Skip to main content
This page documents all configurable parameters in the Historia Para Gandules project.

​
Instagram Scraping Configuration

​
Profile Settings

​
profile_name
string
default:"historiaparagandules"
The Instagram username to scrape content from.Location: scraping5.py:8Example:
profile_name = "historiaparagandules"

​
Output Settings

​
output_file
string
default:"informacion_reels_simple.csv"
CSV filename for scraped data output.Location: scraping5.py:14Format: UTF-8 encoded CSV with headers

​
CSV Headers

The output CSV includes the following columns:
  1. Fecha - Post date
  2. Texto del reel - Caption text
  3. Likes - Like count
  4. Comentarios - Comment count
  5. URL del video - Video file URL
  6. Visualizaciones - View count
  7. Duración del video (s) - Duration in seconds
  8. URL del Post - Instagram post URL

​
Map Generation Configuration

​
Input Data

​
input_file
string
default:"excel_info_1.xlsx"
Excel file containing reel data with location information.Location: mapita5.py:11Required columns:
  • Localización - Coordinates in “lat,lon” format
  • URL de imagen - Image URL for thumbnails
  • Texto del reel - Reel caption
  • URL del Post - Instagram post link

​
Image Storage

​
image_directory
string
default:"imagenes"
Directory for storing downloaded thumbnail images.Location: mapita5.py:6-8Behavior: Created automatically if it doesn’t exist
​
image_filename_pattern
string
default:"imagenes/imagen_{index}.jpg"
Naming pattern for downloaded images.Variables:
  • {index} - Row index from the DataFrame

​
Map Display Settings

​
map_center
array
default:"[28.0, -15.0]"
Initial center coordinates for the map [latitude, longitude].Location: mapita5.py:40Default: Centered on the Canary IslandsFormat: [latitude, longitude]Example:
# For Tenerife
map_center = [28.4636, -16.2518]

# For Gran Canaria  
map_center = [28.1248, -15.4300]
​
zoom_start
integer
default:"6"
Initial zoom level for the map.Location: mapita5.py:40Range: 1-18
  • 1-3: World view
  • 4-6: Country/region view (default)
  • 7-10: City view
  • 11-18: Street/building view
​
popup_max_width
integer
default:"300"
Maximum width in pixels for marker popup windows.Location: mapita5.py:57
​
thumbnail_width
integer
default:"200"
Width in pixels for thumbnail images in popups.Location: mapita5.py:51Note: Height is set to auto to maintain aspect ratio

​
Output Settings

​
output_map
string
default:"mapa_ubicaciones_reels_with_thumbnails.html"
Filename for the generated HTML map.Location: mapita5.py:61Format: Standalone HTML file with embedded JavaScript

​
Data Analysis Configuration

​
Input Data

​
analysis_input
string
default:"excel_info_1.xlsx"
Excel file for exploratory data analysis.Location: EDA.ipynb

​
Display Settings

​
max_colwidth
None
Pandas display option for showing full column content.Usage:
pd.set_option('display.max_colwidth', None)

​
Visualization Settings

The analysis notebook uses:
  • Matplotlib for static plots
  • Seaborn for statistical visualizations
  • Plotly for interactive charts
Color schemes:
  • Categories: Default Plotly color palette
  • Bubble sizes: Proportional to view counts

​
Environment Requirements

​
Python Version

Recommended: Python 3.8 or higher

​
Required Packages

instaloader
pandas
folium
requests
matplotlib
seaborn
plotly
openpyxl

​
Installation

pip install instaloader pandas folium requests matplotlib seaborn plotly openpyxl

Build docs developers (and LLMs) love

Get started for freeTalk to us