examples/notebooks/san-jose-pd-firearm-report.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Parsing San Jose PD's firearm search reports\n",
    "\n",
    "This example uses `pdfplumber`'s visual debugging and text-extraction features to parse a fixed-width table embedded in a PDF. Thanks to [Ron Campbell](https://twitter.com/campbellronaldw) for the sample PDF."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.6.0\n"
     ]
    }
   ],
   "source": [
    "import pdfplumber\n",
    "import re\n",
    "print(pdfplumber.__version__)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load the PDF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "pdf = pdfplumber.open(\"../pdfs/san-jose-pd-firearm-sample.pdf\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Examine the first page"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "p0 = pdf.pages[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<pdfplumber.display.PageImage at 0x104c22f70>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "im = p0.to_image()\n",
    "im"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## See where the characters are on the page\n",
    "\n",
    "Below, we draw rectangles around each of the `char` objects that `pdfplumber` detected. By doing so, we can see that every line of the main part of the report is the same width, and that there are space (`\" \"`) characters padding out each field. That means we can parse those lines a lot like we'd parse a standard fixed-width data file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<pdfplumber.display.PageImage at 0x104c22f70>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "im.reset().draw_rects(p0.chars)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Extract the text from the PDF\n",
    "\n",
    "Using the `Page.extract_text(...)` method, we grab every character on the page, line by line:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For:1094N                                                           \n",
      "Page 1                                                SAN JOSE POLICE DEPT                         Date Report Run : Tue, May-24-16\n",
      "                                                         FIREARM SEARCH                               \n",
      "SEARCH CRITERIA: fi_property.item_status='B' and fi_property.entry_date between '07/01/2012' and '05/24/2016' and fi_p\n",
      "                 roperty.jurisdiction='SJ'                                                                            \n",
      "NUMBER OF RECORDS RETURNED: 983\n",
      "TYPE                 ITEM                   MAKE                                          MODEL           CALIBRE  STATUS    FLAGS\n",
      "-------------------- --------------------   --------------------------------------------- --------------- -------  --------  -----\n",
      "SERIAL NUMBER        REPORT/TAG NUMBER      CASE/FILE NUMBER        STORAGE LOCATION\n",
      "-------------        -------------------    --------------------    ----------------------- \n",
      "PISTOL               REVOLVER               UNKWN/UNPUBLSHD MAKE                          UNKNOWN         38       FOUND     _d__\n",
      "1721                    Tag#:SJ3095-1         GO SJ 2012-122590518  WA-GR/GUN DESTRUCTION  \n",
      "SHOTGUN              DOUBLE BARREL          STEVEN/J STVNS ARMS                           311 SERIES H    12GA     FOUND     _d__\n",
      "REMOVED                 Tag#:SJ3123-1         GO SJ 2012-122620320  WA-GR/GUN DESTRUCTION  \n",
      "PISTOL               SEMI-AUTOMATIC         TAURUS FORJAS                                 PT40 PRO MIL'NU 40       FOUND     _d__\n",
      "SZH77919                Tag#:SJ3360-1         GO SJ 2012-122670386  WA-GR/GUN DESTRUCTION/G\n",
      "PISTOL               SEMI-AUTOMATIC         SMITH AND WESSON                              39              9MM      FOUND     _d__\n",
      "85517                   Tag#:SJ3686-1         GO SJ 2012-122741016  WA-GR/GUN DESTRUCTION/G\n",
      "PISTOL               SEMI-AUTOMATIC         HIGH POINT                                    JCP             40       FOUND     ____\n",
      "REMOVED                 Tag#:SJ3724-1         GO SJ 2012-122750582  WA-GR/GUN DESTRUCTION/G\n",
      "PISTOL               REVOLVER               COLT                                          DETECTIVE SPEC  38       FOUND     _d__\n",
      "982982                  Tag#:SJ4077-2         GO SJ 2012-122840637  WA-GR/GUN DESTRUCTION/Z\n",
      "SHOTGUN              DOUBLE BARREL          MISS.VALLEY ARMS CO.                          UNK             12GA     FOUND     _d__\n",
      "279861                  Tag#:SJ4117-1         GO SJ 2012-122850220  WA-GR/GUN DESTRUCTION  \n",
      "RIFLE                LEVER ACTION           SEARS ROEBUCK & CO.                           5               22       FOUND     _d__\n",
      "63723                   Tag#:SJ4172-1         GO SJ 2012-122860208  WA-GR/GUN DESTRUCTION  \n",
      "PISTOL               SEMI-AUTOMATIC         COLT                                          MATCH TARGET    .22      FOUND     _d__\n",
      "142061S                 Tag#:SJ4324-1         GO SJ 2012-122890285  WA-GR/GD-SCCCL         \n",
      "PISTOL               REVOLVER               SMITH AND WESSON                              UNKNOWN         .22      FOUND     _d__\n",
      "K22539                  Tag#:SJ4324-2         GO SJ 2012-122890285  WA-GR/GUN DESTRUCTION  \n",
      "RIFLE                LEVER ACTION           STEVEN/J STVNS ARMS                           CRACK SHOT 26   .22      FOUND     _d__\n",
      "UNKNOWN                 Tag#:SJ4324-3         GO SJ 2012-122890285  WA-GR/GUN DESTRUCTION  \n",
      "PISTOL               SEMI-AUTOMATIC         CARL WALTHER                                  PPK             7.65     FOUND     _d__\n",
      "832229                  Tag#:SJ4664-1         GO SJ 2012-122960284  WA-GR/GD-SCCCL         \n",
      "                                                           Flags = e (evidence)  d (disposed)  x (x-reference)  n (entered on NCIC)\n"
     ]
    }
   ],
   "source": [
    "text = p0.extract_text()\n",
    "print(text)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Stripping away the header and footer\n",
    "\n",
    "In this step, we use a regular expression to focus on the core part of the page — the table."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "core_pat = re.compile(r\"LOCATION[\\-\\s]+(.*)\\n\\s+Flags = e\", re.DOTALL)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "core = re.search(core_pat, text).group(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PISTOL               REVOLVER               UNKWN/UNPUBLSHD MAKE                          UNKNOWN         38       FOUND     _d__\n",
      "1721                    Tag#:SJ3095-1         GO SJ 2012-122590518  WA-GR/GUN DESTRUCTION  \n",
      "SHOTGUN              DOUBLE BARREL          STEVEN/J STVNS ARMS                           311 SERIES H    12GA     FOUND     _d__\n",
      "REMOVED                 Tag#:SJ3123-1         GO SJ 2012-122620320  WA-GR/GUN DESTRUCTION  \n",
      "PISTOL               SEMI-AUTOMATIC         TAURUS FORJAS                                 PT40 PRO MIL'NU 40       FOUND     _d__\n",
      "SZH77919                Tag#:SJ3360-1         GO SJ 2012-122670386  WA-GR/GUN DESTRUCTION/G\n",
      "PISTOL               SEMI-AUTOMATIC         SMITH AND WESSON                              39              9MM      FOUND     _d__\n",
      "85517                   Tag#:SJ3686-1         GO SJ 2012-122741016  WA-GR/GUN DESTRUCTION/G\n",
      "PISTOL               SEMI-AUTOMATIC         HIGH POINT                                    JCP             40       FOUND     ____\n",
      "REMOVED                 Tag#:SJ3724-1         GO SJ 2012-122750582  WA-GR/GUN DESTRUCTION/G\n",
      "PISTOL               REVOLVER               COLT                                          DETECTIVE SPEC  38       FOUND     _d__\n",
      "982982                  Tag#:SJ4077-2         GO SJ 2012-122840637  WA-GR/GUN DESTRUCTION/Z\n",
      "SHOTGUN              DOUBLE BARREL          MISS.VALLEY ARMS CO.                          UNK             12GA     FOUND     _d__\n",
      "279861                  Tag#:SJ4117-1         GO SJ 2012-122850220  WA-GR/GUN DESTRUCTION  \n",
      "RIFLE                LEVER ACTION           SEARS ROEBUCK & CO.                           5               22       FOUND     _d__\n",
      "63723                   Tag#:SJ4172-1         GO SJ 2012-122860208  WA-GR/GUN DESTRUCTION  \n",
      "PISTOL               SEMI-AUTOMATIC         COLT                                          MATCH TARGET    .22      FOUND     _d__\n",
      "142061S                 Tag#:SJ4324-1         GO SJ 2012-122890285  WA-GR/GD-SCCCL         \n",
      "PISTOL               REVOLVER               SMITH AND WESSON                              UNKNOWN         .22      FOUND     _d__\n",
      "K22539                  Tag#:SJ4324-2         GO SJ 2012-122890285  WA-GR/GUN DESTRUCTION  \n",
      "RIFLE                LEVER ACTION           STEVEN/J STVNS ARMS                           CRACK SHOT 26   .22      FOUND     _d__\n",
      "UNKNOWN                 Tag#:SJ4324-3         GO SJ 2012-122890285  WA-GR/GUN DESTRUCTION  \n",
      "PISTOL               SEMI-AUTOMATIC         CARL WALTHER                                  PPK             7.65     FOUND     _d__\n",
      "832229                  Tag#:SJ4664-1         GO SJ 2012-122960284  WA-GR/GD-SCCCL         \n"
     ]
    }
   ],
   "source": [
    "print(core)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Parse each group of two lines\n",
    "\n",
    "In the report, each firearm takes up two lines. The code below splits the core table into two-line groups, and then parses out the fields, based on the number of characters in each field:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('PISTOL               REVOLVER               UNKWN/UNPUBLSHD MAKE                          UNKNOWN         38       FOUND     _d__', '1721                    Tag#:SJ3095-1         GO SJ 2012-122590518  WA-GR/GUN DESTRUCTION  ')\n"
     ]
    }
   ],
   "source": [
    "lines = core.split(\"\\n\")\n",
    "line_groups = list(zip(lines[::2], lines[1::2]))\n",
    "print(line_groups[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def parse_row(first_line, second_line):\n",
    "    return {\n",
    "        \"type\": first_line[:20].strip(),\n",
    "        \"item\": first_line[21:41].strip(),\n",
    "        \"make\": first_line[44:89].strip(),\n",
    "        \"model\": first_line[90:105].strip(),\n",
    "        \"calibre\": first_line[106:111].strip(),\n",
    "        \"status\": first_line[112:120].strip(),\n",
    "        \"flags\": first_line[124:129].strip(),\n",
    "        \"serial_number\": second_line[0:13].strip(),\n",
    "        \"report_tag_number\": second_line[21:41].strip(),\n",
    "        \"case_file_number\": second_line[44:64].strip(),\n",
    "        \"storage_location\": second_line[68:91].strip(),\n",
    "    }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "parsed = [ parse_row(first_line, second_line) \n",
    "    for first_line, second_line in line_groups ]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Result\n",
    "\n",
    "Below, you can see the parsed data for the first two firearms in the report:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'type': 'PISTOL',\n",
       "  'item': 'REVOLVER',\n",
       "  'make': 'UNKWN/UNPUBLSHD MAKE',\n",
       "  'model': 'UNKNOWN',\n",
       "  'calibre': '38',\n",
       "  'status': 'FOUND',\n",
       "  'flags': '_d__',\n",
       "  'serial_number': '1721',\n",
       "  'report_tag_number': 'Tag#:SJ3095-1',\n",
       "  'case_file_number': 'GO SJ 2012-1225905',\n",
       "  'storage_location': 'WA-GR/GUN DESTRUCTION'},\n",
       " {'type': 'SHOTGUN',\n",
       "  'item': 'DOUBLE BARREL',\n",
       "  'make': 'STEVEN/J STVNS ARMS',\n",
       "  'model': '311 SERIES H',\n",
       "  'calibre': '12GA',\n",
       "  'status': 'FOUND',\n",
       "  'flags': '_d__',\n",
       "  'serial_number': 'REMOVED',\n",
       "  'report_tag_number': 'Tag#:SJ3123-1',\n",
       "  'case_file_number': 'GO SJ 2012-1226203',\n",
       "  'storage_location': 'WA-GR/GUN DESTRUCTION'}]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "parsed[:2]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Preview via `pandas.DataFrame`\n",
    "\n",
    "To make it a little easier to read, here's the full table, parsed and represented as a `pandas.DataFrame` (for ease of viewing):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>type</th>\n",
       "      <th>item</th>\n",
       "      <th>make</th>\n",
       "      <th>model</th>\n",
       "      <th>calibre</th>\n",
       "      <th>status</th>\n",
       "      <th>flags</th>\n",
       "      <th>serial_number</th>\n",
       "      <th>report_tag_number</th>\n",
       "      <th>case_file_number</th>\n",
       "      <th>storage_location</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>PISTOL</td>\n",
       "      <td>REVOLVER</td>\n",
       "      <td>UNKWN/UNPUBLSHD MAKE</td>\n",
       "      <td>UNKNOWN</td>\n",
       "      <td>38</td>\n",
       "      <td>FOUND</td>\n",
       "      <td>_d__</td>\n",
       "      <td>1721</td>\n",
       "      <td>Tag#:SJ3095-1</td>\n",
       "      <td>GO SJ 2012-1225905</td>\n",
       "      <td>WA-GR/GUN DESTRUCTION</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SHOTGUN</td>\n",
       "      <td>DOUBLE BARREL</td>\n",
       "      <td>STEVEN/J STVNS ARMS</td>\n",
       "      <td>311 SERIES H</td>\n",
       "      <td>12GA</td>\n",
       "      <td>FOUND</td>\n",
       "      <td>_d__</td>\n",
       "      <td>REMOVED</td>\n",
       "      <td>Tag#:SJ3123-1</td>\n",
       "      <td>GO SJ 2012-1226203</td>\n",
       "      <td>WA-GR/GUN DESTRUCTION</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>PISTOL</td>\n",
       "      <td>SEMI-AUTOMATIC</td>\n",
       "      <td>TAURUS FORJAS</td>\n",
       "      <td>PT40 PRO MIL'NU</td>\n",
       "      <td>40</td>\n",
       "      <td>FOUND</td>\n",
       "      <td>_d__</td>\n",
       "      <td>SZH77919</td>\n",
       "      <td>Tag#:SJ3360-1</td>\n",
       "      <td>GO SJ 2012-1226703</td>\n",
       "      <td>WA-GR/GUN DESTRUCTION/G</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>PISTOL</td>\n",
       "      <td>SEMI-AUTOMATIC</td>\n",
       "      <td>SMITH AND WESSON</td>\n",
       "      <td>39</td>\n",
       "      <td>9MM</td>\n",
       "      <td>FOUND</td>\n",
       "      <td>_d__</td>\n",
       "      <td>85517</td>\n",
       "      <td>Tag#:SJ3686-1</td>\n",
       "      <td>GO SJ 2012-1227410</td>\n",
       "      <td>WA-GR/GUN DESTRUCTION/G</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>PISTOL</td>\n",
       "      <td>SEMI-AUTOMATIC</td>\n",
       "      <td>HIGH POINT</td>\n",
       "      <td>JCP</td>\n",
       "      <td>40</td>\n",
       "      <td>FOUND</td>\n",
       "      <td>____</td>\n",
       "      <td>REMOVED</td>\n",
       "      <td>Tag#:SJ3724-1</td>\n",
       "      <td>GO SJ 2012-1227505</td>\n",
       "      <td>WA-GR/GUN DESTRUCTION/G</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>PISTOL</td>\n",
       "      <td>REVOLVER</td>\n",
       "      <td>COLT</td>\n",
       "      <td>DETECTIVE SPEC</td>\n",
       "      <td>38</td>\n",
       "      <td>FOUND</td>\n",
       "      <td>_d__</td>\n",
       "      <td>982982</td>\n",
       "      <td>Tag#:SJ4077-2</td>\n",
       "      <td>GO SJ 2012-1228406</td>\n",
       "      <td>WA-GR/GUN DESTRUCTION/Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>SHOTGUN</td>\n",
       "      <td>DOUBLE BARREL</td>\n",
       "      <td>MISS.VALLEY ARMS CO.</td>\n",
       "      <td>UNK</td>\n",
       "      <td>12GA</td>\n",
       "      <td>FOUND</td>\n",
       "      <td>_d__</td>\n",
       "      <td>279861</td>\n",
       "      <td>Tag#:SJ4117-1</td>\n",
       "      <td>GO SJ 2012-1228502</td>\n",
       "      <td>WA-GR/GUN DESTRUCTION</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>RIFLE</td>\n",
       "      <td>LEVER ACTION</td>\n",
       "      <td>SEARS ROEBUCK &amp; CO.</td>\n",
       "      <td>5</td>\n",
       "      <td>22</td>\n",
       "      <td>FOUND</td>\n",
       "      <td>_d__</td>\n",
       "      <td>63723</td>\n",
       "      <td>Tag#:SJ4172-1</td>\n",
       "      <td>GO SJ 2012-1228602</td>\n",
       "      <td>WA-GR/GUN DESTRUCTION</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>PISTOL</td>\n",
       "      <td>SEMI-AUTOMATIC</td>\n",
       "      <td>COLT</td>\n",
       "      <td>MATCH TARGET</td>\n",
       "      <td>.22</td>\n",
       "      <td>FOUND</td>\n",
       "      <td>_d__</td>\n",
       "      <td>142061S</td>\n",
       "      <td>Tag#:SJ4324-1</td>\n",
       "      <td>GO SJ 2012-1228902</td>\n",
       "      <td>WA-GR/GD-SCCCL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>PISTOL</td>\n",
       "      <td>REVOLVER</td>\n",
       "      <td>SMITH AND WESSON</td>\n",
       "      <td>UNKNOWN</td>\n",
       "      <td>.22</td>\n",
       "      <td>FOUND</td>\n",
       "      <td>_d__</td>\n",
       "      <td>K22539</td>\n",
       "      <td>Tag#:SJ4324-2</td>\n",
       "      <td>GO SJ 2012-1228902</td>\n",
       "      <td>WA-GR/GUN DESTRUCTION</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>RIFLE</td>\n",
       "      <td>LEVER ACTION</td>\n",
       "      <td>STEVEN/J STVNS ARMS</td>\n",
       "      <td>CRACK SHOT 26</td>\n",
       "      <td>.22</td>\n",
       "      <td>FOUND</td>\n",
       "      <td>_d__</td>\n",
       "      <td>UNKNOWN</td>\n",
       "      <td>Tag#:SJ4324-3</td>\n",
       "      <td>GO SJ 2012-1228902</td>\n",
       "      <td>WA-GR/GUN DESTRUCTION</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>PISTOL</td>\n",
       "      <td>SEMI-AUTOMATIC</td>\n",
       "      <td>CARL WALTHER</td>\n",
       "      <td>PPK</td>\n",
       "      <td>7.65</td>\n",
       "      <td>FOUND</td>\n",
       "      <td>_d__</td>\n",
       "      <td>832229</td>\n",
       "      <td>Tag#:SJ4664-1</td>\n",
       "      <td>GO SJ 2012-1229602</td>\n",
       "      <td>WA-GR/GD-SCCCL</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       type            item                  make            model calibre  \\\n",
       "0    PISTOL        REVOLVER  UNKWN/UNPUBLSHD MAKE          UNKNOWN      38   \n",
       "1   SHOTGUN   DOUBLE BARREL   STEVEN/J STVNS ARMS     311 SERIES H    12GA   \n",
       "2    PISTOL  SEMI-AUTOMATIC         TAURUS FORJAS  PT40 PRO MIL'NU      40   \n",
       "3    PISTOL  SEMI-AUTOMATIC      SMITH AND WESSON               39     9MM   \n",
       "4    PISTOL  SEMI-AUTOMATIC            HIGH POINT              JCP      40   \n",
       "5    PISTOL        REVOLVER                  COLT   DETECTIVE SPEC      38   \n",
       "6   SHOTGUN   DOUBLE BARREL  MISS.VALLEY ARMS CO.              UNK    12GA   \n",
       "7     RIFLE    LEVER ACTION   SEARS ROEBUCK & CO.                5      22   \n",
       "8    PISTOL  SEMI-AUTOMATIC                  COLT     MATCH TARGET     .22   \n",
       "9    PISTOL        REVOLVER      SMITH AND WESSON          UNKNOWN     .22   \n",
       "10    RIFLE    LEVER ACTION   STEVEN/J STVNS ARMS    CRACK SHOT 26     .22   \n",
       "11   PISTOL  SEMI-AUTOMATIC          CARL WALTHER              PPK    7.65   \n",
       "\n",
       "   status flags serial_number report_tag_number    case_file_number  \\\n",
       "0   FOUND  _d__          1721     Tag#:SJ3095-1  GO SJ 2012-1225905   \n",
       "1   FOUND  _d__       REMOVED     Tag#:SJ3123-1  GO SJ 2012-1226203   \n",
       "2   FOUND  _d__      SZH77919     Tag#:SJ3360-1  GO SJ 2012-1226703   \n",
       "3   FOUND  _d__         85517     Tag#:SJ3686-1  GO SJ 2012-1227410   \n",
       "4   FOUND  ____       REMOVED     Tag#:SJ3724-1  GO SJ 2012-1227505   \n",
       "5   FOUND  _d__        982982     Tag#:SJ4077-2  GO SJ 2012-1228406   \n",
       "6   FOUND  _d__        279861     Tag#:SJ4117-1  GO SJ 2012-1228502   \n",
       "7   FOUND  _d__         63723     Tag#:SJ4172-1  GO SJ 2012-1228602   \n",
       "8   FOUND  _d__       142061S     Tag#:SJ4324-1  GO SJ 2012-1228902   \n",
       "9   FOUND  _d__        K22539     Tag#:SJ4324-2  GO SJ 2012-1228902   \n",
       "10  FOUND  _d__       UNKNOWN     Tag#:SJ4324-3  GO SJ 2012-1228902   \n",
       "11  FOUND  _d__        832229     Tag#:SJ4664-1  GO SJ 2012-1229602   \n",
       "\n",
       "           storage_location  \n",
       "0     WA-GR/GUN DESTRUCTION  \n",
       "1     WA-GR/GUN DESTRUCTION  \n",
       "2   WA-GR/GUN DESTRUCTION/G  \n",
       "3   WA-GR/GUN DESTRUCTION/G  \n",
       "4   WA-GR/GUN DESTRUCTION/G  \n",
       "5   WA-GR/GUN DESTRUCTION/Z  \n",
       "6     WA-GR/GUN DESTRUCTION  \n",
       "7     WA-GR/GUN DESTRUCTION  \n",
       "8            WA-GR/GD-SCCCL  \n",
       "9     WA-GR/GUN DESTRUCTION  \n",
       "10    WA-GR/GUN DESTRUCTION  \n",
       "11           WA-GR/GD-SCCCL  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "columns = list(parsed[0].keys())\n",
    "pd.DataFrame(parsed)[columns]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "---\n",
    "\n",
    "---"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.1"
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 },
 "nbformat": 4,
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