Awesome Cheap Flights

Weekend-hopper toolkit for spotting cheap ICN short-hauls without opening browser.

Highlights

• Hidden-leg discovery merges with regular legs automatically.
• Hidden-leg discovery only bridges a single intermediate stop.
• Plans expand airport pools and date windows per leg.
• Duplicate flights per journey leg collapse into a single row.
• Progress logs now surface a sample flight summary per batch.
• Automatic itinerary workbooks enumerate every leg combination with totals.
• Seat class selector supports economy, premium-economy, business, and first.
• Itinerary sampling knobs and CSV-to-Excel conversion keep exports in your control.
• CSV rows expose variant metadata for hidden journeys.
• CSV rows now include seat_class and hidden-leg departure timestamps.
• Rich logging prints overview tables and elapsed minutes.

Screenshots

CLI Output

Rich console output with progress tracking and summary tables.

Excel Pivot Analysis

Turn exported CSV data into pivot tables for quick price comparisons.

Examples

Example 1. Quick uvx run.

uvx awesome-cheap-flights@latest --config sample.config.yaml --plan sample-hop

Example 2. Local CLI run.

uv run python -m awesome_cheap_flights.cli --config sample.config.yaml --plan sample-hop

Example 3. macOS uv install.

curl -Ls https://astral.sh/uv/install.sh | sh
source "$HOME/.local/bin/env"
uvx awesome-cheap-flights@latest --config sample.config.yaml --plan sample-hop

Example 4. Windows uv install.

powershell -ExecutionPolicy Bypass -Command "iwr https://astral.sh/uv/install.ps1 -useb | iex"
uvx awesome-cheap-flights@latest --config sample.config.yaml --plan sample-hop

Example 5. Android uv install.

pkg update
pkg install curl python
curl -Ls https://astral.sh/uv/install.sh | sh
source "$HOME/.local/bin/env"
uvx awesome-cheap-flights@latest --config sample.config.yaml --plan sample-hop

After each run, open the CSV and sort by price.

Development mode

Run the CLI locally for iterative tweaks.

uv run python -m awesome_cheap_flights.cli --config config.yaml --output output/dev.csv

• Copy sample.config.yaml into config.yaml before editing routes.
• Update config.yaml to adjust places, legs, or windows.
• Set UV_CACHE_DIR=$(pwd)/.cache/uv to isolate uv cache.
• Use --output to force a specific CSV file, directory, or pattern. Omit it to keep timestamped files inside output/.
• Combine CLI overrides with commas or repeated flags for airports.
• Use --csv-only <path> to turn saved CSVs into fresh itinerary workbooks without re-running searches.
• Sample plan completes within five minutes on modern laptops.

Troubleshooting

• Upgrade typing_extensions when imports complain about missing features.
• Append --debug for full provider payload dumps during runs.
• Press Ctrl+C to save draft CSV and resume later minutes.
• Update to this revision if python -m awesome_cheap_flights.cli printed nothing.
• Install openpyxl>=3.1 if itinerary workbooks fail to generate.

Configuration

• Set schema_version: v2 to enable the DSL.
• Fill defaults with currency, passenger count, and request minutes.
• Request delay accepts fractional seconds for rate limiting.
• Request seat lets you choose cabin class (economy, premium-economy, business, first).
• Itinerary leg/combo limits (0 = unlimited) tame workbook size without losing control.
• Filters hold max_stops, include_hidden, and max_hidden_hops limits.
• Departures allow per-leg max_stops overrides alongside date selectors.
• Date windows spanning more than seven days trigger an extreme warning because runs can take hours and risk Google anti-abuse blocks.
• Output directory and filename_pattern customize CSV targets.
• Plans list places, ordered departures, filters, and options blocks.
• Departure key order defines leg sequence for searches and workbooks.
• Missing links between adjacent departure keys are treated as surface transfers.
• Options include include_hidden toggles and hop caps per plan.
• CLI overrides accept plan, currency, passengers, seat class, itinerary limits, proxy, concurrency, debug.

YAML sample

schema_version: v2
defaults:
  currency: USD
  passengers: 1
  request:
    delay: 0.5
    retries: 1
    max_leg_results: 3
    seat: economy
  filters:
    max_stops: 1
    include_hidden: true
    max_hidden_hops: 1
  output:
    directory: output
    filename_pattern: "{plan}_{timestamp}.csv"
  itinerary:
    leg_limit: 0       # Unlimited per leg; set 10 for a conservative cap.
    max_combinations: 0
plans:
  - name: sample-hop
    places:
      home: [ICN]
      city: [FUK, HKG]
    departures:
      "home->city":
        dates: ["2026-01-01", "2026-01-02"]
        max_stops: 0
      "city->home":
        window:
          start: "2026-01-04"
          end: "2026-01-05"
    filters:
      "home->city":
        max_stops: 0
    options:
      include_hidden: true
      max_hidden_hops: 1
http_proxy: null
concurrency: 1

Each plan expands airport combinations and departure calendars automatically.

Output fields

• plan_name marks the source plan for grouping.
• journey_id stores a stable slug per journey.
• journey_label summarizes endpoint codes and chosen dates.
• variant denotes scheduled legs or hidden discoveries.
• leg_sequence tracks zero-based leg ordering.
• origin_place and destination_place map to place identifiers.
• origin_code and destination_code store airport selections.
• hidden_via_places and hidden_via_codes capture intermediary hops.
• departure_date, departure_time, departure_at hold normalized timestamps.
• duration_hours stores decimal leg durations.
• airline holds the carrier label.
• stops and stop_notes capture arrival code plus stopover code, city, duration.
• seat_class records the requested cabin per segment.
• hidden_departure_at lists hidden-hop departure times when available.
• price stores fare digits or N/A when unavailable.
• is_best mirrors Google Flights highlights.
• currency shows the fare currency code.

Excel itinerary workbook

• Each run emits <csv_stem>_itineraries.xlsx alongside the CSV export.
• Columns follow <origin_place>-><destination_place>_<field> naming (e.g., home->las_price).
• Per-leg fields cover origin_code, destination_code, price, currency, seat_class, departure timestamps (including hidden departures), airline, stops, stop_notes, duration_hours, and variant flags.
• Totals include total_price, total_currency, and aggregated total_duration_hours.
• Tune leg_limit (flights per leg, 0 = unlimited, 10 recommended) and max_combinations (0 = unlimited) to balance coverage versus file size.

Project layout

• awesome_cheap_flights/cli.py handles CLI parsing and config loading.
• awesome_cheap_flights/main.py enables python -m execution.
• awesome_cheap_flights/pipeline.py runs scraping, expansion, and CSV export.

Release automation

• Pushing main triggers release workflow when relevant files change.
• Append [minor] to bump the minor version automatically.
• Use workflow_dispatch for manual bumps when needed.
• Provide a PYPI_TOKEN secret with publish permissions.
• Select current to reuse the existing version during manual runs.

Last commit id: 4c1f10512d3ea93aa615e249a18a54c598f8e339