diff --git a/.github/workflows/on_pull_request.yml b/.github/workflows/on_pull_request.yml
new file mode 100644
index 0000000..5bd245e
--- /dev/null
+++ b/.github/workflows/on_pull_request.yml
@@ -0,0 +1,44 @@
+# Run pylint and pytest
+name: Build-Lint-Test
+on: [pull_request]
+jobs:
+  test:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Check out the code
+        uses: actions/checkout@v1
+        with:
+          fetch-depth: 1
+
+      - name: Set up Python 3.8
+        uses: actions/setup-python@v1
+        with:
+          python-version: 3.8
+
+      - name: Install Poetry
+        uses: snok/install-poetry@v1.1.4
+
+      - name: Cache Poetry installed packages
+        uses: actions/cache@v1
+        id: cache
+        with:
+          path: .venv
+          key: poetry-${{ hashFiles('**/poetry.lock') }}
+          restore-keys: poetry-
+
+      - name: Install Dependencies using Poetry
+        working-directory: data_extractor
+        run: poetry install
+        if: steps.cache.outputs.cache-hit != 'true'
+
+      - name: Pylint
+        working-directory: data_extractor
+        run: poetry run pylint google_semantic_location_history
+
+      - name: Flake8
+        working-directory: data_extractor
+        run: poetry run flake8 google_semantic_location_history
+
+      - name: Pytest
+        working-directory: data_extractor      
+        run: poetry run pytest -v --cov=google_semantic_location_history --cov=data_extractor --cov-fail-under=80 tests/
diff --git a/.tool-versions b/.tool-versions
new file mode 100644
index 0000000..3febf4d
--- /dev/null
+++ b/.tool-versions
@@ -0,0 +1 @@
+python 3.8.7
diff --git a/data_extractor/.flake8 b/data_extractor/.flake8
new file mode 100644
index 0000000..82fd927
--- /dev/null
+++ b/data_extractor/.flake8
@@ -0,0 +1,3 @@
+[flake8]
+max-line-length = 100
+exclude = tests/*
\ No newline at end of file
diff --git a/data_extractor/.gitignore b/data_extractor/.gitignore
new file mode 100644
index 0000000..c3edd16
--- /dev/null
+++ b/data_extractor/.gitignore
@@ -0,0 +1,5 @@
+bin/
+lib/
+lib64
+pyvenv.cfg
+dist
diff --git a/data_extractor/.pylintrc b/data_extractor/.pylintrc
new file mode 100644
index 0000000..3b90e16
--- /dev/null
+++ b/data_extractor/.pylintrc
@@ -0,0 +1,4 @@
+[FORMAT]
+
+# Maximum number of characters on a single line.
+max-line-length=100
\ No newline at end of file
diff --git a/data_extractor/README.rst b/data_extractor/README.rst
index 4ba0e8d..d6d5040 100644
--- a/data_extractor/README.rst
+++ b/data_extractor/README.rst
@@ -18,9 +18,8 @@ The behavior of the ``process`` function can be verified by running the tests.
 The test are located in the ``tests`` folder. To run the tests execute:
 ``poetry run pytest``.
 
-To run the extraction code from the browser first run ``poetry build`` to
-create an updated version of the Python Wheel (package).
-Now run: ``python3 -m http.server`` from the root folder (the one with
+To run the extraction code from the browser run: 
+``python3 -m http.server`` from the root folder (the one with
 ``.git``). This will start a webserver on: 
 `localhost <http://localhost:8000>`__.
 
diff --git a/data_extractor/data_extractor/__init__.py b/data_extractor/data_extractor/__init__.py
index 0e096b9..50e2e49 100644
--- a/data_extractor/data_extractor/__init__.py
+++ b/data_extractor/data_extractor/__init__.py
@@ -2,6 +2,7 @@
 
 import zipfile
 
+
 def process(file_data):
     names = []
     data = []
diff --git a/data_extractor/dist/data_extractor-0.1.0-py3-none-any.whl b/data_extractor/dist/data_extractor-0.1.0-py3-none-any.whl
deleted file mode 100644
index 7486f17..0000000
Binary files a/data_extractor/dist/data_extractor-0.1.0-py3-none-any.whl and /dev/null differ
diff --git a/data_extractor/dist/data_extractor-0.1.0.tar.gz b/data_extractor/dist/data_extractor-0.1.0.tar.gz
deleted file mode 100644
index 2370a4c..0000000
Binary files a/data_extractor/dist/data_extractor-0.1.0.tar.gz and /dev/null differ
diff --git a/data_extractor/google_semantic_location_history/__init__.py b/data_extractor/google_semantic_location_history/__init__.py
new file mode 100644
index 0000000..32316e3
--- /dev/null
+++ b/data_extractor/google_semantic_location_history/__init__.py
@@ -0,0 +1,134 @@
+"""Script to extract data from Google Semantic History Location zipfile"""
+__version__ = '0.1.0'
+
+import json
+import itertools
+import re
+import zipfile
+
+import pandas as pd
+
+
+# years and months to extract data for
+YEARS = [2019, 2020, 2021]
+MONTHS = ["JANUARY"]
+NPLACES = 3
+TEXT = "This study examines the change in travel behaviour during the COVID-19 pandemic. \
+We therefore examined your Google semantic Location History data for January in 2019, \
+2020, and 2021. To be precise, we extracted per month the total number of visited places, \
+and the number of days spend per place for the three most visited places. Also, we extracted \
+the number of days spend in places and travelling, and the travelled distance in km."
+
+
+def __visit_duration(data):
+    """Get duration per visited place
+    Args:
+        data (dict): Google Semantic Location History data
+    Returns:
+        dict: duration per visited place, sorted in descending order
+    """
+    placevisit_duration = []
+    for data_unit in data["timelineObjects"]:
+        if "placeVisit" in data_unit:
+            address = data_unit["placeVisit"]["location"]["placeId"]
+            start_time = data_unit["placeVisit"]["duration"]["startTimestampMs"]
+            end_time = data_unit["placeVisit"]["duration"]["endTimestampMs"]
+            placevisit_duration.append(
+                {address: (int(end_time) - int(start_time))/(1e3*24*60*60)})
+
+    # list of places visited
+    address_list = {next(iter(duration)) for duration in placevisit_duration}
+
+    # dict of time spend per place
+    places = {}
+    for address in address_list:
+        places[address] = round(sum(
+            [duration[address] for duration in placevisit_duration
+                if address == list(duration.keys())[0]]), 3)
+    # Sort places to amount of time spend
+    places = dict(sorted(places.items(), key=lambda kv: kv[1], reverse=True))
+
+    return places
+
+
+def __activity_duration(data):
+    """Get total duration of activities
+    Args:
+        data (dict): Google Semantic Location History data
+    Returns:
+        float: duration of actitvities in days
+    """
+    activity_duration = 0.0
+    for data_unit in data["timelineObjects"]:
+        if "activitySegment" in data_unit.keys():
+            start_time = data_unit["activitySegment"]["duration"]["startTimestampMs"]
+            end_time = data_unit["activitySegment"]["duration"]["endTimestampMs"]
+            activity_duration += (int(end_time) - int(start_time))/(1e3*24*60*60)
+    return activity_duration
+
+
+def __activity_distance(data):
+    """Get total distance of activities
+    Args:
+        data (dict): Google Semantic Location History data
+    Returns:
+        float: duration of actitvities in days
+    """
+    activity_distance = 0.0
+    for data_unit in data["timelineObjects"]:
+        if "activitySegment" in data_unit.keys():
+            activity_distance += int(data_unit["activitySegment"]["distance"])/1000.0
+
+    return activity_distance
+
+
+def process(file_data):
+    """Return relevant data from zipfile for years and months
+    Args:
+        file_data: zip file or object
+
+    Returns:
+        dict: dict with summary and DataFrame with extracted data
+    """
+    results = []
+    filenames = []
+
+    # Extract info from selected years and months
+    with zipfile.ZipFile(file_data) as zfile:
+        file_list = zfile.namelist()
+        for year in YEARS:
+            for month in MONTHS:
+                for name in file_list:
+                    monthfile = f"{year}_{month}.json"
+                    if re.search(monthfile, name) is not None:
+                        filenames.append(monthfile)
+                        data = json.loads(zfile.read(name).decode("utf8"))
+                        places = __visit_duration(data)
+                        results.append({
+                            "Year": year,
+                            "Month": month,
+                            "Top Places": dict(itertools.islice(places.items(), NPLACES)),
+                            "Number of Places": len(places),
+                            "Places Duration [days]": round(
+                                sum(value for value in places.values()), 3),
+                            "Activity Duration [days]": round(__activity_duration(data), 3),
+                            "Activity Distance [km]": round(__activity_distance(data), 3)
+                        })
+                        break
+
+    # Put results in DataFrame
+    data_frame = pd.json_normalize(results)
+
+    # Anonymize by replace PlaceIds with numbers
+    number = 0
+    for column in data_frame.columns:
+        if column.split(".")[0] == "Top Places":
+            number += 1
+            data_frame.rename(columns={column: f"Place {number} [days]"}, inplace=True)
+
+    return {
+        "summary": TEXT,
+        "data_frames": [
+            data_frame.fillna(0)
+        ]
+    }
diff --git a/data_extractor/google_semantic_location_history/main.py b/data_extractor/google_semantic_location_history/main.py
new file mode 100644
index 0000000..e081267
--- /dev/null
+++ b/data_extractor/google_semantic_location_history/main.py
@@ -0,0 +1,14 @@
+"Main program to test google_semantic_location history script"
+import io
+import pandas as pd
+from google_semantic_location_history import process
+
+
+if __name__ == '__main__':
+    result = process("tests/data/Location History.zip")
+    print("\nRaw result:")
+    print(result)
+    data_frame = pd.read_csv(io.StringIO(result["data"]), sep=",")
+    pd.options.display.max_columns = 9
+    print("\nDataframe:")
+    print(data_frame)
diff --git a/data_extractor/poetry.lock b/data_extractor/poetry.lock
index cbbd87c..4590f20 100644
--- a/data_extractor/poetry.lock
+++ b/data_extractor/poetry.lock
@@ -1,3 +1,15 @@
+[[package]]
+name = "astroid"
+version = "2.5.6"
+description = "An abstract syntax tree for Python with inference support."
+category = "main"
+optional = false
+python-versions = "~=3.6"
+
+[package.dependencies]
+lazy-object-proxy = ">=1.4.0"
+wrapt = ">=1.11,<1.13"
+
 [[package]]
 name = "atomicwrites"
 version = "1.4.0"
@@ -8,34 +20,95 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
 [[package]]
 name = "attrs"
-version = "20.3.0"
+version = "21.2.0"
 description = "Classes Without Boilerplate"
 category = "dev"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
 [package.extras]
-dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "zope.interface", "furo", "sphinx", "pre-commit"]
-docs = ["furo", "sphinx", "zope.interface"]
-tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "zope.interface"]
-tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six"]
+dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "zope.interface", "furo", "sphinx", "sphinx-notfound-page", "pre-commit"]
+docs = ["furo", "sphinx", "zope.interface", "sphinx-notfound-page"]
+tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "zope.interface"]
+tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins"]
 
 [[package]]
 name = "colorama"
 version = "0.4.4"
 description = "Cross-platform colored terminal text."
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
+[[package]]
+name = "coverage"
+version = "5.5"
+description = "Code coverage measurement for Python"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, <4"
+
+[package.extras]
+toml = ["toml"]
+
+[[package]]
+name = "flake8"
+version = "3.9.2"
+description = "the modular source code checker: pep8 pyflakes and co"
+category = "dev"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
+
+[package.dependencies]
+mccabe = ">=0.6.0,<0.7.0"
+pycodestyle = ">=2.7.0,<2.8.0"
+pyflakes = ">=2.3.0,<2.4.0"
+
+[[package]]
+name = "isort"
+version = "5.8.0"
+description = "A Python utility / library to sort Python imports."
+category = "main"
+optional = false
+python-versions = ">=3.6,<4.0"
+
+[package.extras]
+pipfile_deprecated_finder = ["pipreqs", "requirementslib"]
+requirements_deprecated_finder = ["pipreqs", "pip-api"]
+colors = ["colorama (>=0.4.3,<0.5.0)"]
+
+[[package]]
+name = "lazy-object-proxy"
+version = "1.6.0"
+description = "A fast and thorough lazy object proxy."
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+
+[[package]]
+name = "mccabe"
+version = "0.6.1"
+description = "McCabe checker, plugin for flake8"
+category = "main"
+optional = false
+python-versions = "*"
+
 [[package]]
 name = "more-itertools"
-version = "8.7.0"
+version = "8.8.0"
 description = "More routines for operating on iterables, beyond itertools"
 category = "dev"
 optional = false
 python-versions = ">=3.5"
 
+[[package]]
+name = "numpy"
+version = "1.20.3"
+description = "NumPy is the fundamental package for array computing with Python."
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
 [[package]]
 name = "packaging"
 version = "20.9"
@@ -47,6 +120,22 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 [package.dependencies]
 pyparsing = ">=2.0.2"
 
+[[package]]
+name = "pandas"
+version = "1.2.4"
+description = "Powerful data structures for data analysis, time series, and statistics"
+category = "main"
+optional = false
+python-versions = ">=3.7.1"
+
+[package.dependencies]
+numpy = ">=1.16.5"
+python-dateutil = ">=2.7.3"
+pytz = ">=2017.3"
+
+[package.extras]
+test = ["pytest (>=5.0.1)", "pytest-xdist", "hypothesis (>=3.58)"]
+
 [[package]]
 name = "pluggy"
 version = "0.13.1"
@@ -66,6 +155,37 @@ category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
+[[package]]
+name = "pycodestyle"
+version = "2.7.0"
+description = "Python style guide checker"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
+[[package]]
+name = "pyflakes"
+version = "2.3.1"
+description = "passive checker of Python programs"
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
+[[package]]
+name = "pylint"
+version = "2.8.3"
+description = "python code static checker"
+category = "main"
+optional = false
+python-versions = "~=3.6"
+
+[package.dependencies]
+astroid = "2.5.6"
+colorama = {version = "*", markers = "sys_platform == \"win32\""}
+isort = ">=4.2.5,<6"
+mccabe = ">=0.6,<0.7"
+toml = ">=0.7.1"
+
 [[package]]
 name = "pyparsing"
 version = "2.4.7"
@@ -96,6 +216,57 @@ wcwidth = "*"
 checkqa-mypy = ["mypy (==v0.761)"]
 testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xmlschema"]
 
+[[package]]
+name = "pytest-cov"
+version = "2.12.1"
+description = "Pytest plugin for measuring coverage."
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+
+[package.dependencies]
+coverage = ">=5.2.1"
+pytest = ">=4.6"
+toml = "*"
+
+[package.extras]
+testing = ["fields", "hunter", "process-tests", "six", "pytest-xdist", "virtualenv"]
+
+[[package]]
+name = "python-dateutil"
+version = "2.8.1"
+description = "Extensions to the standard Python datetime module"
+category = "main"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+
+[package.dependencies]
+six = ">=1.5"
+
+[[package]]
+name = "pytz"
+version = "2021.1"
+description = "World timezone definitions, modern and historical"
+category = "main"
+optional = false
+python-versions = "*"
+
+[[package]]
+name = "six"
+version = "1.16.0"
+description = "Python 2 and 3 compatibility utilities"
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+
+[[package]]
+name = "toml"
+version = "0.10.2"
+description = "Python Library for Tom's Obvious, Minimal Language"
+category = "main"
+optional = false
+python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
+
 [[package]]
 name = "wcwidth"
 version = "0.2.5"
@@ -104,32 +275,178 @@ category = "dev"
 optional = false
 python-versions = "*"
 
+[[package]]
+name = "wrapt"
+version = "1.12.1"
+description = "Module for decorators, wrappers and monkey patching."
+category = "main"
+optional = false
+python-versions = "*"
+
 [metadata]
 lock-version = "1.1"
 python-versions = "^3.8"
-content-hash = "c27944f25b55067b06883f1cea204be7d97841a4b8228fab69b91895347494ad"
+content-hash = "83ef797239b90efd17e96ee776c759d626a489fd1dd19a8c2028b7431fb73bea"
 
 [metadata.files]
+astroid = [
+    {file = "astroid-2.5.6-py3-none-any.whl", hash = "sha256:4db03ab5fc3340cf619dbc25e42c2cc3755154ce6009469766d7143d1fc2ee4e"},
+    {file = "astroid-2.5.6.tar.gz", hash = "sha256:8a398dfce302c13f14bab13e2b14fe385d32b73f4e4853b9bdfb64598baa1975"},
+]
 atomicwrites = [
     {file = "atomicwrites-1.4.0-py2.py3-none-any.whl", hash = "sha256:6d1784dea7c0c8d4a5172b6c620f40b6e4cbfdf96d783691f2e1302a7b88e197"},
     {file = "atomicwrites-1.4.0.tar.gz", hash = "sha256:ae70396ad1a434f9c7046fd2dd196fc04b12f9e91ffb859164193be8b6168a7a"},
 ]
 attrs = [
-    {file = "attrs-20.3.0-py2.py3-none-any.whl", hash = "sha256:31b2eced602aa8423c2aea9c76a724617ed67cf9513173fd3a4f03e3a929c7e6"},
-    {file = "attrs-20.3.0.tar.gz", hash = "sha256:832aa3cde19744e49938b91fea06d69ecb9e649c93ba974535d08ad92164f700"},
+    {file = "attrs-21.2.0-py2.py3-none-any.whl", hash = "sha256:149e90d6d8ac20db7a955ad60cf0e6881a3f20d37096140088356da6c716b0b1"},
+    {file = "attrs-21.2.0.tar.gz", hash = "sha256:ef6aaac3ca6cd92904cdd0d83f629a15f18053ec84e6432106f7a4d04ae4f5fb"},
 ]
 colorama = [
     {file = "colorama-0.4.4-py2.py3-none-any.whl", hash = "sha256:9f47eda37229f68eee03b24b9748937c7dc3868f906e8ba69fbcbdd3bc5dc3e2"},
     {file = "colorama-0.4.4.tar.gz", hash = "sha256:5941b2b48a20143d2267e95b1c2a7603ce057ee39fd88e7329b0c292aa16869b"},
 ]
+coverage = [
+    {file = "coverage-5.5-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:b6d534e4b2ab35c9f93f46229363e17f63c53ad01330df9f2d6bd1187e5eaacf"},
+    {file = "coverage-5.5-cp27-cp27m-manylinux1_i686.whl", hash = "sha256:b7895207b4c843c76a25ab8c1e866261bcfe27bfaa20c192de5190121770672b"},
+    {file = "coverage-5.5-cp27-cp27m-manylinux1_x86_64.whl", hash = "sha256:c2723d347ab06e7ddad1a58b2a821218239249a9e4365eaff6649d31180c1669"},
+    {file = "coverage-5.5-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:900fbf7759501bc7807fd6638c947d7a831fc9fdf742dc10f02956ff7220fa90"},
+    {file = "coverage-5.5-cp27-cp27m-manylinux2010_x86_64.whl", hash = "sha256:004d1880bed2d97151facef49f08e255a20ceb6f9432df75f4eef018fdd5a78c"},
+    {file = "coverage-5.5-cp27-cp27m-win32.whl", hash = "sha256:06191eb60f8d8a5bc046f3799f8a07a2d7aefb9504b0209aff0b47298333302a"},
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+    {file = "numpy-1.20.3-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:4e465afc3b96dbc80cf4a5273e5e2b1e3451286361b4af70ce1adb2984d392f9"},
+    {file = "numpy-1.20.3.zip", hash = "sha256:e55185e51b18d788e49fe8305fd73ef4470596b33fc2c1ceb304566b99c71a69"},
 ]
 packaging = [
     {file = "packaging-20.9-py2.py3-none-any.whl", hash = "sha256:67714da7f7bc052e064859c05c595155bd1ee9f69f76557e21f051443c20947a"},
     {file = "packaging-20.9.tar.gz", hash = "sha256:5b327ac1320dc863dca72f4514ecc086f31186744b84a230374cc1fd776feae5"},
 ]
+pandas = [
+    {file = "pandas-1.2.4-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:c601c6fdebc729df4438ec1f62275d6136a0dd14d332fc0e8ce3f7d2aadb4dd6"},
+    {file = "pandas-1.2.4-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:8d4c74177c26aadcfb4fd1de6c1c43c2bf822b3e0fc7a9b409eeaf84b3e92aaa"},
+    {file = "pandas-1.2.4-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:b730add5267f873b3383c18cac4df2527ac4f0f0eed1c6cf37fcb437e25cf558"},
+    {file = "pandas-1.2.4-cp37-cp37m-win32.whl", hash = "sha256:2cb7e8f4f152f27dc93f30b5c7a98f6c748601ea65da359af734dd0cf3fa733f"},
+    {file = "pandas-1.2.4-cp37-cp37m-win_amd64.whl", hash = "sha256:2111c25e69fa9365ba80bbf4f959400054b2771ac5d041ed19415a8b488dc70a"},
+    {file = "pandas-1.2.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:167693a80abc8eb28051fbd184c1b7afd13ce2c727a5af47b048f1ea3afefff4"},
+    {file = "pandas-1.2.4-cp38-cp38-manylinux1_i686.whl", hash = "sha256:612add929bf3ba9d27b436cc8853f5acc337242d6b584203f207e364bb46cb12"},
+    {file = "pandas-1.2.4-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:971e2a414fce20cc5331fe791153513d076814d30a60cd7348466943e6e909e4"},
+    {file = "pandas-1.2.4-cp38-cp38-win32.whl", hash = "sha256:68d7baa80c74aaacbed597265ca2308f017859123231542ff8a5266d489e1858"},
+    {file = "pandas-1.2.4-cp38-cp38-win_amd64.whl", hash = "sha256:bd659c11a4578af740782288cac141a322057a2e36920016e0fc7b25c5a4b686"},
+    {file = "pandas-1.2.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9db70ffa8b280bb4de83f9739d514cd0735825e79eef3a61d312420b9f16b758"},
+    {file = "pandas-1.2.4-cp39-cp39-manylinux1_i686.whl", hash = "sha256:298f0553fd3ba8e002c4070a723a59cdb28eda579f3e243bc2ee397773f5398b"},
+    {file = "pandas-1.2.4-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:52d2472acbb8a56819a87aafdb8b5b6d2b3386e15c95bde56b281882529a7ded"},
+    {file = "pandas-1.2.4-cp39-cp39-win32.whl", hash = "sha256:d0877407359811f7b853b548a614aacd7dea83b0c0c84620a9a643f180060950"},
+    {file = "pandas-1.2.4-cp39-cp39-win_amd64.whl", hash = "sha256:2b063d41803b6a19703b845609c0b700913593de067b552a8b24dd8eeb8c9895"},
+    {file = "pandas-1.2.4.tar.gz", hash = "sha256:649ecab692fade3cbfcf967ff936496b0cfba0af00a55dfaacd82bdda5cb2279"},
+]
 pluggy = [
     {file = "pluggy-0.13.1-py2.py3-none-any.whl", hash = "sha256:966c145cd83c96502c3c3868f50408687b38434af77734af1e9ca461a4081d2d"},
     {file = "pluggy-0.13.1.tar.gz", hash = "sha256:15b2acde666561e1298d71b523007ed7364de07029219b604cf808bfa1c765b0"},
@@ -138,6 +455,18 @@ py = [
     {file = "py-1.10.0-py2.py3-none-any.whl", hash = "sha256:3b80836aa6d1feeaa108e046da6423ab8f6ceda6468545ae8d02d9d58d18818a"},
     {file = "py-1.10.0.tar.gz", hash = "sha256:21b81bda15b66ef5e1a777a21c4dcd9c20ad3efd0b3f817e7a809035269e1bd3"},
 ]
+pycodestyle = [
+    {file = "pycodestyle-2.7.0-py2.py3-none-any.whl", hash = "sha256:514f76d918fcc0b55c6680472f0a37970994e07bbb80725808c17089be302068"},
+    {file = "pycodestyle-2.7.0.tar.gz", hash = "sha256:c389c1d06bf7904078ca03399a4816f974a1d590090fecea0c63ec26ebaf1cef"},
+]
+pyflakes = [
+    {file = "pyflakes-2.3.1-py2.py3-none-any.whl", hash = "sha256:7893783d01b8a89811dd72d7dfd4d84ff098e5eed95cfa8905b22bbffe52efc3"},
+    {file = "pyflakes-2.3.1.tar.gz", hash = "sha256:f5bc8ecabc05bb9d291eb5203d6810b49040f6ff446a756326104746cc00c1db"},
+]
+pylint = [
+    {file = "pylint-2.8.3-py3-none-any.whl", hash = "sha256:792b38ff30903884e4a9eab814ee3523731abd3c463f3ba48d7b627e87013484"},
+    {file = "pylint-2.8.3.tar.gz", hash = "sha256:0a049c5d47b629d9070c3932d13bff482b12119b6a241a93bc460b0be16953c8"},
+]
 pyparsing = [
     {file = "pyparsing-2.4.7-py2.py3-none-any.whl", hash = "sha256:ef9d7589ef3c200abe66653d3f1ab1033c3c419ae9b9bdb1240a85b024efc88b"},
     {file = "pyparsing-2.4.7.tar.gz", hash = "sha256:c203ec8783bf771a155b207279b9bccb8dea02d8f0c9e5f8ead507bc3246ecc1"},
@@ -146,7 +475,30 @@ pytest = [
     {file = "pytest-5.4.3-py3-none-any.whl", hash = "sha256:5c0db86b698e8f170ba4582a492248919255fcd4c79b1ee64ace34301fb589a1"},
     {file = "pytest-5.4.3.tar.gz", hash = "sha256:7979331bfcba207414f5e1263b5a0f8f521d0f457318836a7355531ed1a4c7d8"},
 ]
+pytest-cov = [
+    {file = "pytest-cov-2.12.1.tar.gz", hash = "sha256:261ceeb8c227b726249b376b8526b600f38667ee314f910353fa318caa01f4d7"},
+    {file = "pytest_cov-2.12.1-py2.py3-none-any.whl", hash = "sha256:261bb9e47e65bd099c89c3edf92972865210c36813f80ede5277dceb77a4a62a"},
+]
+python-dateutil = [
+    {file = "python-dateutil-2.8.1.tar.gz", hash = "sha256:73ebfe9dbf22e832286dafa60473e4cd239f8592f699aa5adaf10050e6e1823c"},
+    {file = "python_dateutil-2.8.1-py2.py3-none-any.whl", hash = "sha256:75bb3f31ea686f1197762692a9ee6a7550b59fc6ca3a1f4b5d7e32fb98e2da2a"},
+]
+pytz = [
+    {file = "pytz-2021.1-py2.py3-none-any.whl", hash = "sha256:eb10ce3e7736052ed3623d49975ce333bcd712c7bb19a58b9e2089d4057d0798"},
+    {file = "pytz-2021.1.tar.gz", hash = "sha256:83a4a90894bf38e243cf052c8b58f381bfe9a7a483f6a9cab140bc7f702ac4da"},
+]
+six = [
+    {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
+    {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
+]
+toml = [
+    {file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
+    {file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
+]
 wcwidth = [
     {file = "wcwidth-0.2.5-py2.py3-none-any.whl", hash = "sha256:beb4802a9cebb9144e99086eff703a642a13d6a0052920003a230f3294bbe784"},
     {file = "wcwidth-0.2.5.tar.gz", hash = "sha256:c4d647b99872929fdb7bdcaa4fbe7f01413ed3d98077df798530e5b04f116c83"},
 ]
+wrapt = [
+    {file = "wrapt-1.12.1.tar.gz", hash = "sha256:b62ffa81fb85f4332a4f609cab4ac40709470da05643a082ec1eb88e6d9b97d7"},
+]
diff --git a/data_extractor/pyproject.toml b/data_extractor/pyproject.toml
index f0e1203..5c06b70 100644
--- a/data_extractor/pyproject.toml
+++ b/data_extractor/pyproject.toml
@@ -6,10 +6,17 @@ authors = ["Jeroen Vloothuis <jeroen@9bitcat.com>"]
 
 [tool.poetry.dependencies]
 python = "^3.8"
+pandas = "^1.2.4"
+pylint = "^2.8.2"
 
 [tool.poetry.dev-dependencies]
 pytest = "^5.2"
+pytest-cov = "^2.11.1"
+flake8 = "^3.9.2"
 
 [build-system]
 requires = ["poetry-core>=1.0.0"]
 build-backend = "poetry.core.masonry.api"
+
+[tool.pytest.ini_options]
+testpaths = ["tests"]
diff --git a/data_extractor/tests/test_google_semantic_location_history.py b/data_extractor/tests/test_google_semantic_location_history.py
new file mode 100644
index 0000000..b8ead0a
--- /dev/null
+++ b/data_extractor/tests/test_google_semantic_location_history.py
@@ -0,0 +1,136 @@
+"""Test data extraction from Google Semantic History Location zipfile"""
+import copy
+import json
+from zipfile import ZipFile
+from io import BytesIO
+from pytest import approx
+import pandas as pd
+from pandas.testing import assert_frame_equal
+from numpy import nan
+
+from google_semantic_location_history import __visit_duration
+from google_semantic_location_history import __activity_duration
+from google_semantic_location_history import __activity_distance
+from google_semantic_location_history import process
+
+
+ACTIVITY_DATA = {
+    "timelineObjects" : [ {
+        "activitySegment" : {
+            "duration" : {
+                "startTimestampMs" : "86400000",
+                "endTimestampMs" : "302400000"
+            },
+            "distance" : 1000,
+        }
+    }, {
+        "activitySegment" : {
+            "duration" : {
+                "startTimestampMs" : "0",
+                "endTimestampMs" : "43200000"
+            },
+            "distance" : 500,
+        }
+    },
+]}
+
+VISIT_DATA = {
+    "timelineObjects" : [ {
+        "placeVisit" : {
+            "location" : {
+                "placeId" : "placeX"
+            },
+            "duration" : {
+                "startTimestampMs" : "0",
+                "endTimestampMs" : "86400000"
+            }
+        }
+    }, {
+        "placeVisit" : {
+            "location" : {
+                "placeId" : "placeZ"
+            },
+            "duration" : {
+                "startTimestampMs" : "0",
+                "endTimestampMs" : "21600000"
+            }
+        }
+    }, {
+        "placeVisit" : {
+            "location" : {
+                "placeId" : "placeY"
+            },
+            "duration" : {
+                "startTimestampMs" : "0",
+                "endTimestampMs" : "43200000"
+            }
+        }
+    }, {
+        "placeVisit" : {
+            "location" : {
+                "placeId" : "placeA"
+            },
+            "duration" : {
+                "startTimestampMs" : "0",
+                "endTimestampMs" : "10000000"
+            }
+        }
+    }
+]}
+
+
+def __create_zip():
+    """
+    returns: zip archive
+    """
+    archive = BytesIO()
+    data_2020 = {**ACTIVITY_DATA, **VISIT_DATA}
+    data_2021 = copy.deepcopy(data_2020)
+    data_2021["timelineObjects"][0]["placeVisit"]["location"]["placeId"] = "placeA"
+    with ZipFile(archive, 'w') as zip_archive:
+        # Create files on zip archive
+        with zip_archive.open('Takeout/Location History/Semantic Location History/2021/2021_JANUARY.json', 'w') as file1:
+            file1.write(json.dumps(data_2020).encode('utf-8'))
+        with zip_archive.open('Takeout/Location History/Semantic Location History/2020/2020_JANUARY.json', 'w') as file1:
+            file1.write(json.dumps(data_2021).encode('utf-8'))
+        with zip_archive.open('Takeout/Location History/Semantic Location History/2018/2018_JANUARY.json', 'w') as file1:
+            file1.write(json.dumps(data_2020).encode('utf-8'))
+    return archive
+
+def __create_zip_no_matching_files():
+    """
+    returns: zip archive
+    """
+    archive = BytesIO()
+    data = {**ACTIVITY_DATA, **VISIT_DATA}
+    with ZipFile(archive, 'w') as zip_archive:
+        # Create files on zip archive
+        with zip_archive.open('Takeout/Location History/Semantic Location History/2018/2018_JANUARY.json', 'w') as file1:
+            file1.write(json.dumps(data).encode('utf-8'))
+        with zip_archive.open('Takeout/Location History/Semantic Location History/2021/2021_MARCH.json', 'w') as file1:
+            file1.write(json.dumps(data).encode('utf-8'))
+    return archive
+
+def test_visit_duration():
+    result = __visit_duration(VISIT_DATA)
+    assert result == dict([('placeX', 1.0), ('placeY', 0.5), ('placeZ', 0.25), ('placeA', 0.116)])
+
+def test_activity_duration():
+    result = __activity_duration(ACTIVITY_DATA)
+    assert result == approx(3.0)
+
+def test_activity_distance():
+    result = __activity_distance(ACTIVITY_DATA)
+    assert result == approx(1.5)
+
+def test_process():
+    result = process(__create_zip())
+    expected = pd.json_normalize([
+        {'Year': 2020, 'Month': 'JANUARY', 'Number of Places': 3, 'Places Duration [days]': 1.866, 'Activity Duration [days]': 0.0, 'Activity Distance [km]': 0.0, 'Place 1 [days]': 1.116, 'Place 2 [days]': 0.5, 'Place 3 [days]': 0.25, 'Place 4 [days]': 0.},
+        {'Year': 2021, 'Month': 'JANUARY', 'Number of Places': 4, 'Places Duration [days]': 1.866, 'Activity Duration [days]': 0.0, 'Activity Distance [km]': 0.0, 'Place 1 [days]': 0., 'Place 2 [days]': 0.5, 'Place 3 [days]': 0.25, 'Place 4 [days]': 1.0}])
+    assert_frame_equal(result["data_frames"][0], expected)
+
+def test_process_no_matching_files():
+    result = process(__create_zip_no_matching_files())
+    expected = pd.DataFrame()
+    assert_frame_equal(result["data_frames"][0], expected)
diff --git a/index.html b/index.html
index 6dd86cc..c51bfa4 100644
--- a/index.html
+++ b/index.html
@@ -6,6 +6,7 @@
 
 <div id="results" style="display: none">
   <p id="summary" />
+  <div id="html" />
 </div>
 
 <script type="text/javascript">
@@ -14,6 +15,7 @@
   const fileInput = document.getElementById("fileItem");
   const resultElement = document.getElementById("results");
   const summaryElement = document.getElementById("summary");
+  const htmlElement = document.getElementById("html");
 
   const pyWorker = new Worker("./pyworker.js");
   pyWorker.onerror = console.log;
@@ -22,6 +24,7 @@
     if (eventType === "result") {
       setControlsDisabled(false);
       summaryElement.textContent = event.data.result.summary;
+      htmlElement.innerHTML = event.data.result.html;
       resultElement.style.display = "block";
       console.log(event.data.result);
     } else if (eventType === "initialized") {
diff --git a/pyworker.js b/pyworker.js
index e569bc7..daae976 100644
--- a/pyworker.js
+++ b/pyworker.js
@@ -45,20 +45,13 @@ var data = undefined;
 
 languagePluginLoader
   .then(() => {
-    return pyodide.loadPackage("micropip");
+    return pyodide.loadPackage(["pandas"]);
   })
-  .then(() => {
-    return self.pyodide.runPython(
-      `
-import micropip
-micropip.install(
-    "http://localhost:8000/data_extractor/dist/data_extractor-0.1.0-py3-none-any.whl"
-    )`
-    );
-  })
-  .then(() => {
+  .then(() => fetch("/data_extractor/google_semantic_location_history/__init__.py"))
+  .then(response => response.text())
+  .then((code) => {
     self.pyodide.runPython(`
-import data_extractor
+${code}
 
 class _ChunkedFile:
   def __init__(self, proxy):
@@ -81,7 +74,17 @@ class _ChunkedFile:
 
 def _process_data(data):
   file_data = _ChunkedFile(data)
-  return data_extractor.process(file_data)
+  result = process(file_data)
+  data = []
+  html = []
+  for df in result.get("data_frames", []):
+    html.append(df.to_html())
+    data.append(df.to_dict())
+  return {
+    "summary": result["summary"],
+    "html": "\\n".join(html),
+    "data": data,
+  }
   `);
     self.postMessage({ eventType: "initialized" });
   });