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https://github.com/huynhsamha/quick-mongo-atlas-datasets
Quick way to load all sample MongoDB Atlas datasets
https://github.com/huynhsamha/quick-mongo-atlas-datasets
mongo-atlas mongodb-database
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Quick way to load all sample MongoDB Atlas datasets
- Host: GitHub
- URL: https://github.com/huynhsamha/quick-mongo-atlas-datasets
- Owner: huynhsamha
- Archived: true
- Created: 2019-06-12T04:53:07.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2019-06-12T21:15:33.000Z (over 5 years ago)
- Last Synced: 2024-09-23T01:32:21.183Z (about 2 months ago)
- Topics: mongo-atlas, mongodb-database
- Homepage: https://docs.atlas.mongodb.com/sample-data/available-sample-datasets/
- Size: 78 MB
- Stars: 24
- Watchers: 3
- Forks: 15
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# quick-mongo-atlas-datasets
Quick way to load all sample MongoDB Atlas datasets
For available sample datasets in Atlas, please see [here](https://docs.atlas.mongodb.com/sample-data/available-sample-datasets/) for detail.
**Table of contents:**
- [quick-mongo-atlas-datasets](#quick-mongo-atlas-datasets)
- [Quickstart](#quickstart)
- [Available datasets](#available-datasets)
- [Sample AirBnB Listings Dataset](#sample-airbnb-listings-dataset)
- [Collections](#collections)
- [`listingsAndReviews`](#listingsandreviews)
- [Sample Geospatial Dataset](#sample-geospatial-dataset)
- [Collections](#collections-1)
- [`shipwrecks`](#shipwrecks)
- [Sample Mflix Dataset](#sample-mflix-dataset)
- [Collections](#collections-2)
- [`comments`](#comments)
- [`movies`](#movies)
- [`sessions`](#sessions)
- [`theaters`](#theaters)
- [`users`](#users)
- [Sample Supply Store Dataset](#sample-supply-store-dataset)
- [Collections](#collections-3)
- [`sales`](#sales)
- [Sample Weather Dataset](#sample-weather-dataset)
- [Collections](#collections-4)
- [`data`](#data)
- [Sample Training Dataset](#sample-training-dataset)
- [Collections](#collections-5)
- [`companies`](#companies)
- [`grades`](#grades)
- [`inspections`](#inspections)
- [`posts`](#posts)
- [`routes`](#routes)
- [`stories`](#stories)
- [`trips`](#trips)
- [`tweets`](#tweets)
- [`zips`](#zips)
## Quickstart
+ Clone this repository to download all dumped database files:
```bash
git clone https://github.com/huynhsamha/quick-mongo-atlas-datasets.git
cd quick-mongo-atlas-datasets
```
+ Start MongoDB on your localhost or server
```bash
sudo service mongodb start
# or run mongod instance
mongod --port 27017
```
+ Import database `sample_airbnb` to *localhost:27017* with db name `airbnb`
```bash
mongorestore --host localhost --port 27017 --db airbnb --dir ./dump/sample_airbnb
```
Available datasets:
+ sample_airbnb
+ sample_geospatial
+ sample_mflix
+ sample_supplies
+ sample_training
+ sample_weatherdata
## Available datasets
### Sample AirBnB Listings Dataset
Directory: `./dump/sample_airbnb`
The `sample_airbnb` database is a compilation of vacation home listings and reviews
#### Collections
This database contains a single collection called `listingsAndReviews`.
##### `listingsAndReviews`
Sample Document
```json
{
"_id": "10006546",
"listing_url": "https://www.airbnb.com/rooms/10006546",
"name": "Ribeira Charming Duplex",
"summary": "Fantastic duplex apartment with three bedrooms, located in the historic area of Porto, Ribeira (Cube)...",
"interaction": "Cot - 10 € / night Dog - € 7,5 / night",
"house_rules": "Make the house your home...",
"property_type": "House",
"room_type": "Entire home/apt",
"bed_type": "Real Bed",
"minimum_nights": "2",
"maximum_nights": "30",
"cancellation_policy": "moderate",
"last_scraped": {
"$date": {
"$numberLong": "1550293200000"
}
},
"calendar_last_scraped": {
"$date": {
"$numberLong": "1550293200000"
}
},
"first_review": {
"$date": {
"$numberLong": "1451797200000"
}
},
"last_review": {
"$date": {
"$numberLong": "1547960400000"
}
},
"accommodates": {
"$numberInt": "8"
},
"bedrooms": {
"$numberInt": "3"
},
"beds": {
"$numberInt": "5"
},
"number_of_reviews": {
"$numberInt": "51"
},
"bathrooms": {
"$numberDecimal": "1.0"
},
"amenities": [
"TV",
"Cable TV",
...
"Cleaning before checkout",
"Waterfront"
],
"price": {
"$numberDecimal": "80.00"
},
"security_deposit": {
"$numberDecimal": "200.00"
},
"cleaning_fee": {
"$numberDecimal": "35.00"
},
"extra_people": {
"$numberDecimal": "15.00"
},
"guests_included": {
"$numberDecimal": "6"
},
"images": {
"thumbnail_url": "",
"medium_url": "",
"picture_url": "https://a0.muscache.com/im/pictures/e83e702f-ef49-40fb-8fa0-6512d7e26e9b.jpg?aki_policy=large",
"xl_picture_url": ""
},
"host": {
"host_id": "51399391",
"host_url": "https://www.airbnb.com/users/show/51399391",
"host_name": "Ana&Gonçalo",
"host_location": "Porto, Porto District, Portugal",
"host_about": "Gostamos de passear, de viajar, de conhecer pessoas e locais novos, gostamos de desporto e animais! Vivemos na cidade mais linda do mundo!!!",
"host_response_time": "within an hour",
"host_thumbnail_url": "https://a0.muscache.com/im/pictures/fab79f25-2e10-4f0f-9711-663cb69dc7d8.jpg?aki_policy=profile_small",
"host_picture_url": "https://a0.muscache.com/im/pictures/fab79f25-2e10-4f0f-9711-663cb69dc7d8.jpg?aki_policy=profile_x_medium",
"host_neighbourhood": "",
"host_response_rate": {
"$numberInt": "100"
},
"host_is_superhost": false,
"host_has_profile_pic": true,
"host_identity_verified": true,
"host_listings_count": {
"$numberInt": "3"
},
"host_total_listings_count": {
"$numberInt": "3"
},
"host_verifications": [
"email",
"phone",
"reviews",
"jumio",
"offline_government_id",
"government_id"
]
},
"address": {
"street": "Porto, Porto, Portugal",
"suburb": "",
"government_area": "Cedofeita, Ildefonso, Sé, Miragaia, Nicolau, Vitória",
"market": "Porto",
"country": "Portugal",
"country_code": "PT",
"location": {
"type": "Point",
"coordinates": [
{
"$numberDouble": "-8.61308"
},
{
"$numberDouble": "41.1413"
}
],
"is_location_exact": false
}
},
"availability": {
"availability_30": {
"$numberInt": "28"
},
"availability_60": {
"$numberInt": "47"
},
"availability_90": {
"$numberInt": "74"
},
"availability_365": {
"$numberInt": "239"
}
},
"review_scores": {
"review_scores_accuracy": {
"$numberInt": "9"
},
"review_scores_cleanliness": {
"$numberInt": "9"
},
"review_scores_checkin": {
"$numberInt": "10"
},
"review_scores_communication": {
"$numberInt": "10"
},
"review_scores_location": {
"$numberInt": "10"
},
"review_scores_value": {
"$numberInt": "9"
},
"review_scores_rating": {
"$numberInt": "89"
}
},
"reviews": [
{
"_id": "362865132",
"date": {
"$date": {
"$numberLong": "1545886800000"
}
},
"listing_id": "10006546",
"reviewer_id": "208880077",
"reviewer_name": "Thomas",
"comments": "Very helpful hosts. Cooked traditional..."
},
{
"_id": "364728730",
"date": {
"$date": {
"$numberLong": "1546232400000"
}
},
"listing_id": "10006546",
"reviewer_id": "91827533",
"reviewer_name": "Mr",
"comments": "Ana & Goncalo were great on communication..."
},
{
"_id": "403055315",
"date": {
"$date": {
"$numberLong": "1547960400000"
}
},
"listing_id": "10006546",
"reviewer_id": "15138940",
"reviewer_name": "Milo",
"comments": "The house was extremely well located..."
}
]
}
```
### Sample Geospatial Dataset
Directory: `./dump/sample_geospatial`
The `sample_geospatial` database contains data specifically designed to help familiarize you with GeoJSON data.
#### Collections
This database contains a single collection called `shipwrecks`.
##### `shipwrecks`
Sample Document
```json
{
"_id": {
"$oid": "578f6fa2df35c7fbdbaed8c6"
},
"recrd": "",
"vesslterms": "",
"feature_type": "Wrecks - Submerged, dangerous",
"chart": "US,U1,graph,DNC H1409860",
"latdec": {
"$numberDouble": "9.3560572"
},
"londec": {
"$numberDouble": "-79.9074173"
},
"gp_quality": "",
"depth": "",
"sounding_type": "",
"history": "",
"quasou": "depth unknown",
"watlev": "always under water/submerged",
"coordinates": [
{
"$numberDouble": "-79.9074173"
},
{
"$numberDouble": "9.3560572"
}
]
}
```
### Sample Mflix Dataset
Directory: `./dump/sample_mflix`
The `sample_mflix` database contains data on movies and movie theaters. The database also contains collections for certain metadata, including users and comments on specific movies.
#### Collections
The sample_mflix database contains the following collections:
| Collection Name | Description |
| --------------- | -------------------------------------------------------------------------- |
| **comments** | Contains comments associated with specific movies. |
| **movies** | Contains movie information, including release year, director, and reviews. |
| **sessions** | Metadata field. Contains users’ JSON Web Tokens. |
| **theaters** | Contains locations of movie theaters. |
| **users** | Contains user information. |
##### `comments`
Sample Document
```json
{
"_id": {
"$oid": "5a9427648b0beebeb69579cc"
},
"name": "Andrea Le",
"email": "[email protected]",
"movie_id": {
"$oid": "573a1390f29313caabcd418c"
},
"text": "Rem officiis eaque repellendus amet eos doloribus. Porro
dolor voluptatum voluptates neque culpa molestias. Voluptate unde
nulla temporibus ullam.",
"date": {
"$date": {
"$numberLong": "1332804016000"
}
}
}
```
##### `movies`
Sample Document
```json
{
"_id": {
"$oid": "573a1390f29313caabcd413b"
},
"title": "The Arrival of a Train",
"year": {
"$numberInt": "1896"
},
"runtime": {
"$numberInt": "1"
},
"released": {
"$date": {
"$numberLong": "-2335219200000"
}
},
"poster": "http://ia.media-imdb.com/images/M/MV5BMjEyNDk5MDYzOV5BMl5BanBnXkFtZTgwNjIxMTEwMzE@._V1_SX300.jpg",
"plot": "A group of people are standing in a straight line along the
platform of a railway station, waiting for a train, which is seen
coming at some distance. When the train stops at the platform, ...",
"fullplot": "A group of people are standing in a straight line along
the platform of a railway station, waiting for a train, which is
seen coming at some distance. When the train stops at the platform,
the line dissolves. The doors of the railway-cars open, and people
on the platform help passengers to get off.",
"lastupdated": "2015-08-15 00:02:53.443000000",
"type": "movie",
"directors": [
"Auguste Lumière",
"Louis Lumière"
],
"imdb": {
"rating": {
"$numberDouble": "7.3"
},
"votes": {
"$numberInt": "5043"
},
"id": {
"$numberInt": "12"
}
},
"countries": [
"France"
],
"genres": [
"Documentary",
"Short"
],
"tomatoes": {
"viewer": {
"rating": {
"$numberDouble": "3.7"
},
"numReviews": {
"$numberInt": "59"
}
},
"lastUpdated": {
"$date": {
"$numberLong": "1441993589000"
}
}
},
"num_mflix_comments": {
"$numberInt": "1"
}
}
```
##### `sessions`
Sample Document
```json
{
"_id": {
"$oid": "5a98348755593fdf68350932"
},
"user_id": "[email protected]",
"jwt": "eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9..."
}
```
##### `theaters`
Sample Document
```json
{
"_id": {
"$oid": "59a47286cfa9a3a73e51e72c"
},
"theaterId": {
"$numberInt": "1000"
},
"location": {
"address": {
"street1": "340 W Market",
"city": "Bloomington",
"state": "MN",
"zipcode": "55425"
},
"geo": {
"type": "Point",
"coordinates": [
{
"$numberDouble": "-93.24565"
},
{
"$numberDouble": "44.85466"
}
]
}
}
}
```
##### `users`
Sample Document
```json
{
"_id": {
"$oid": "59b99db4cfa9a34dcd7885b6"
},
"name": "Ned Stark",
"email": "[email protected]",
"password": "$2b$12$UREFwsRUoyF0CRqGNK0LzO0HM/jLhgUCNNIJ9RJAqMUQ74crlJ1Vu"
}
```
### Sample Supply Store Dataset
Directory: `./dump/sample_supplies`
The `sample_supplies` database contains data from a mock office supply company. The company tracks customer information and sales data, and has several store locations throughout the world.
#### Collections
This database contains a single collection called `sales`.
##### `sales`
Sample Document
```json
{
"_id": {
"$oid": "5bd761dcae323e45a93ccfe8"
},
"saleDate": {
"$date": {
"$numberLong": "1427144809506"
}
},
"items": [
{
"name": "notepad",
"tags": [
"office",
"writing",
"school"
],
"price": {
"$numberDecimal": "35.29"
},
"quantity": {
"$numberInt": "2"
}
},
{
"name": "pens",
"tags": [
"writing",
"office",
"school",
"stationary"
],
"price": {
"$numberDecimal": "56.12"
},
"quantity": {
"$numberInt": "5"
}
},
{
"name": "envelopes",
"tags": [
"stationary",
"office",
"general"
],
"price": {
"$numberDecimal": "19.95"
},
"quantity": {
"$numberInt": "8"
}
},
{
"name": "binder",
"tags": [
"school",
"general",
"organization"
],
"price": {
"$numberDecimal": "14.16"
},
"quantity": {
"$numberInt": "3"
}
}
],
"storeLocation": "Denver",
"customer": {
"gender": "M",
"age": {
"$numberInt": "42"
},
"email": "[email protected]",
"satisfaction": {
"$numberInt": "4"
}
},
"couponUsed": true,
"purchaseMethod": "Online"
}
```
### Sample Weather Dataset
Directory: `./dump/sample_weatherdata`
The `sample_weatherdata` database contains detailed weather reports from various locations. Each report contains readings such as airTemperature, wind, and visibility. Each report contains a location which is stored as GeoJSON.
#### Collections
This database contains a single collection called `data`.
##### `data`
Sample Document
```json
{
"_id": {
"$oid": "5553a998e4b02cf7151190c9"
},
"st": "x+51900+003200",
"ts": {
"$date": {
"$numberLong": "447354000000"
}
},
"position": {
"type": "Point",
"coordinates": [
{
"$numberDouble": "3.2"
},
{
"$numberDouble": "51.9"
}
]
},
"elevation": {
"$numberInt": "9999"
},
"callLetters": "PLAT",
"qualityControlProcess": "V020",
"dataSource": "4",
"type": "FM-13",
"airTemperature": {
"value": {
"$numberDouble": "4.8"
},
"quality": "1"
},
"dewPoint": {
"value": {
"$numberDouble": "4.6"
},
"quality": "1"
},
"pressure": {
"value": {
"$numberDouble": "1032.6"
},
"quality": "1"
},
"wind": {
"direction": {
"angle": {
"$numberInt": "170"
},
"quality": "1"
},
"type": "N",
"speed": {
"rate": {
"$numberDouble": "0.5"
},
"quality": "1"
}
},
"visibility": {
"distance": {
"value": {
"$numberInt": "999999"
},
"quality": "9"
},
"variability": {
"value": "N",
"quality": "9"
}
},
"skyCondition": {
"ceilingHeight": {
"value": {
"$numberInt": "99999"
},
"quality": "9",
"determination": "9"
},
"cavok": "N"
},
"sections": [
"AG1",
"MD1",
"OA1",
"SA1"
],
"precipitationEstimatedObservation": {
"discrepancy": "2",
"estimatedWaterDepth": {
"$numberInt": "999"
}
},
"atmosphericPressureChange": {
"tendency": {
"code": "2",
"quality": "1"
},
"quantity3Hours": {
"value": {
"$numberDouble": "1.2"
},
"quality": "1"
},
"quantity24Hours": {
"value": {
"$numberDouble": "99.9"
},
"quality": "9"
}
},
"seaSurfaceTemperature": {
"value": {
"$numberDouble": "5.5"
},
"quality": "9"
}
}
```
### Sample Training Dataset
Directory: `./dump/sample_training`
The `sample_training` database contains a set of realistic data.
#### Collections
The `sample_training` database contains the following collections:
| Collection Name | Description |
| --------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| companies | Contains a list of Crunchbase Data company information. |
| grades | Contains student grade information on a given class, including scores on different assessments. |
| inspections | Contains a list of New York City business inspections, including whether the business failed or passed the inspection. |
| posts | Contains randomized US Senate speeches organized as blog posts with randomly generated comments. |
| routes | Contains information of airline routes, with source and destination airports, the service airline and the type of airplane. This collection is used in labs that explore the $graphLookup aggregation stage. |
| stories | Contains Digg stories, a website for sharing and commenting on online content. |
| trips | Contains New York City Citibike Data trips data. This data is useful to explore the $graphLookup aggregation stage and showcase Geospatial Queries. |
| tweets | Contains tweet data from Twitter Decahose stream service. |
| zips | Contains United States general cities postal/zip code data. |
##### `companies`
Sample Document
```json
{
"_id": {
"$oid": "52cdef7c4bab8bd675298291"
},
"acquisition": null,
"acquisitions": [],
"alias_list": null,
"blog_feed_url": "http://mobiance.wordpress.com/feed/",
"blog_url": "http://mobiance.wordpress.com/",
"category_code": "web",
"competitions": [],
"created_at": "Tue Feb 12 17:31:58 UTC 2008",
"crunchbase_url": "http://www.crunchbase.com/company/mobiance",
"deadpooled_day": null,
"deadpooled_month": null,
"deadpooled_url": null,
"deadpooled_year": null,
"description": null,
"email_address": "[email protected]",
"external_links": [],
"founded_day": {
"$numberInt": "1"
},
"founded_month": {
"$numberInt": "10"
},
"founded_year": {
"$numberInt": "2004"
},
"funding_rounds": [],
"homepage_url": "http://www.mobiance.com",
"image": {
"attribution": null,
"available_sizes": [
[
[
{
"$numberInt": "150"
},
{
"$numberInt": "43"
}
],
"assets/images/resized/0001/1859/11859v1-max-150x150.png"
],
[
[
{
"$numberInt": "208"
},
{
"$numberInt": "60"
}
],
"assets/images/resized/0001/1859/11859v1-max-250x250.png"
],
[
[
{
"$numberInt": "208"
},
{
"$numberInt": "60"
}
],
"assets/images/resized/0001/1859/11859v1-max-450x450.png"
]
]
},
"investments": [],
"ipo": null,
"milestones": [],
"name": "Mobiance",
"number_of_employees": {
"$numberInt": "5"
},
"offices": [
{
"address1": "BC-3, Atrium Business Center,",
"address2": "Coles Road, Frazer Town,",
"city": "Bangalore",
"country_code": "IND",
"description": null,
"latitude": null,
"longitude": null,
"state_code": null,
"zip_code": "560005"
}
],
"overview": "
Mobiance provides the technology to track cell phones ...",
"partners": [],
"permalink": "mobiance",
"phone_number": "+91-80- 41264756",
"products": [],
"providerships": [],
"relationships": [
{
"is_past": true,
"person": {
"first_name": "Ritesh",
"last_name": "Ambastha",
"permalink": "ritesh-ambastha"
},
"title": "Product Manager"
}
],
"screenshots": [],
"tag_list": null,
"total_money_raised": "$0",
"twitter_username": null,
"updated_at": "Thu Dec 01 07:37:10 UTC 2011",
"video_embeds": []
}
```
##### `grades`
Sample Document
```json
{
"_id": {
"$oid": "56d5f7eb604eb380b0d8d8fa"
},
"class_id": {
"$numberDouble": "173"
},
"scores": [
{
"score": {
"$numberDouble": "19.81430597438296"
},
"type": "exam"
},
{
"score": {
"$numberDouble": "16.851404299968642"
},
"type": "quiz"
},
{
"score": {
"$numberDouble": "60.108751761488186"
},
"type": "homework"
},
{
"score": {
"$numberDouble": "22.886167083915776"
},
"type": "homework"
}
],
"student_id": {
"$numberDouble": "4"
}
}
```
##### `inspections`
Sample Document
```json
{
"_id": {
"$oid": "56d61033a378eccde8a8357e"
},
"address": {
"city": "LAWRENCE",
"number": 1,
"street": "BAY BLVD",
"zip": 11559
},
"business_name": "SPRAGUE OPERATING RESOURCES LLC.",
"certificate_number": 3019422,
"date": "Mar 3 2015",
"id": "11247-2015-ENFO",
"result": "Fail",
"sector": "Fuel Oil Dealer - 814"
}
```
##### `posts`
Sample Document
```json
{
"_id": {
"$oid": "50ab0f8bbcf1bfe2536dc3f9"
},
"author": "machine",
"body": "Amendment I\n
Congress shall make no law respecting ... ",
"comments": [
{
"author": "Santiago Dollins",
"body": "Lorem ipsum dolor sit amet, consectetur adipisicing...",
"email": "[email protected]"
},
{
"author": "Jaclyn Morado",
"body": "Lorem ipsum dolor sit amet, consectetur adipisicing...",
"email": "[email protected]"
}
...
],
"date": {
"$date": {
"$numberLong": "1332804016000"
}
},
"permalink": "aRjNnLZkJkTyspAIoRGe",
"tags": [
"watchmaker",
"santa",
"xylophone",
"math",
"handsaw",
"dream",
"undershirt",
"dolphin",
"tanker",
"action"
],
"title": "Bill of Rights"
}
```
##### `routes`
Sample Document
```json
{
"_id": {
"$oid": "56e9b39b732b6122f877fa5c"
},
"airline": {
"alias": "2G",
"iata": "CRG",
"id": 1654,
"name": "Cargoitalia"
},
"airplane": "A81",
"codeshare": "",
"dst_airport": "OVB",
"src_airport": "BTK",
"stops": 0
}
```
##### `stories`
Sample Document
```json
{
"_id": {
"$oid": "4ba2681f238d3ba3ca000065"
},
"comments": 79,
"container": {
"name": "Science",
"short_name": "science"
},
"description": "Today's youth are generally not the self-centered,...",
"diggs": 493,
"href": "http://digg.com/general_sciences/Study_Today_s_youth_a...",
"id": "19955283",
"link": "http://www.brainmysteries.com/research/Study_Todays_yo...",
"media": "news",
"promote_date": 1268866803,
"shorturl": [
{
"short_url": "http://digg.com/d31LjHP",
"view_count": 2109
}
],
"status": "popular",
"submit_date": 1268725903,
"thumbnail": {
"contentType": "image/jpeg",
"height": 80,
"originalheight": 232,
"originalwidth": 350,
"src": "http://digg.com/general_sciences/Study_Today_s_youth_...",
"width": 80
},
"title": "Study: Today's youth aren't ego-driven slackers after all ",
"topic": {
"name": "General Sciences",
"short_name": "general_sciences"
},
"user": {
"icon": "http://digg.com/users/lekahe/l.png",
"name": "lekahe",
"profileviews": 63011,
"registered": 1187263066
}
}
```
##### `trips`
Sample Document
```json
{
"_id": {
"$oid": "572bb8222b288919b68abf82"
},
"bikeid": 14785,
"birth year": 1977,
"end station id": 433,
"end station location": {
"coordinates": [
-73.98057249,
40.72955361
],
"type": "Point"
},
"end station name": "E 13 St & Avenue A",
"gender": 1,
"start station id": 518,
"start station location": {
"coordinates": [
-73.9734419,
40.74780373
],
"type": "Point"
},
"start station name": "E 39 St & 2 Ave",
"start time": {
"$date": {
"$numberLong": "1332804016000"
}
},
"stop time": {
"$date": {
"$numberLong": "1352114016000"
}
},
"tripduration": 812,
"usertype": "Subscriber"
}
```
##### `tweets`
Sample Document
```json
{
"_id": {
"$oid": "5c8eccb0caa187d17ca62433"
},
"contributors": null,
"coordinates": null,
"created_at": "Thu Sep 02 18:11:30 +0000 2010",
"entities": {
"hashtags": [
{
"indices": [
0,
16
],
"text": "IEGreekStepShow"
}
],
"urls": [],
"user_mentions": []
},
"favorited": false,
"geo": null,
"id": "22819404700",
"in_reply_to_screen_name": null,
"in_reply_to_status_id": null,
"in_reply_to_user_id": null,
"place": null,
"retweet_count": null,
"retweeted": false,
"source": "