Skip to main content

Finds Instagram location IDs near a specified latitude and longitude.

Project description

Instagram Location Search

PyPI version

Installation

This Python application can be installed from PyPI using pip: pip install instagram-location-search

or the latest from the repo: pip install git+https://github.com/bellingcat/instagram-location-search

Example usage

The following command will search for Instagram locations nearby the coordinates 32.22 N, 110.97 W (downtown Tucson, Arizona.) The list of locations is saved as a CSV file at "locs.csv".

instagram-location-search --cookie "<instagram-cookies>" --lat 32.22 --lng -110.97 --csv locs.csv

Note that this requires Instagram cookies in order to work! See below for how to obtain one from your account.

Other output formats

Using the --json <output-location> command line argument, the list can be saved as a JSON file, almost identical to the raw API response.

Using the --geojson <output-location> command line argument, the list can be saved as a GeoJSON file for other geospatial applications.

Using the --ids <output-location> command line argument, all the found location IDs are output, suitable to pass into another tool, like instagram-scraper.

Using the --map <output-location> command line argument, a simple Leaflet map is made to visualize the locations of the returned points.

Example of map visualization

Multiple types of output can be generated. For example, the following command will search for Instagram locations, save the JSON list, a CSV file, and a map for viewing the locations visually.

instagram-location-search --cookie "<instagram-cookie>" --lat 32.22 --lng -110.97 --json locs.json --csv locs.csv --map map.html

Sample Usage with instagram-scraper

The ID list generated with the --ids flag can be passed into instagram-scraper to pull down image metadata.

:rotating_light: Undocumented API :rotating_light:

instagram-scraper relies on an undocumented API for the mobile apps. YMMV.

First, get the proximal location IDs of your target location:

instagram-location-search --cookies "<instagram-cookie>" --lat <lat> --lng <lng> --ids location_ids.txt

Be sure to install instagram-scraper:

pip install instagram-scraper

Location scraping requires an authenticated request. Save your creds in a local file:

echo "-u=<your username>" >> creds.txt
echo "-p=<your password>" >> creds.txt

Now use instagram-scraper to pull down all the photos at those locations:

instagram-scraper @creds.txt --filename @location_ids.txt --location --include-location --destination <output dir>

Getting Instagram cookies

Improved Tool Usage Process

The updated process allows you to obtain cookies through a pop-up browser window. To use this new flow, simply omit the --cookie parameter when running the command.

Important: An Instagram session ID should be treated like a password, as it provides full access to your Instagram account. Using this session ID in multiple places or on multiple computers may cause Instagram to invalidate all session IDs. Using this session ID for any purpose other than the official Instagram website or application may violate the Instagram Terms of Service and could lead to account suspension.

Follow these steps to use the improved tool usage process:

  1. Run the command without the --cookie parameter.
  2. In the opened Google Chrome instance, create a new profile. Creating a new profile
  3. Click "Continue without email". Continue without email
  4. Enter a name for the profile you'd like to link to instagram account, and click "Done". Creating an account
  5. Select "Only allow essential cookies". Only allow essential cookies
  6. Log in to your Instagram account. The browser will close automatically shortly afterward. Log in to Instagram

Once you've completed the initial setup, you can simply click on the created profile in subsequent runs to use the associated Instagram account.

Old flow

This now requires the entire cookie string, in the format of an HTTP request header. Details TK.

Important: an Instagram session ID should be treated like a password — it provides full access to the Instagram account. Using this session ID in multiple places or on multiple computers may trigger Instagram to invalidate all session IDs. Using this session ID for any purpose other than the official Instagram website or application may be a violation of the Instagram Terms of Service and could lead to account suspension.

  1. In Google Chrome, log-in to Instagram.

  2. Right click on the page and press "Inspect" to bring up the Chrome Developer Tools.

  3. Click the "Application" tab in the Developer Tools Box.

  4. Under "Cookies" select "https://www.instagram.com." Finding the Instagram cookie

  5. Right click on any item and click "Show Requests With This Cookie".

  6. Click on any request. In the "Headers" tab, scroll down to "Request Headers".

Finding the full cookie string

  1. Copy all text after "cookie: ". This is your cookie string. Replace <instagram-cookies> with this value when running instagram-location-search.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

instagram-location-search-1.3.1.tar.gz (8.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

instagram_location_search-1.3.1-py3-none-any.whl (9.1 kB view details)

Uploaded Python 3

File details

Details for the file instagram-location-search-1.3.1.tar.gz.

File metadata

File hashes

Hashes for instagram-location-search-1.3.1.tar.gz
Algorithm Hash digest
SHA256 5f1dbbc1e25e168fa86118ce3771d66239439333ff5ae0127042c2f00e7baaec
MD5 a0551f83c438cdd8719ff3e7e0fd03e4
BLAKE2b-256 ec32a6fb3dfe5b0fad54a7e9368edbfe865b5cceffcbcf9d1d20557f966282aa

See more details on using hashes here.

File details

Details for the file instagram_location_search-1.3.1-py3-none-any.whl.

File metadata

File hashes

Hashes for instagram_location_search-1.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 461e328569fcc3d634a147ebdce3cf851c4301b39f4502c08a79dac757a23352
MD5 08f1d899f0973dfea590f26181c7a426
BLAKE2b-256 e065f236408b9c1d84027fba599817a463058a49ccc86cbb924ad4b991d65c37

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page