satid_geo_filter.py

geo_json_geometry = {
  "type": "Polygon",
  "coordinates": [
    [
      [
        -120.8551025390625,
        36.6551995018735
      ],
      [
        -120.13549804687501,
        36.6551995018735
      ],
      [
        -120.13549804687501,
        37.081475648860525
      ],
      [
        -120.8551025390625,
        37.081475648860525
      ],
      [
        -120.8551025390625,
        36.6551995018735
      ]
    ]
  ]
}

# filter for items the overlap with our chosen geometry
geometry_filter = {
  "type": "GeometryFilter",
  "field_name": "geometry",
  "config": geo_json_geometry
}


sat_id_filter = {  
  "type":"StringInFilter",
  "field_name":"satellite_id",
  "config":[  
    "0f10", 
    "0f12", 
    "0f17",
    "0f18"
  ]
}

# create a filter that combines our geo and date filters
# could also use an "OrFilter"
satid_geo_filter = {
  "type": "AndFilter",
  "config": [sat_id_filter, geometry_filter]
}

search-by-satid.py

import os
import requests
from requests.auth import HTTPBasicAuth

# our demo filter that filters by geometry, date and cloud cover
import satid_geo_filter

# Search API request object
search_endpoint_request = {
  "item_types": ["PSScene4Band"],
  "filter": satid_geo_filter
}

result = \
  requests.post(
    'https://api.planet.com/data/v1/quick-search',
    auth=HTTPBasicAuth(os.environ['PL_API_KEY'], ''),
    json=search_endpoint_request)

print result.text