# Flow Table Extractor

**For Chrome Users**

This step-by-step guide shows you how to install and use the Flow Table Extractor extension.

---

## 📥 Installation (One-Time Setup)

### Step 1: Download the Extension

1. Download `flow-table-extractor.zip`
2. Unzip the file to a folder on your computer
3. Remember where you saved it!

### Step 2: Install in Chrome

**Open Chrome Extensions Page:**

1. Open Chrome browser
2. Type in address bar: `chrome://extensions/`
3. Press Enter

!\[Extensions Page\](Or navigate: Menu (⋮) → Extensions → Manage Extensions)

**Enable Developer Mode:**

1. Look at the top-right corner
2. Find the toggle switch "Developer mode"
3. Turn it ON (it should turn blue)

**Load the Extension:**

1. Click "Load unpacked" button (top-left)
2. Navigate to the `flow-table-extractor` folder you unzipped
3. Click "Select Folder"

**Success!**

You should see the Flow Table Extractor card appear:

- Green "FT" icon
- Name: "Flow Table Extractor"
- Status: ON (blue toggle)

### Step 3: Pin the Extension (Recommended)

1. Click the puzzle piece icon (🧩) in Chrome toolbar
2. Find "Flow Table Extractor"
3. Click the pin icon (📌) next to it
4. The green "FT" icon will now appear in your toolbar

---

## ⚙️ Configuration (One-Time Setup)

### Step 4: Configure Your Credentials

**Open the Extension:**

1. Click the green "FT" icon in your Chrome toolbar
2. The Flow Table Extractor popup opens

**Configure Credentials:**

1. Click the button: **"Configure Flow Credentials"**
2. A form appears with three fields

**Fill in the Form:**

<div class="relative group/copy bg-bg-000/50 border-0.5 border-border-400 rounded-lg" id="bkmrk--2"><div class="sticky opacity-0 group-hover/copy:opacity-100 top-2 py-2 h-12 w-0 float-right"><div class="absolute right-0 h-8 px-2 items-center inline-flex z-10"><div class="relative"><div class="flex items-center justify-center transition-all opacity-100 scale-100"><svg aria-hidden="true" class="shrink-0 transition-all opacity-100 scale-100" fill="currentColor" height="20" viewbox="0 0 20 20" width="20" xmlns="http://www.w3.org/2000/svg"><path d="M10 1.5C11.1097 1.5 12.0758 2.10424 12.5947 3H14.5C15.3284 3 16 3.67157 16 4.5V16.5C16 17.3284 15.3284 18 14.5 18H5.5C4.67157 18 4 17.3284 4 16.5V4.5C4 3.67157 4.67157 3 5.5 3H7.40527C7.92423 2.10424 8.89028 1.5 10 1.5ZM5.5 4C5.22386 4 5 4.22386 5 4.5V16.5C5 16.7761 5.22386 17 5.5 17H14.5C14.7761 17 15 16.7761 15 16.5V4.5C15 4.22386 14.7761 4 14.5 4H12.958C12.9853 4.16263 13 4.32961 13 4.5V5.5C13 5.77614 12.7761 6 12.5 6H7.5C7.22386 6 7 5.77614 7 5.5V4.5C7 4.32961 7.0147 4.16263 7.04199 4H5.5ZM12.54 13.3037C12.6486 13.05 12.9425 12.9317 13.1963 13.04C13.45 13.1486 13.5683 13.4425 13.46 13.6963C13.1651 14.3853 12.589 15 11.7998 15C11.3132 14.9999 10.908 14.7663 10.5996 14.4258C10.2913 14.7661 9.88667 14.9999 9.40039 15C8.91365 15 8.50769 14.7665 8.19922 14.4258C7.89083 14.7661 7.48636 15 7 15C6.72386 15 6.5 14.7761 6.5 14.5C6.5 14.2239 6.72386 14 7 14C7.21245 14 7.51918 13.8199 7.74023 13.3037L7.77441 13.2373C7.86451 13.0913 8.02513 13 8.2002 13C8.40022 13.0001 8.58145 13.1198 8.66016 13.3037C8.88121 13.8198 9.18796 14 9.40039 14C9.61284 13.9998 9.9197 13.8197 10.1406 13.3037L10.1748 13.2373C10.2649 13.0915 10.4248 13.0001 10.5996 13C10.7997 13 10.9808 13.1198 11.0596 13.3037C11.2806 13.8198 11.5874 13.9999 11.7998 14C12.0122 14 12.319 13.8198 12.54 13.3037ZM12.54 9.30371C12.6486 9.05001 12.9425 8.93174 13.1963 9.04004C13.45 9.14863 13.5683 9.44253 13.46 9.69629C13.1651 10.3853 12.589 11 11.7998 11C11.3132 10.9999 10.908 10.7663 10.5996 10.4258C10.2913 10.7661 9.88667 10.9999 9.40039 11C8.91365 11 8.50769 10.7665 8.19922 10.4258C7.89083 10.7661 7.48636 11 7 11C6.72386 11 6.5 10.7761 6.5 10.5C6.5 10.2239 6.72386 10 7 10C7.21245 10 7.51918 9.8199 7.74023 9.30371L7.77441 9.2373C7.86451 9.09126 8.02513 9 8.2002 9C8.40022 9.00008 8.58145 9.11981 8.66016 9.30371C8.88121 9.8198 9.18796 10 9.40039 10C9.61284 9.99978 9.9197 9.81969 10.1406 9.30371L10.1748 9.2373C10.2649 9.09147 10.4248 9.00014 10.5996 9C10.7997 9 10.9808 9.11975 11.0596 9.30371C11.2806 9.8198 11.5874 9.99989 11.7998 10C12.0122 10 12.319 9.81985 12.54 9.30371ZM10 2.5C8.89543 2.5 8 3.39543 8 4.5V5H12V4.5C12 3.39543 11.1046 2.5 10 2.5Z"></path></svg></div><div class="flex items-center justify-center absolute top-0 left-0 transition-all opacity-0 scale-50"><svg aria-hidden="true" class="shrink-0 absolute top-0 left-0 transition-all opacity-0 scale-50" fill="currentColor" height="20" viewbox="0 0 20 20" width="20" xmlns="http://www.w3.org/2000/svg"><path d="M15.1883 5.10908C15.3699 4.96398 15.6346 4.96153 15.8202 5.11592C16.0056 5.27067 16.0504 5.53125 15.9403 5.73605L15.8836 5.82003L8.38354 14.8202C8.29361 14.9279 8.16242 14.9925 8.02221 14.9989C7.88203 15.0051 7.74545 14.9526 7.64622 14.8534L4.14617 11.3533L4.08172 11.2752C3.95384 11.0811 3.97542 10.817 4.14617 10.6463C4.31693 10.4755 4.58105 10.4539 4.77509 10.5818L4.85321 10.6463L7.96556 13.7586L15.1161 5.1794L15.1883 5.10908Z"></path></svg></div></div></div></div><div></div></div>```
┌─────────────────────────────────────┐
│ Flow Username:                      │
│ [your-flow-username____________]    │
│                                     │
│ Flow Password:                      │
│ [••••••••••••••••••••••••••]       │
│                                     │
│ Claude API Key (optional):          │
│ [sk-ant-api-key-here__________]    │
│ For smart table parsing...          │
│                                     │
│ [Save All Credentials]              │
│ [Cancel]                            │
└─────────────────────────────────────┘
```

**Field 1: Flow Username**

- Enter your Flow Immersive username
- Use your USERNAME, not email
- Example: `john` (not `john@company.com`)

**Field 2: Flow Password**

- Enter your Flow Immersive password
- This is the password you use to login at a.flow.gl

**Field 3: Claude API Key (Optional)**

- Leave blank if you don't have one
- Or enter your Claude API key for smart table parsing
- Example: `sk-ant-api03-abc123...`
- Get one at: [https://console.anthropic.com/](https://console.anthropic.com/)

**Save:**

1. Click **"Save All Credentials"**
2. You should see: "✓ All credentials saved securely!"
3. Credentials are saved and you'll never need to enter them again!

### What is Claude API Key?

**Claude AI** helps parse complex tables with:

- Multi-row headers
- Merged cells
- Nested structures

**Do you need it?**

- ❌ No - for simple tables (most tables)
- ✓ Yes - for Wikipedia-style complex tables
- ✓ Yes - for financial reports with grouped columns

**Cost:** ~$0.01-0.03 per table (1-3 cents)

**How to get one:**

1. Go to [https://console.anthropic.com/](https://console.anthropic.com/)
2. Sign up (free)
3. Go to "API Keys"
4. Click "Create Key"
5. Copy the key (starts with `sk-ant-`)
6. Paste into the extension

---

## 🚀 Using the Extension

### Step 5: Navigate to a Page with Tables

**Examples of good pages:**

- Wikipedia data tables
- Financial reports
- Product comparison pages
- Any page with HTML tables

**Example:**

1. Go to Wikipedia
2. Search for "List of countries by population"
3. You'll see tables with data

### Step 6: Open the Extension

Click the green **"FT"** icon in your toolbar.

The popup shows:

<div class="relative group/copy bg-bg-000/50 border-0.5 border-border-400 rounded-lg" id="bkmrk--4"><div class="sticky opacity-0 group-hover/copy:opacity-100 top-2 py-2 h-12 w-0 float-right"><div class="absolute right-0 h-8 px-2 items-center inline-flex z-10"><div class="relative"><div class="flex items-center justify-center transition-all opacity-100 scale-100"><svg aria-hidden="true" class="shrink-0 transition-all opacity-100 scale-100" fill="currentColor" height="20" viewbox="0 0 20 20" width="20" xmlns="http://www.w3.org/2000/svg"><path d="M10 1.5C11.1097 1.5 12.0758 2.10424 12.5947 3H14.5C15.3284 3 16 3.67157 16 4.5V16.5C16 17.3284 15.3284 18 14.5 18H5.5C4.67157 18 4 17.3284 4 16.5V4.5C4 3.67157 4.67157 3 5.5 3H7.40527C7.92423 2.10424 8.89028 1.5 10 1.5ZM5.5 4C5.22386 4 5 4.22386 5 4.5V16.5C5 16.7761 5.22386 17 5.5 17H14.5C14.7761 17 15 16.7761 15 16.5V4.5C15 4.22386 14.7761 4 14.5 4H12.958C12.9853 4.16263 13 4.32961 13 4.5V5.5C13 5.77614 12.7761 6 12.5 6H7.5C7.22386 6 7 5.77614 7 5.5V4.5C7 4.32961 7.0147 4.16263 7.04199 4H5.5ZM12.54 13.3037C12.6486 13.05 12.9425 12.9317 13.1963 13.04C13.45 13.1486 13.5683 13.4425 13.46 13.6963C13.1651 14.3853 12.589 15 11.7998 15C11.3132 14.9999 10.908 14.7663 10.5996 14.4258C10.2913 14.7661 9.88667 14.9999 9.40039 15C8.91365 15 8.50769 14.7665 8.19922 14.4258C7.89083 14.7661 7.48636 15 7 15C6.72386 15 6.5 14.7761 6.5 14.5C6.5 14.2239 6.72386 14 7 14C7.21245 14 7.51918 13.8199 7.74023 13.3037L7.77441 13.2373C7.86451 13.0913 8.02513 13 8.2002 13C8.40022 13.0001 8.58145 13.1198 8.66016 13.3037C8.88121 13.8198 9.18796 14 9.40039 14C9.61284 13.9998 9.9197 13.8197 10.1406 13.3037L10.1748 13.2373C10.2649 13.0915 10.4248 13.0001 10.5996 13C10.7997 13 10.9808 13.1198 11.0596 13.3037C11.2806 13.8198 11.5874 13.9999 11.7998 14C12.0122 14 12.319 13.8198 12.54 13.3037ZM12.54 9.30371C12.6486 9.05001 12.9425 8.93174 13.1963 9.04004C13.45 9.14863 13.5683 9.44253 13.46 9.69629C13.1651 10.3853 12.589 11 11.7998 11C11.3132 10.9999 10.908 10.7663 10.5996 10.4258C10.2913 10.7661 9.88667 10.9999 9.40039 11C8.91365 11 8.50769 10.7665 8.19922 10.4258C7.89083 10.7661 7.48636 11 7 11C6.72386 11 6.5 10.7761 6.5 10.5C6.5 10.2239 6.72386 10 7 10C7.21245 10 7.51918 9.8199 7.74023 9.30371L7.77441 9.2373C7.86451 9.09126 8.02513 9 8.2002 9C8.40022 9.00008 8.58145 9.11981 8.66016 9.30371C8.88121 9.8198 9.18796 10 9.40039 10C9.61284 9.99978 9.9197 9.81969 10.1406 9.30371L10.1748 9.2373C10.2649 9.09147 10.4248 9.00014 10.5996 9C10.7997 9 10.9808 9.11975 11.0596 9.30371C11.2806 9.8198 11.5874 9.99989 11.7998 10C12.0122 10 12.319 9.81985 12.54 9.30371ZM10 2.5C8.89543 2.5 8 3.39543 8 4.5V5H12V4.5C12 3.39543 11.1046 2.5 10 2.5Z"></path></svg></div><div class="flex items-center justify-center absolute top-0 left-0 transition-all opacity-0 scale-50"><svg aria-hidden="true" class="shrink-0 absolute top-0 left-0 transition-all opacity-0 scale-50" fill="currentColor" height="20" viewbox="0 0 20 20" width="20" xmlns="http://www.w3.org/2000/svg"><path d="M15.1883 5.10908C15.3699 4.96398 15.6346 4.96153 15.8202 5.11592C16.0056 5.27067 16.0504 5.53125 15.9403 5.73605L15.8836 5.82003L8.38354 14.8202C8.29361 14.9279 8.16242 14.9925 8.02221 14.9989C7.88203 15.0051 7.74545 14.9526 7.64622 14.8534L4.14617 11.3533L4.08172 11.2752C3.95384 11.0811 3.97542 10.817 4.14617 10.6463C4.31693 10.4755 4.58105 10.4539 4.77509 10.5818L4.85321 10.6463L7.96556 13.7586L15.1161 5.1794L15.1883 5.10908Z"></path></svg></div></div></div></div><div></div></div>```
┌─────────────────────────────────────────┐
│ [FLOW] Table Extractor    [📖 Docs]    │
├─────────────────────────────────────────┤
│                                         │
│  Select Table: [Table 1: Country... ▼] │
│  3 table(s) found                       │
│                                         │
│  Dataset Title: [My Dataset_______]    │
│                                         │
│  ☐ Use Claude AI for smart parsing     │
│                                         │
│  [Extract & Upload to Flow]            │
│  [Configure Flow Credentials]          │
│                                         │
├─────────────────────────────────────────┤
│      Flow Immersive, Inc.               │
└─────────────────────────────────────────┘
```

### Step 7: Select a Table

**Table Dropdown:**

- Shows all tables found on the page
- Preview format: "Table 1: FirstColumn, SecondColumn... (X rows)"
- Click dropdown to see all available tables
- Select the table you want to extract

**No tables found?**

- The page doesn't have HTML `<table>` elements
- Try a different page

### Step 8: Enter Dataset Title

**In the "Dataset Title" field:**

- Enter a descriptive name for your data
- Examples: 
    - `Country Population 2024`
    - `Q4 Sales Data`
    - `Product Comparison`
- Make it clear and memorable!

**Version Control:**

- If you use the same title again, Flow creates a new version
- Useful for tracking changes over time

### Step 9: Choose Parsing Mode (Optional)

**Checkbox: "Use Claude AI for smart table parsing"**

**When to check this box:**

- ☑️ Table has multi-row headers
- ☑️ Table has merged cells
- ☑️ Complex Wikipedia-style tables
- ☑️ Financial reports with nested columns

**When to leave unchecked:**

- ☐ Simple tables (one header row)
- ☐ You don't have a Claude API key
- ☐ You want fastest extraction

**Example tables that need Claude:**

<div class="relative group/copy bg-bg-000/50 border-0.5 border-border-400 rounded-lg" id="bkmrk--5"><div class="sticky opacity-0 group-hover/copy:opacity-100 top-2 py-2 h-12 w-0 float-right"><div class="absolute right-0 h-8 px-2 items-center inline-flex z-10"><div class="relative"><div class="flex items-center justify-center transition-all opacity-100 scale-100"><svg aria-hidden="true" class="shrink-0 transition-all opacity-100 scale-100" fill="currentColor" height="20" viewbox="0 0 20 20" width="20" xmlns="http://www.w3.org/2000/svg"><path d="M10 1.5C11.1097 1.5 12.0758 2.10424 12.5947 3H14.5C15.3284 3 16 3.67157 16 4.5V16.5C16 17.3284 15.3284 18 14.5 18H5.5C4.67157 18 4 17.3284 4 16.5V4.5C4 3.67157 4.67157 3 5.5 3H7.40527C7.92423 2.10424 8.89028 1.5 10 1.5ZM5.5 4C5.22386 4 5 4.22386 5 4.5V16.5C5 16.7761 5.22386 17 5.5 17H14.5C14.7761 17 15 16.7761 15 16.5V4.5C15 4.22386 14.7761 4 14.5 4H12.958C12.9853 4.16263 13 4.32961 13 4.5V5.5C13 5.77614 12.7761 6 12.5 6H7.5C7.22386 6 7 5.77614 7 5.5V4.5C7 4.32961 7.0147 4.16263 7.04199 4H5.5ZM12.54 13.3037C12.6486 13.05 12.9425 12.9317 13.1963 13.04C13.45 13.1486 13.5683 13.4425 13.46 13.6963C13.1651 14.3853 12.589 15 11.7998 15C11.3132 14.9999 10.908 14.7663 10.5996 14.4258C10.2913 14.7661 9.88667 14.9999 9.40039 15C8.91365 15 8.50769 14.7665 8.19922 14.4258C7.89083 14.7661 7.48636 15 7 15C6.72386 15 6.5 14.7761 6.5 14.5C6.5 14.2239 6.72386 14 7 14C7.21245 14 7.51918 13.8199 7.74023 13.3037L7.77441 13.2373C7.86451 13.0913 8.02513 13 8.2002 13C8.40022 13.0001 8.58145 13.1198 8.66016 13.3037C8.88121 13.8198 9.18796 14 9.40039 14C9.61284 13.9998 9.9197 13.8197 10.1406 13.3037L10.1748 13.2373C10.2649 13.0915 10.4248 13.0001 10.5996 13C10.7997 13 10.9808 13.1198 11.0596 13.3037C11.2806 13.8198 11.5874 13.9999 11.7998 14C12.0122 14 12.319 13.8198 12.54 13.3037ZM12.54 9.30371C12.6486 9.05001 12.9425 8.93174 13.1963 9.04004C13.45 9.14863 13.5683 9.44253 13.46 9.69629C13.1651 10.3853 12.589 11 11.7998 11C11.3132 10.9999 10.908 10.7663 10.5996 10.4258C10.2913 10.7661 9.88667 10.9999 9.40039 11C8.91365 11 8.50769 10.7665 8.19922 10.4258C7.89083 10.7661 7.48636 11 7 11C6.72386 11 6.5 10.7761 6.5 10.5C6.5 10.2239 6.72386 10 7 10C7.21245 10 7.51918 9.8199 7.74023 9.30371L7.77441 9.2373C7.86451 9.09126 8.02513 9 8.2002 9C8.40022 9.00008 8.58145 9.11981 8.66016 9.30371C8.88121 9.8198 9.18796 10 9.40039 10C9.61284 9.99978 9.9197 9.81969 10.1406 9.30371L10.1748 9.2373C10.2649 9.09147 10.4248 9.00014 10.5996 9C10.7997 9 10.9808 9.11975 11.0596 9.30371C11.2806 9.8198 11.5874 9.99989 11.7998 10C12.0122 10 12.319 9.81985 12.54 9.30371ZM10 2.5C8.89543 2.5 8 3.39543 8 4.5V5H12V4.5C12 3.39543 11.1046 2.5 10 2.5Z"></path></svg></div><div class="flex items-center justify-center absolute top-0 left-0 transition-all opacity-0 scale-50"><svg aria-hidden="true" class="shrink-0 absolute top-0 left-0 transition-all opacity-0 scale-50" fill="currentColor" height="20" viewbox="0 0 20 20" width="20" xmlns="http://www.w3.org/2000/svg"><path d="M15.1883 5.10908C15.3699 4.96398 15.6346 4.96153 15.8202 5.11592C16.0056 5.27067 16.0504 5.53125 15.9403 5.73605L15.8836 5.82003L8.38354 14.8202C8.29361 14.9279 8.16242 14.9925 8.02221 14.9989C7.88203 15.0051 7.74545 14.9526 7.64622 14.8534L4.14617 11.3533L4.08172 11.2752C3.95384 11.0811 3.97542 10.817 4.14617 10.6463C4.31693 10.4755 4.58105 10.4539 4.77509 10.5818L4.85321 10.6463L7.96556 13.7586L15.1161 5.1794L15.1883 5.10908Z"></path></svg></div></div></div></div><div></div></div>```
Simple table (no Claude needed):
┌──────────┬──────────┬──────────┐
│ Country  │ Population│ Area    │
├──────────┼──────────┼──────────┤
│ USA      │ 331M     │ 9.8M    │
└──────────┴──────────┴──────────┘

Complex table (use Claude):
┌──────────┬──────────────────────┐
│ Country  │     Statistics       │
│          ├──────────┬───────────┤
│          │ 2023     │ 2024      │
│          ├────┬─────┼────┬──────┤
│          │Pop │Area │Pop │Area  │
├──────────┼────┼─────┼────┼──────┤
│ USA      │331M│9.8M │334M│9.8M  │
└──────────┴────┴─────┴────┴──────┘
```

### Step 10: Extract!

Click the big green button: **"Extract &amp; Upload to Flow"**

**What happens:**

**Status message appears:**

- Without Claude: "Uploading to Flow..."
- With Claude: "Analyzing table with Claude AI..."

**Processing time:**

- Simple tables: 2-5 seconds
- With Claude AI: 5-10 seconds

**Success message:**

<div class="relative group/copy bg-bg-000/50 border-0.5 border-border-400 rounded-lg" id="bkmrk--6"><div class="sticky opacity-0 group-hover/copy:opacity-100 top-2 py-2 h-12 w-0 float-right"><div class="absolute right-0 h-8 px-2 items-center inline-flex z-10"><div class="relative"><div class="flex items-center justify-center transition-all opacity-100 scale-100"><svg aria-hidden="true" class="shrink-0 transition-all opacity-100 scale-100" fill="currentColor" height="20" viewbox="0 0 20 20" width="20" xmlns="http://www.w3.org/2000/svg"><path d="M10 1.5C11.1097 1.5 12.0758 2.10424 12.5947 3H14.5C15.3284 3 16 3.67157 16 4.5V16.5C16 17.3284 15.3284 18 14.5 18H5.5C4.67157 18 4 17.3284 4 16.5V4.5C4 3.67157 4.67157 3 5.5 3H7.40527C7.92423 2.10424 8.89028 1.5 10 1.5ZM5.5 4C5.22386 4 5 4.22386 5 4.5V16.5C5 16.7761 5.22386 17 5.5 17H14.5C14.7761 17 15 16.7761 15 16.5V4.5C15 4.22386 14.7761 4 14.5 4H12.958C12.9853 4.16263 13 4.32961 13 4.5V5.5C13 5.77614 12.7761 6 12.5 6H7.5C7.22386 6 7 5.77614 7 5.5V4.5C7 4.32961 7.0147 4.16263 7.04199 4H5.5ZM12.54 13.3037C12.6486 13.05 12.9425 12.9317 13.1963 13.04C13.45 13.1486 13.5683 13.4425 13.46 13.6963C13.1651 14.3853 12.589 15 11.7998 15C11.3132 14.9999 10.908 14.7663 10.5996 14.4258C10.2913 14.7661 9.88667 14.9999 9.40039 15C8.91365 15 8.50769 14.7665 8.19922 14.4258C7.89083 14.7661 7.48636 15 7 15C6.72386 15 6.5 14.7761 6.5 14.5C6.5 14.2239 6.72386 14 7 14C7.21245 14 7.51918 13.8199 7.74023 13.3037L7.77441 13.2373C7.86451 13.0913 8.02513 13 8.2002 13C8.40022 13.0001 8.58145 13.1198 8.66016 13.3037C8.88121 13.8198 9.18796 14 9.40039 14C9.61284 13.9998 9.9197 13.8197 10.1406 13.3037L10.1748 13.2373C10.2649 13.0915 10.4248 13.0001 10.5996 13C10.7997 13 10.9808 13.1198 11.0596 13.3037C11.2806 13.8198 11.5874 13.9999 11.7998 14C12.0122 14 12.319 13.8198 12.54 13.3037ZM12.54 9.30371C12.6486 9.05001 12.9425 8.93174 13.1963 9.04004C13.45 9.14863 13.5683 9.44253 13.46 9.69629C13.1651 10.3853 12.589 11 11.7998 11C11.3132 10.9999 10.908 10.7663 10.5996 10.4258C10.2913 10.7661 9.88667 10.9999 9.40039 11C8.91365 11 8.50769 10.7665 8.19922 10.4258C7.89083 10.7661 7.48636 11 7 11C6.72386 11 6.5 10.7761 6.5 10.5C6.5 10.2239 6.72386 10 7 10C7.21245 10 7.51918 9.8199 7.74023 9.30371L7.77441 9.2373C7.86451 9.09126 8.02513 9 8.2002 9C8.40022 9.00008 8.58145 9.11981 8.66016 9.30371C8.88121 9.8198 9.18796 10 9.40039 10C9.61284 9.99978 9.9197 9.81969 10.1406 9.30371L10.1748 9.2373C10.2649 9.09147 10.4248 9.00014 10.5996 9C10.7997 9 10.9808 9.11975 11.0596 9.30371C11.2806 9.8198 11.5874 9.99989 11.7998 10C12.0122 10 12.319 9.81985 12.54 9.30371ZM10 2.5C8.89543 2.5 8 3.39543 8 4.5V5H12V4.5C12 3.39543 11.1046 2.5 10 2.5Z"></path></svg></div><div class="flex items-center justify-center absolute top-0 left-0 transition-all opacity-0 scale-50"><svg aria-hidden="true" class="shrink-0 absolute top-0 left-0 transition-all opacity-0 scale-50" fill="currentColor" height="20" viewbox="0 0 20 20" width="20" xmlns="http://www.w3.org/2000/svg"><path d="M15.1883 5.10908C15.3699 4.96398 15.6346 4.96153 15.8202 5.11592C16.0056 5.27067 16.0504 5.53125 15.9403 5.73605L15.8836 5.82003L8.38354 14.8202C8.29361 14.9279 8.16242 14.9925 8.02221 14.9989C7.88203 15.0051 7.74545 14.9526 7.64622 14.8534L4.14617 11.3533L4.08172 11.2752C3.95384 11.0811 3.97542 10.817 4.14617 10.6463C4.31693 10.4755 4.58105 10.4539 4.77509 10.5818L4.85321 10.6463L7.96556 13.7586L15.1161 5.1794L15.1883 5.10908Z"></path></svg></div></div></div></div><div></div></div>```
✓ Success! Uploaded 150 rows to Flow 
dataset "Country Population 2024"
```

**Error message (if something goes wrong):**

<div class="relative group/copy bg-bg-000/50 border-0.5 border-border-400 rounded-lg" id="bkmrk--7"><div class="sticky opacity-0 group-hover/copy:opacity-100 top-2 py-2 h-12 w-0 float-right"><div class="absolute right-0 h-8 px-2 items-center inline-flex z-10"><div class="relative"><div class="flex items-center justify-center transition-all opacity-100 scale-100"><svg aria-hidden="true" class="shrink-0 transition-all opacity-100 scale-100" fill="currentColor" height="20" viewbox="0 0 20 20" width="20" xmlns="http://www.w3.org/2000/svg"><path d="M10 1.5C11.1097 1.5 12.0758 2.10424 12.5947 3H14.5C15.3284 3 16 3.67157 16 4.5V16.5C16 17.3284 15.3284 18 14.5 18H5.5C4.67157 18 4 17.3284 4 16.5V4.5C4 3.67157 4.67157 3 5.5 3H7.40527C7.92423 2.10424 8.89028 1.5 10 1.5ZM5.5 4C5.22386 4 5 4.22386 5 4.5V16.5C5 16.7761 5.22386 17 5.5 17H14.5C14.7761 17 15 16.7761 15 16.5V4.5C15 4.22386 14.7761 4 14.5 4H12.958C12.9853 4.16263 13 4.32961 13 4.5V5.5C13 5.77614 12.7761 6 12.5 6H7.5C7.22386 6 7 5.77614 7 5.5V4.5C7 4.32961 7.0147 4.16263 7.04199 4H5.5ZM12.54 13.3037C12.6486 13.05 12.9425 12.9317 13.1963 13.04C13.45 13.1486 13.5683 13.4425 13.46 13.6963C13.1651 14.3853 12.589 15 11.7998 15C11.3132 14.9999 10.908 14.7663 10.5996 14.4258C10.2913 14.7661 9.88667 14.9999 9.40039 15C8.91365 15 8.50769 14.7665 8.19922 14.4258C7.89083 14.7661 7.48636 15 7 15C6.72386 15 6.5 14.7761 6.5 14.5C6.5 14.2239 6.72386 14 7 14C7.21245 14 7.51918 13.8199 7.74023 13.3037L7.77441 13.2373C7.86451 13.0913 8.02513 13 8.2002 13C8.40022 13.0001 8.58145 13.1198 8.66016 13.3037C8.88121 13.8198 9.18796 14 9.40039 14C9.61284 13.9998 9.9197 13.8197 10.1406 13.3037L10.1748 13.2373C10.2649 13.0915 10.4248 13.0001 10.5996 13C10.7997 13 10.9808 13.1198 11.0596 13.3037C11.2806 13.8198 11.5874 13.9999 11.7998 14C12.0122 14 12.319 13.8198 12.54 13.3037ZM12.54 9.30371C12.6486 9.05001 12.9425 8.93174 13.1963 9.04004C13.45 9.14863 13.5683 9.44253 13.46 9.69629C13.1651 10.3853 12.589 11 11.7998 11C11.3132 10.9999 10.908 10.7663 10.5996 10.4258C10.2913 10.7661 9.88667 10.9999 9.40039 11C8.91365 11 8.50769 10.7665 8.19922 10.4258C7.89083 10.7661 7.48636 11 7 11C6.72386 11 6.5 10.7761 6.5 10.5C6.5 10.2239 6.72386 10 7 10C7.21245 10 7.51918 9.8199 7.74023 9.30371L7.77441 9.2373C7.86451 9.09126 8.02513 9 8.2002 9C8.40022 9.00008 8.58145 9.11981 8.66016 9.30371C8.88121 9.8198 9.18796 10 9.40039 10C9.61284 9.99978 9.9197 9.81969 10.1406 9.30371L10.1748 9.2373C10.2649 9.09147 10.4248 9.00014 10.5996 9C10.7997 9 10.9808 9.11975 11.0596 9.30371C11.2806 9.8198 11.5874 9.99989 11.7998 10C12.0122 10 12.319 9.81985 12.54 9.30371ZM10 2.5C8.89543 2.5 8 3.39543 8 4.5V5H12V4.5C12 3.39543 11.1046 2.5 10 2.5Z"></path></svg></div><div class="flex items-center justify-center absolute top-0 left-0 transition-all opacity-0 scale-50"><svg aria-hidden="true" class="shrink-0 absolute top-0 left-0 transition-all opacity-0 scale-50" fill="currentColor" height="20" viewbox="0 0 20 20" width="20" xmlns="http://www.w3.org/2000/svg"><path d="M15.1883 5.10908C15.3699 4.96398 15.6346 4.96153 15.8202 5.11592C16.0056 5.27067 16.0504 5.53125 15.9403 5.73605L15.8836 5.82003L8.38354 14.8202C8.29361 14.9279 8.16242 14.9925 8.02221 14.9989C7.88203 15.0051 7.74545 14.9526 7.64622 14.8534L4.14617 11.3533L4.08172 11.2752C3.95384 11.0811 3.97542 10.817 4.14617 10.6463C4.31693 10.4755 4.58105 10.4539 4.77509 10.5818L4.85321 10.6463L7.96556 13.7586L15.1161 5.1794L15.1883 5.10908Z"></path></svg></div></div></div></div><div></div></div>```
🔐 Flow Authentication Failed

Details: Invalid username or password.

💡 Suggestion: Update your Flow credentials 
in "Configure Flow Credentials".
```

### Step 11: View in Flow

1. Go to Flow Immersive (a.flow.gl)
2. Navigate to a Flow and your datasets via the Manage Datasets button
3. Find the dataset by the title you entered

---

## 💡 Tips &amp; Tricks

### Tip 1: Test Your Credentials

If you're getting authentication errors:

**Quick Test:**

1. Go to a.flow.gl
2. Try logging in with your credentials
3. If it works there but not in the extension: 
    - Make sure you're using USERNAME (not email)
    - Re-enter credentials in the extension

### Tip 2: Documentation Button

Click the blue **"📖 Docs"** button in the extension header to:

- Read detailed documentation
- See troubleshooting guides
- Learn advanced features

### Tip 3: Multiple Tables

If a page has many tables:

1. Extract them one at a time
2. Use different dataset titles
3. Or use the same title for versions

### Tip 4: Complex Tables

Wikipedia tables often have complex structures:

1. Check "Use Claude AI"
2. Takes a bit longer
3. Much better results!

**Example:** "List of largest companies" on Wikipedia

---

## 🔧 Troubleshooting

### Problem: "Cannot connect to backend server"

**Solution:** The backend server is hosted and should always be running. If you see this error:

1. Wait a moment and try again
2. Check your internet connection
3. Contact Flow if problem persists

### Problem: "Flow Authentication Failed"

**Cause:** Wrong username or password

**Solution:**

1. Click "Configure Flow Credentials"
2. Make sure you're using: 
    - USERNAME (not email)
    - Correct password
3. Test login at flowimmersive.com first
4. Re-enter credentials and save

### Problem: Claude AI checkbox is grayed out

**Cause:** No Claude API key configured

**Solution:**

1. Click "Configure Flow Credentials"
2. Add your Claude API key
3. Save
4. Checkbox will become available

### Problem: Upload is slow

**Normal speeds:**

- Simple tables: 2-5 seconds
- Claude AI parsing: 5-10 seconds
- Very large tables: up to 30 seconds

**If slower:**

- Check your internet connection
- Wait for timeout message
- Try again

---

## 📖 Common Workflows

### Workflow 1: Quick Wikipedia Data Extract

1. Go to Wikipedia article with data
2. Click "FT" icon
3. Select table from dropdown
4. Enter title: `Wikipedia - [Topic Name]`
5. Leave Claude unchecked (try it first)
6. Click "Extract &amp; Upload to Flow"
7. If table looks messy in Flow: 
    - Try again with "Use Claude AI" checked

### Workflow 2: Complex Financial Table

1. Navigate to financial report website
2. Find the data table
3. Click "FT" icon
4. Select table
5. Enter title: `Q4 2024 Financial Report`
6. ✓ Check "Use Claude AI" (complex table!)
7. Click "Extract &amp; Upload to Flow"
8. Wait 5-10 seconds
9. View perfectly formatted data in Flow!

### Workflow 3: Regular Data Updates

Same dataset, multiple versions:

1. Extract table from website
2. Use same dataset title each time
3. Example: `Weekly Sales Report`
4. Flow creates new version automatically
5. Track changes over time!

---

## ✅ Setup Checklist

Before using the extension:

- [ ] Downloaded and unzipped extension
- [ ] Installed in Chrome (chrome://extensions/)
- [ ] Enabled Developer mode
- [ ] Pinned extension to toolbar
- [ ] Configured Flow credentials
- [ ] (Optional) Added Claude API key
- [ ] Tested on a simple table

**You're ready to extract tables!** 🎉

---

## 🎓 Pro User Tips

### Dataset Organization

Use consistent naming:

- `Company - Data Type - Date`
- Example: `Acme Corp - Sales - 2024-Q4`

### Claude AI Usage

Save money:

1. Try without Claude first
2. If table is messy → Use Claude
3. Simple tables don't need it!

### Version Control

Track data over time:

1. Use same title weekly/monthly
2. Flow creates versions automatically
3. Compare changes in Flow

---

**Happy Table Extracting!** 📊✨