The result rate falls on higher Apify plans. Each figure is the published per-result rate times the number of results.
| Apify plan | Per 1,000 | 10,000 results | 100,000 results |
|---|---|---|---|
| Free plan | $0.99 | $9.90 | $99 |
| Starter plan | $0.82 | $8.20 | $82 |
| Scale plan | $0.66 | $6.60 | $66 |
| Business plan | $0.49 | $4.90 | $49 |
- Every run also has a start event, charged per GB of memory (minimum one): $0.10 on Free, $0.03 on Business. At its default memory of 4 GB a run starts at $0.40 on Free. Fewer, larger runs keep this small.
- The Free plan includes $5 of monthly usage (Apify pricing, checked 2026-11-11); at the Free rate that covers at most about 5,050 results, less start events and platform usage.
- Worked example: 10,000 results in one run on the Free plan cost $10.30 ($9.90 for results + $0.40 start), plus Apify platform usage (compute), billed separately by Apify.
- Pay per event. Platform usage (compute) is billed by Apify on top of the event prices. Compare other tools in the cost estimator.
What people use it for
- compare award mileage rates
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Questions people ask
How much does Airline Mileage Chart Redemption Rate Scraper cost?
The published result rate depends on your Apify plan: $0.99 per 1,000 on Free, $0.82 per 1,000 on Starter, $0.66 per 1,000 on Scale, $0.49 per 1,000 on Business. So 10,000 results cost about $9.90 on the Free plan and $4.90 on Business, plus a start fee of $0.10 per run per GB of memory on Free. Platform usage is billed separately.
What data does Airline Mileage Chart Redemption Rate Scraper return?
Its published output schema lists 13 fields: issuer, issuerName, originRegion, destinationRegion, cabin, miles, milesOneWay, isPartner, partnerName, milesNote, taxes_min_usd, taxes_max_usd, and 1 more. A listed field is not guaranteed to be filled in every row.
What input does Airline Mileage Chart Redemption Rate Scraper need?
Required: originRegion, destinationRegion. Optional settings include cabin, issuers, oneWay, partnerOnly, maxResults.
How do I run Airline Mileage Chart Redemption Rate Scraper from Python or the API?
Use the Apify API client: in Python, ApifyClient(token).actor("nimbryxo-studio/airline-mileage-chart-redemption-rate-scraper").call(run_input=...), then read the run's default dataset (run.default_dataset_id); in JavaScript the same call is client.actor("nimbryxo-studio/airline-mileage-chart-redemption-rate-scraper").call(input). Without a client, POST the input JSON to https://api.apify.com/v2/actors/nimbryxo-studio~airline-mileage-chart-redemption-rate-scraper/run-sync-get-dataset-items with your API token. Ready-to-paste code with the example input is on this page.
Sources
- Airline Mileage Chart Redemption Rate Scraper on Apify Store
- Published build with input and output schema (JSON)
Cite this page
Scraper Finder. "Airline Mileage Chart Redemption Rate Scraper." https://scraperfinder.com/catalogue/airline-mileage-chart-redemption-rate-scraper/ (data checked 2026-11-13).
Run Airline Mileage Chart Redemption Rate Scraper
$0.99 per 1,000 results. Paste the example input above, set your target query, then export the dataset.