This API parses the XML file generated by the SMS Backup & Restore Android app, which is saved to Google Drive. The file contains structured records of SMS and MMS messages, including details like sender, receiver, timestamps, and message content. This data can then be accessed and processed for further automation or analysis.
python manage.py import_contacts contacts.csv
This tool assumes the default file naming convention of the SMS Backup & Restore Android app, e.g.,
sms-20180101000000.xmlA service account allows you to access Google Drive programmatically without user interaction. This is useful for backend scripts or automation
- Go to Google Cloud Console.
- Select your project or create a new one.
- Navigate to APIs & Services > Credentials.
- Click Create Credentials > Service Account.
- Give it a name and description, then click Create.
- Under "Grant this service account access to project", assign the Editor or Owner role (for full access) or Drive API Admin.
- Click Create & Continue until done.
- Go to APIs & Services > Credentials.
- Click on your service account.
- Under Keys, click Add Key > JSON.
- Download the JSON file securely.
- Rename the downloaded file to
service_account.jsonand add tocredentials/service_account.json
- Go to APIs & Services > Library.
- Search for Google Drive API and enable it.
- Create a folder on Google Drive.
- Share the folder with the Service Account email (you can find this email in the service account details).
- Ensure the service account has the necessary permissions (Viewer, Editor, or higher).
- Use SMS Backup & Restore Android app to backup theh file will be saved on GDrive.
- Open Google Drive and navigate to the folder you shared with the service account.
- Drag and drop the SMS backup file into the shared folder.
- The file will now be stored in the Google Drive folder and accessible by the service account.
Retrieves the latest SMS backup data for a specified provider.
This endpoint requires API key authentication.
Header:
X-API-Key: your-api-key
| Parameter | Type | Required | Description |
|---|---|---|---|
| provider | string | Yes | The name of the cloud service provider |
{
"sms_messages": [
{
"id": "123456",
"sender": "+1234567890",
"recipient": "+0987654321",
"timestamp": "2025-04-20T14:30:00Z",
"message": "Example message content"
},
...
]
}400 Bad Request
{
"error": "Provider parameter is required"
}400 Bad Request
{
"error": "Invalid provider: {provider}"
}400 Bad Request
{
"error": "No SMS backup found."
}401 Unauthorized
{
"detail": "API key required"
}401 Unauthorized
{
"detail": "Invalid API key"
}500 Internal Server Error
{
"error": "An unexpected error occurred. Please try again later."
}curl -X GET "https://your-domain.com/api/get_latest_sms?provider=google_drive" \
-H "X-API-Key: your-api-key"import requests
url = "https://your-domain.com/api/get_latest_sms"
headers = {
"X-API-Key": "your-api-key"
}
params = {
"provider": "google_drive"
}
response = requests.get(url, headers=headers, params=params)
print(response.json())- Set request method to
GET - Enter URL:
https://your-domain.com/api/get_latest_sms?provider=google_drive - Under the Headers tab, add:
- Key:
X-API-Key - Value:
your-api-key
- Key:
- Click Send
- API keys should be kept secure and not shared publicly
- All requests should be made over HTTPS to ensure the API key is transmitted securely
- The response format may vary depending on the provider and available SMS data
---
title: Illustration
---
flowchart LR
A[Android App] -->|"1. Backup"| B[(Google Drive)]
subgraph "Django API"
direction TB
C[Drive Client] -->|"2. Retrieve"| B
C -->|"3. Parse"| D[XML → JSON]
D --> E[Django Backend]
end
E -.->|"4. Future"| F[Make Automation]
F -.->|"Workflows"| G[Use Cases]
classDef mobile fill:#A4C639,color:white
classDef storage fill:#4285F4,color:white
classDef process fill:#34A853,color:white
classDef convert fill:#FBBC05,color:black
classDef backend fill:#EA4335,color:white
classDef future fill:#9C27B0,color:white,stroke-dasharray:5 5
class A mobile
class B storage
class C process
class D convert
class E backend
class F,G future
You can create automations with the parsed data using Make (formerly Integromat).
flowchart TD
AndroidApp["SMS Backup & Restore\n(Android App)"]
subgraph "Storage"
GDrive["Google Drive\n(XML Storage)"]
XMLFile["Personal SMS XML Files"]
end
subgraph "API Processing"
Parser["XML Parser API"]
Extract["Extract & Parse Messages"]
end
subgraph "Integration Platform"
Make["Make.com"]
end
subgraph "Use Case Processing"
UC1["Message Archiving & Retrieval"]
UC2["Communication Insights"]
end
subgraph "Automation Ideas"
D1["Digital Memory Palace\n- 3D visualization\n- Spatial-temporal mapping of conversations"]
D2["Relationship Genome Project\n- Communication DNA mapping\n- Predictive relationship insights"]
D3["Conversational Time Machine\n- Life timeline generation\n- Past self-reflection"]
D4["Behavioral Economics Insights\n- Decision pattern analysis\n- Commitment tracking"]
D5["Cross-Platform Identity Unification\n- Aggregated messaging\n- Digital communication profile"]
D6["AI-Powered Emotion Tracker\n- Real-time sentiment analysis\n- Emotional evolution over time"]
D7["Historical Message Replay\n- Message-based video reenactments\n- Virtual reality conversation immersion"]
D8["Personalized Conversational Assistant\n- AI-driven conversation summary\n- Memory-based context suggestions"]
D9["Predictive Conversation Mapping\n- Predicting conversation flow\n- Context-aware suggestions"]
D10["Collective Intelligence Network\n- Collaborative message analysis\n- Shared learning from group conversations"]
D11["Memory Augmentation System\n- Neural augmentation of conversation memory\n- Enhanced recall of past interactions"]
D12["Life Planning Assistant\n- Context-aware life goal recommendations\n- Personalized life strategy advice"]
D13["Self-Reflection Journal\n- AI-driven conversation-based journaling\n- Personalized life analysis based on messages"]
D14["Stress Reduction Tracker\n- Real-time monitoring of stress-inducing messages\n- Relaxation tips based on tone and context"]
D15["Confidence Builder\n- Sentiment and tone analysis to enhance personal confidence\n- Growth tracking over time"]
D16["Digital Therapy Companion\n- Conversation-based mental health support\n- AI-driven emotional check-ins"]
D17["Time Management Assistant\n- Prioritize conversations that impact productivity\n- Automate task reminders based on messages"]
D18["Virtual Coach for Personal Development\n- Habit tracking and improvement suggestions\n- Personalized motivation based on past conversations"]
D19["Financial Conversation Advisor\n- Budgeting and financial advice based on message patterns\n- Detect spending habits and recommend savings"]
D20["Personalized Relationship Growth\n- Analyze conversation dynamics\n- Suggest improvements for personal relationships"]
D21["Personal Well-Being Dashboard\n- Holistic health monitoring based on message tone and content\n- Life balance tracking"]
D22["Health Behavior Tracker\n- Track health-related conversations and correlate them to personal well-being trends"]
D23["Sleep & Rest Insights\n- Analyze sleep-related conversations and offer rest optimization tips"]
D24["Mindfulness Enhancer\n- Track mindfulness-related conversations\n- Provide daily mindfulness exercises"]
D25["Social Support Network\n- Identify key support people in your conversations\n- Strengthen social ties with regular check-ins"]
D26["Creative Idea Generator\n- AI-based idea suggestions from past conversations\n- Creative brainstorming tool based on message data"]
D27["Virtual Memory Box\n- Store and categorize significant life moments\n- Revisit and reflect on key life events over time"]
D28["Voice of Self Tracker\n- Analyze your own evolving communication style\n- Track personal growth in expressing thoughts and feelings"]
D29["Personalized Productivity Insights\n- Actionable insights on improving productivity based on message analysis"]
D30["Behavioral Habit Formation\n- Track and suggest improvements to personal habits based on conversation data"]
D31["Behavioral Pattern Recognizer\n- Identify anomalous communication patterns\n- Trigger alerts"]
D32["Conversation Impact Analyzer\n- Assess influence of messages on behavior\n- Provide actionable recommendations"]
D33["Conversation Sentiment Forecasting\n- Predict upcoming sentiment trends\n- Alert on potential mood shifts"]
D34["Interactive Chat History Map\n- Visualize conversation threads over time\n- Interactive exploration"]
D35["Smart Notification Filter\n- Prioritize messages by importance\n- Reduce notification overload"]
D36["Voice-Activated Message Summarizer\n- Convert voice messages to summaries\n- Enhance accessibility"]
D37["Conversation Recap Bot\n- Summarize daily conversation highlights\n- Automated daily briefs"]
D38["Topic Clustering Assistant\n- Group messages by common themes\n- Improve content organization"]
D39["Message Urgency Classifier\n- Identify time-sensitive messages\n- Prioritize urgent communications"]
D40["Emotion Dynamics Analyzer\n- Track shifts in emotional tone\n- Visualize mood trajectories"]
D41["Data-Driven Relationship Advisor\n- Leverage data for relationship tips\n- Personalized advice engine"]
D42["Social Interaction Heatmap\n- Visualize peak messaging times\n- Understand interaction density"]
D43["Conversation Quality Evaluator\n- Rate conversation effectiveness\n- Provide improvement suggestions"]
D44["Conflict Detection System\n- Identify emerging conflicts\n- Propose resolution strategies"]
D45["Personal Communication Trends\n- Analyze style changes over time\n- Offer communication coaching"]
D46["Predictive Conversation Engagement\n- Forecast engagement levels\n- Optimize interaction timing"]
D47["Behavioral Change Detector\n- Detect shifts in communication habits\n- Early alert system"]
D48["Personal Reminder Engine\n- Extract actionable reminders\n- Automate follow-up tasks"]
D49["Sentiment-Triggered Actions\n- Initiate actions based on mood\n- Context-aware automation"]
D50["Conversational Mood Board\n- Create visual mood collages\n- Reflect on emotional history"]
D51["Message Habit Analyzer\n- Identify recurring communication patterns\n- Recommend habit improvements"]
D52["Customized Response Suggestion\n- Generate tailored reply suggestions\n- AI-powered conversational aid"]
D53["Longitudinal Communication Study\n- Analyze trends over extended periods\n- Research-grade insights"]
D54["Cross-Platform Message Sync\n- Ensure consistent messaging across devices\n- Seamless integration"]
D55["Virtual Archive Explorer\n- Intuitive navigation of past messages\n- Enhanced retrieval experience"]
D56["Memory Lane Navigator\n- Context-rich exploration of old conversations\n- Nostalgia mapping"]
D57["Conversation Impact Predictor\n- Forecast outcomes of ongoing chats\n- Data-driven predictions"]
D58["Self-Reflection Prompter\n- Offer introspective prompts\n- Encourage personal growth"]
D59["Interaction Frequency Analyzer\n- Measure communication regularity\n- Trend visualization"]
D60["Personal Data Visualizer\n- Graph and chart messaging data\n- Insights at a glance"]
D61["Message Context Extractor\n- Pull key themes from chats\n- Enhance understanding"]
D62["Automated Communication Coach\n- Provide tips for improved messaging\n- AI-guided suggestions"]
D63["Narrative Generation Tool\n- Create narrative summaries\n- Story-based conversation recaps"]
D64["Digital Legacy Curator\n- Organize messages for posterity\n- Create a digital memoir"]
D65["Behavior Prediction Module\n- Anticipate future messaging behavior\n- Proactive recommendations"]
D66["Interactive Communication Simulator\n- Model conversation scenarios\n- Practice interpersonal skills"]
D67["Message Relevance Scorer\n- Rate messages based on importance\n- Filter out noise"]
D68["Insightful Conversation Analyzer\n- Deep dive into dialogue nuances\n- Uncover hidden patterns"]
D69["Interactive Dialogue Enhancer\n- Tools to elevate live conversations\n- Real-time suggestions"]
D70["AI-Based Messaging Coach\n- Personalized coaching for communication\n- Enhance message effectiveness"]
D71["Message Anomaly Detector\n- Spot outlier messages quickly\n- Alert on unusual patterns"]
D72["Conversational Ecosystem Analyzer\n- Holistic view of social interactions\n- Cross-network insights"]
end
AndroidApp --> GDrive
GDrive --> XMLFile
XMLFile --> Parser
Parser --> Extract
Extract --> Make
Make --> UC1
Make --> UC2
Make --> D1
Make --> D2
Make --> D3
Make --> D4
Make --> D5
Make --> D6
Make --> D7
Make --> D8
Make --> D9
Make --> D10
Make --> D11
Make --> D12
Make --> D13
Make --> D14
Make --> D15
Make --> D16
Make --> D17
Make --> D18
Make --> D19
Make --> D20
Make --> D21
Make --> D22
Make --> D23
Make --> D24
Make --> D25
Make --> D26
Make --> D27
Make --> D28
Make --> D29
Make --> D30
Make --> D31
Make --> D32
Make --> D33
Make --> D34
Make --> D35
Make --> D36
Make --> D37
Make --> D38
Make --> D39
Make --> D40
Make --> D41
Make --> D42
Make --> D43
Make --> D44
Make --> D45
Make --> D46
Make --> D47
Make --> D48
Make --> D49
Make --> D50
Make --> D51
Make --> D52
Make --> D53
Make --> D54
Make --> D55
Make --> D56
Make --> D57
Make --> D58
Make --> D59
Make --> D60
Make --> D61
Make --> D62
Make --> D63
Make --> D64
Make --> D65
Make --> D66
Make --> D67
Make --> D68
Make --> D69
Make --> D70
Make --> D71
Make --> D72
classDef app fill:#FF5733,stroke:#900C3F,stroke-width:2px,color:white
classDef storage fill:#3498DB,stroke:#1A5276,stroke-width:2px,color:white
classDef api fill:#F39C12,stroke:#9A7D0A,stroke-width:2px,color:black
classDef integration fill:#9B59B6,stroke:#6C3483,stroke-width:2px,color:white
classDef usecase fill:#16A085,stroke:#0E6655,stroke-width:2px,color:white
classDef disruptive fill:#E74C3C,stroke:#943126,stroke-width:2px,color:white
class AndroidApp app
class GDrive,XMLFile storage
class Parser,Extract api
class Make integration
class UC1,UC2 usecase
class D1,D2,D3,D4,D5,D6,D7,D8,D9,D10,D11,D12,D13,D14,D15,D16,D17,D18,D19,D20,D21,D22,D23,D24,D25,D26,D27,D28,D29,D30,D31,D32,D33,D34,D35,D36,D37,D38,D39,D40,D41,D42,D43,D44,D45,D46,D47,D48,D49,D50,D51,D52,D53,D54,D55,D56,D57,D58,D59,D60,D61,D62,D63,D64,D65,D66,D67,D68,D69,D70,D71,D72 disruptive