Instagram Analyzer

instagram-analyzer is an application written in Python that analyzes geotags using reverse geocoding in user's Instagram photos and videos.

It provides the data of specific locations, countries and cities you've visited so far, as well as how many times and which Instagram posts match the location.

Use responsibly.

What it does

📍 Store all instagram media data 📷

Script loads all user's instagram media and saves it in JSON format to insta_media_data.json. This data includes all media metadata, including likes, location, tagged users, comments, image url-s ...

📍 Store all instagram location data 📊

Script analyzes geotags and saves locations in JSON format to insta_locations_data.json. This data includes occurrence for each location as well as image and instagram media url-s ...

📍 Store all instagram countries and cities location data 📂

Countries and cities are additionally analyzed using reverse geocoding with LocationIQ API. Data is saved in insta_countires_data.json and insta_cities_data.json files.

📍 Prints occurrences for location, country and city ✈️

You have visited 99 different locations
You have visited 7  different countries
You have visited 32 different cities

📍 Print table view of most visited location, countries and cities 🌍

For example, when script is executed for nejckorasa print for countries looks like this:

Countries: 

+------+-----------------+-------------+
| rank | country         | occurrences |
+------+-----------------+-------------+
|  1   | Slovenia        |     51      |
+------+-----------------+-------------+
|  2   | The Netherlands |     12      |
+------+-----------------+-------------+
|  3   | Spain           |      8      |
+------+-----------------+-------------+
|  4   | Poland          |      8      |
+------+-----------------+-------------+
|  5   | Russia          |      7      |
+------+-----------------+-------------+
|  6   | Croatia         |      7      |
+------+-----------------+-------------+
|  7   | Hungary         |      6      |
+------+-----------------+-------------+

Script prints similar table for specific locations and cities.

Install & Usage

As of now installation is not very user friendly, you need to download insta_location_analyzer.py and run it as:

$ python insta_location_analyzer.py

To install all required dependencies run:

$ pip install -r requirenments.txt

Before you run it, see Configuration & Options

Configuration & Options

Acquire Instagram Access Token

Go to Pixelunion, generate token, don't forget the token!

Acquire Location IQ Access Token

Go to Location IQ, sign up, get the token, don't forget the token!

Paste tokens inside main method

See the main() method:

def main():

    analyze(
        insta_token='<INSTA_TOKEN_HERE>', 
        location_iq_token='<LOCATION_IQ_TOKEN_HERE>', 
        read_media_from_file=False, 
        countries=True)

Once instagram media data is stored in JSON, you can read it from there, instead of loading it again via Instagram API (API is limited to 200 request per hour). Set read_media_from_file=True

Stored data examples

When script is executed for nejckorasa data for one country item (Spain) looks like this:

"Spain": {
    "count": 8,
    "media_items": [
      [
        {
          "id": "<post_id>",
          "image": "https://scontent.cdninstagram.com/vp/e7705068da5e289f5e44c0c396c08f74/5BD54C95/t51.2885-15/sh0.08/e35/p640x640/36149213_609452269436842_8766778259800064000_n.jpg?efg=eyJ1cmxnZW4iOiJ1cmxnZW5fZnJvbV9pZyJ9",
          "link": "https://www.instagram.com/p/Bkh3-KfgxL9/"
        }
      ],
      {
        "id": "<post_id>",
        "image": "https://scontent.cdninstagram.com/vp/2b239894a363f6bbe93d604ab2cdfa8a/5BE953CD/t51.2885-15/sh0.08/e35/p640x640/33941046_171665143683479_8766885676932136960_n.jpg?efg=eyJ1cmxnZW4iOiJ1cmxnZW5fZnJvbV9pZyJ9",
        "link": "https://www.instagram.com/p/Bj7Uj56gxBs/"
      },
      {
        "id": "<post_id>",
        "image": "https://scontent.cdninstagram.com/vp/9d7003f674af9ca05accf9961df893a6/5BE28FDA/t51.2885-15/sh0.08/e35/p640x640/33120615_197967877520708_8731075699906969600_n.jpg?efg=eyJ1cmxnZW4iOiJ1cmxnZW5fZnJvbV9pZyJ9",
        "link": "https://www.instagram.com/p/Bjmp-6bAYus/"
      },
      {
        "id": "<post_id>",
        "image": "https://scontent.cdninstagram.com/vp/1e7ca79fc44823ff3ef8b24e6dd55e61/5BD1E8C3/t51.2885-15/sh0.08/e35/p640x640/33608474_597094857325212_724188974242856960_n.jpg?efg=eyJ1cmxnZW4iOiJ1cmxnZW5fZnJvbV9pZyJ9",
        "link": "https://www.instagram.com/p/BjR_9lpAqpc/"
      },
      {
        "id": "<post_id>",
        "image": "https://scontent.cdninstagram.com/vp/1b046c05b1cbe9708f57f5e591b68d1c/5BD8E039/t51.2885-15/sh0.08/e35/p640x640/32947036_172314443452529_4611639929133334528_n.jpg?efg=eyJ1cmxnZW4iOiJ1cmxnZW5fZnJvbV9pZyJ9",
        "link": "https://www.instagram.com/p/BjNEIwiA6Py/"
      },
      {
        "id": "<post_id>",
        "image": "https://scontent.cdninstagram.com/vp/5ac0e05fb60700cba4c41d6d1216eb5b/5BC8A9DB/t51.2885-15/e15/10802615_318814311644936_1896556761_n.jpg?efg=eyJ1cmxnZW4iOiJ1cmxnZW5fZnJvbV9pZyJ9",
        "link": "https://www.instagram.com/p/vdWuHBkwuY/"
      },
      {
        "id": "<post_id>",
        "image": "https://scontent.cdninstagram.com/vp/40620d8f5e7e01a546e2b958d18bd42a/5BE9E99F/t51.2885-15/e15/10784835_319487204924131_388050040_n.jpg?efg=eyJ1cmxnZW4iOiJ1cmxnZW5fZnJvbV9pZyJ9",
        "link": "https://www.instagram.com/p/vYybQyEwiA/"
      },
      {
        "id": "<post_id>",
        "image": "https://scontent.cdninstagram.com/vp/b733c0bdf312ee5c21bb3fd6148e6221/5BE263EA/t51.2885-15/e15/10802986_691193854310946_2042620114_n.jpg?efg=eyJ1cmxnZW4iOiJ1cmxnZW5fZnJvbV9pZyJ9",
        "link": "https://www.instagram.com/p/vc9ZFakwrq/"
      },
      {
        "id": "<post_id>",
        "image": "https://scontent.cdninstagram.com/vp/875bff08c310444273eae90a67e525dd/5BC8F29F/t51.2885-15/e15/928044_671144066338855_1666493611_n.jpg?efg=eyJ1cmxnZW4iOiJ1cmxnZW5fZnJvbV9pZyJ9",
        "link": "https://www.instagram.com/p/vaWbQLEwqX/"
      }
    ]
  }

Of course, <post_id> will be an actual post ID.

Data for cities is almost the same. For specific location one location item looks like this:

"236678869": {
    "latitude": 45.7925,
    "longitude": 15.1647,
    "name": "Novo Mesto",
    "id": 236678869,
    "count": 4,
    "media_items": [
      {
        "id": "<post_id>",
        "image": "https://scontent.cdninstagram.com/vp/6941d16b164ec488dd3a303004344f78/5BE40DE8/t51.2885-15/sh0.08/e35/p640x640/31270267_1592482480868234_8257495365851283456_n.jpg?efg=eyJ1cmxnZW4iOiJ1cmxnZW5fZnJvbV9pZyJ9",
        "link": "https://www.instagram.com/p/Bij24yzAdHB/"
      },
      {
        "id": "<post_id>",
        "image": "https://scontent.cdninstagram.com/vp/3189c0f2e5931f47b4506046ff26afff/5BDB6109/t51.2885-15/e15/10724200_1496985983889525_746072573_n.jpg?efg=eyJ1cmxnZW4iOiJ1cmxnZW5fZnJvbV9pZyJ9",
        "link": "https://www.instagram.com/p/uDDPHekwtW/"
      },
      {
        "id": "<post_id>",
        "image": "https://scontent.cdninstagram.com/vp/fbf31b5c410c9036ce43862012249d02/5BEC3F36/t51.2885-15/e15/10488704_250740985124191_1862853011_n.jpg?efg=eyJ1cmxnZW4iOiJ1cmxnZW5fZnJvbV9pZyJ9",
        "link": "https://www.instagram.com/p/q94LWMkwlk/"
      },
      {
        "id": "<post_id>",
        "image": "https://scontent.cdninstagram.com/vp/27c6681709c7b71fc86d8477c11d2b88/5BCAD041/t51.2885-15/e15/10013254_641464529259998_1091484863_n.jpg?efg=eyJ1cmxnZW4iOiJ1cmxnZW5fZnJvbV9pZyJ9",
        "link": "https://www.instagram.com/p/mKDvsikwsC/"
      }
    ],
    "city": "Novo mesto",
    "additional_data": {
      "place_id": "113385772",
      "licence": "\u00a9 LocationIQ.org CC BY 4.0, Data \u00a9 OpenStreetMap contributors, ODbL 1.0",
      "osm_type": "way",
      "osm_id": "167321715",
      "lat": "45.7897769",
      "lon": "15.1680662",
      "display_name": "Krka, Novo mesto, Jugovzhodna Slovenija, 8000, Slovenia",
      "address": {
        "suburb": "Krka",
        "town": "Novo mesto",
        "state_district": "Jugovzhodna Slovenija",
        "postcode": "8000",
        "country": "Slovenia",
        "country_code": "si"
      },
      "boundingbox": [
        "45.7858017",
        "45.7927137",
        "15.1640388",
        "15.1725268"
      ]
    }
  }

Notice additional_data field, this data is populated using Location IQ API

FAQ

Why does it take so long to load additional location data?

For reverse geocoding, Location IQ API is used. Free version of that API si rate limited to 1 request per second. That is why additional data loading takes <different_location_count> seconds.

uroshekic/instagram-analyzer