The service that provides it, ThingLink, is free. Remember when Twitter was simple? And text only? We’re long past that and starting this week, you can make a photo on Twitter interactive by adding embedded movies (YouTube), sound clips (Soundcloud), social links (FB, Twitter, etc.), a map (Google Maps) or a slideshow (Slideshare). Twitter Photos Can Now Have Hidden Movies and More Predictably, not everyone is happy, but brands continue to host Instagram photo promotions, like this one about Alfred Hitchcock, as the network is quite popular. As you can see the “cover photo” is a dynamic montage of the pictures you’ve taken. That’s changed now with the addition of profile pages. Instagram Moves from Mobile Only by Adding Web Profilesīefore this week, there was no way to view all the pictures a particular user took on Instagram, the hugely popular photo sharing app purchased by Facebook for $1b. But we never forget that we’re nothing without you letting us work with you and do innovative, successful work. We’re in some good company, so our team is proud. I don’t write much about us as an agency, but I am proud of the fact that we’ve been named one of the Top Ten Social Media Agencies in the World by a group out of Ireland. Ten Best Social Media Agencies in the World Go.Anyone else have a hectic week! If you did, you might have missed some highlights from the social media world, so here’s my weekly recap. Trace = go.Bar(x=df.Link, y=df.LikesCount, name='Link')Īpp.layout = html.Div(children=[html.H1("CData Extension + Dash", style=), The next step is to create a bar graph based on our Instagram data and configure the app layout. With the query results stored in a DataFrame, we can begin configuring the web app, assigning a name, stylesheet, and title.Īpp = dash.Dash(_name_, external_stylesheets=external_stylesheets)Īpp.title = 'CData + Dash' Configure the Layout Use the read_sql function from pandas to execute any SQL statement and store the result set in a DataFrame.ĭf = pd.read_sql("SELECT Link, LikesCount FROM Media WHERE TagName = 'goldfish'", cnxn)
Use the connect function for the CData Instagram Connector to create a connection for working with Instagram data.Ĭnxn = mod.connect("OAuthClientId=MyOAuthClientId OAuthClientSecret=MyOAuthClientSecret CallbackURL= Execute SQL to Instagram You can now connect with a connection string. Detailed guide on installing an Instagram plugin to Web.com in just 1. Code snippets follow, but the full source code is available at the end of the article.įirst, be sure to import the modules (including the CData Connector) with the following: import os How to add instagram feed plugin to Web.com website with Elfsight Apps cloud service. Once the required modules and frameworks are installed, we are ready to build our web app. Pip install dash-daq Visualize Instagram Data in Python Use the pip utility to install the required modules and frameworks: pip install pandas See the help documentation for a guide.Īfter installing the CData Instagram Connector, follow the procedure below to install the other required modules and start accessing Instagram through Python objects. You will need to obtain the OAuthClientId, OAuthClientSecret, and CallbackURL by registering an app with Instagram. Instagram uses the OAuth 2 authentication standard. For this article, you will pass the connection string as a parameter to the create_engine function. Create a connection string using the required connection properties. These updates completely change the character and nature of Instagram advertising, Debra Aho Williamson, principal analyst at eMarketer, recently told Social. When you issue complex SQL queries from Instagram, the driver pushes supported SQL operations, like filters and aggregations, directly to Instagram and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).Ĭonnecting to Instagram data looks just like connecting to any relational data source. With built-in, optimized data processing, the CData Python Connector offers unmatched performance for interacting with live Instagram data in Python. This article shows how to connect to Instagram with the CData Connector and use pandas and Dash to build a simple web app for visualizing Instagram data. With the CData Python Connector for Instagram, the pandas module, and the Dash framework, you can build Instagram-connected web applications for Instagram data. The rich ecosystem of Python modules lets you get to work quickly and integrate your systems more effectively.
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