Hey there, fellow JavaScript wizards! Ready to dive into the world of Google Search Console API? Let's get our hands dirty with some data syncing magic for user-facing integrations. Buckle up!
Alright, I know you've been around the block, so we'll keep this quick. Head over to the Google Cloud Console, create a new project (or use an existing one), and enable the Search Console API. Grab your OAuth 2.0 credentials – you'll need 'em soon.
Time to implement that OAuth 2.0 flow. Here's a quick snippet to get you started:
const {google} = require('googleapis'); const oauth2Client = new google.auth.OAuth2( YOUR_CLIENT_ID, YOUR_CLIENT_SECRET, YOUR_REDIRECT_URL ); // Generate a url that asks permissions for Search Console scopes const scopes = ['https://www.googleapis.com/auth/webmasters']; const url = oauth2Client.generateAuthUrl({ access_type: 'offline', scope: scopes, }); // Handle the OAuth 2.0 server response function handleCallback(code) { oauth2Client.getToken(code, (err, token) => { if (err) return console.error('Error retrieving access token', err); oauth2Client.setCredentials(token); // Store the token for future use }); }
Let's fetch some juicy search analytics data. Here's how you can grab those top queries:
const searchconsole = google.searchconsole({version: 'v1', auth: oauth2Client}); async function getTopQueries() { try { const res = await searchconsole.searchanalytics.query({ siteUrl: 'https://www.example.com/', requestBody: { startDate: '2023-01-01', endDate: '2023-12-31', dimensions: ['query'], rowLimit: 10 } }); console.log(res.data.rows); } catch (err) { console.error('The API returned an error:', err); } }
Time to submit some URLs for indexing. Check out this batch submission example:
async function submitUrls() { try { const res = await searchconsole.urlNotifications.submit({ siteUrl: 'https://www.example.com/', requestBody: { url: 'https://www.example.com/new-page', type: 'URL_UPDATED' } }); console.log('URL submitted:', res.data); } catch (err) { console.error('Error submitting URL:', err); } }
For user-facing integrations, we need to keep that data in sync. Here's a nifty incremental sync strategy:
async function incrementalSync(lastSyncDate) { const today = new Date().toISOString().split('T')[0]; try { const res = await searchconsole.searchanalytics.query({ siteUrl: 'https://www.example.com/', requestBody: { startDate: lastSyncDate, endDate: today, dimensions: ['query', 'page'], rowLimit: 25000 // Max allowed } }); // Process and store the new data updateLastSyncDate(today); } catch (err) { console.error('Sync error:', err); } }
APIs can be finicky. Let's implement a retry mechanism to handle those pesky errors:
async function retryableRequest(requestFn, maxRetries = 3) { for (let i = 0; i < maxRetries; i++) { try { return await requestFn(); } catch (err) { if (i === maxRetries - 1) throw err; await new Promise(resolve => setTimeout(resolve, 1000 * Math.pow(2, i))); } } }
Let's turbocharge our requests with some parallel magic:
async function parallelRequests(urls) { const promises = urls.map(url => searchconsole.urlNotifications.submit({ siteUrl: 'https://www.example.com/', requestBody: { url, type: 'URL_UPDATED' } }) ); return Promise.all(promises); }
And there you have it, folks! You're now armed with the knowledge to wrangle the Google Search Console API like a pro. Remember, with great power comes great responsibility – use these skills wisely and keep your users' data synced and happy.
Now go forth and code! And if you need more info, the official docs are your new best friend. Happy coding!