- Recipes
- HubSpot contacts to Amazon S3 CSV file
Connect HubSpot contacts and Amazon S3 CSV file in our serverless environment
Use this template to Get HubSpot contacts using them to create CSV file entries in Amazon S3 Bucket.
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Get HubSpot contacts
Used integrations:
- JavaScript 
- Python 
class HttpSourceHubspotContactsSearch {
    async init() {
        // More info at https://www.npmjs.com/package/axios
        // TODO: Create team variables. More info at https://yepcode.io/docs/processes/team-variables
        // TODO: Add your http credential with hubspot information:
        this.httpClient = axios.create({
            baseURL: "https://api.hubapi.com",
            headers: {
                authorization: `Bearer ${yepcode.env.HUBSPOT_ACCESS_TOKEN}`,
            },
        });
    }
    async fetch(publish, done) {
        // TODO: Customize your filter
        // More info at: https://developers.hubspot.com/docs/api/crm/search#filter-search-results
        const filter = {
            propertyName: "createdate",
            operator: "GTE",
            value: Date.now() - 90 * 24 * 60 * 60 * 1000, // last 90 days
        };
        const filterGroup = {
            filters: [filter]
        };
        // TODO: Customize your sort
        // More info at: https://developers.hubspot.com/docs/api/crm/search#sort-search-results
        const sort = JSON.stringify({
            propertyName: "createdate",
            direction: "DESCENDING",
        });
        // TODO: Customize your query and properties
        const query = "your query filter";
        const properties = ["email", "firstname", "lastname", "company", "phone"];
        const limit = 10;
        const after = 0;
        // You can check the endpoint doc here, selecting the 'ENDPOINTS' tab at the top of the page
        // https://developers.hubspot.com/docs/api/crm/contacts
        const response = await this.httpClient.post(
            `/crm/v3/objects/contacts/search`, {
                filterGroups: [filterGroup],
                sorts: [sort],
                query,
                properties,
                limit,
                after,
            }
        );
        const {
            results
        } = response.data;
        for (const contact of results) {
            await publish(contact.properties);
        }
        done();
    }
    async close() {}
}
import json
import requests
from urllib.parse import urljoin
class HttpSourceHubspotContactsSearch:
    def setup(self):
        # More info at https://pypi.org/project/requests/
        # TODO: Create team variables. More info at https://yepcode.io/docs/processes/team-variables
        # baseUrl: https://api.hubapi.com
        # HTTP Headers: { "authorization": "Bearer YOUR_ACCESS_TOKEN" }
        self.base_url = "https://api.hubapi.com"
        self.session = requests.Session()
        self.session.headers.update({
            'Accept': 'application/json',
            'Content-Type': 'application/json',
            'authorization': f'Bearer {yepcode.env.HUBSPOT_API_KEY}'
        })
    def generator(self):
        # TODO: Customize your filter
        timestamp_90_days_ago = int((datetime.now() - timedelta(days=90)).timestamp() * 1000)
        filter_group = {
            "filters": [
                {
                    "propertyName": "createdate",
                    "operator": "GTE",
                    "value": timestamp_90_days_ago
                }
            ]
        }
        # TODO: Customize your sort
        sort = json.dumps({
            "propertyName": "createdate",
            "direction": "DESCENDING"
        })
        # TODO: Customize your query and properties
        query = "your query filter"
        properties = ["email", "firstname", "lastname", "company", "phone"]
        limit = 10
        after = 0
        response = self.session.post(
            urljoin(self.base_url, "/crm/v3/objects/contacts/search"),
            headers=self.headers,
            json={
                "filterGroups": [filter_group],
                "sorts": [sort],
                "query": query,
                "properties": properties,
                "limit": limit,
                "after": after
            }
        )
        response.raise_for_status()
        results = response.json().get('results', [])
        for contact in results:
            yield contact.get('properties')
    def close(self):
        pass
Do you need help solving this integration with YepCode?
Let's talkCreate CSV file entries in Amazon S3 Bucket
Used integrations:
- JavaScript 
- Python 
class AwsS3TargetUploadCsv {
    async init() {
        // More info at https://www.npmjs.com/package/@aws-sdk/client-s3
        // TODO: Create team variables. More info at https://yepcode.io/docs/processes/team-variables
        this.awsS3 = new S3Client({
            region: yepcode.env.AWS_REGION,
            credentials: {
                accessKeyId: yepcode.env.AWS_ACCESS_KEY_ID,
                secretAccessKey: yepcode.env.AWS_SECRET_ACCESS_KEY,
            },
        });
        // Transforms the items into a csv format
        this.stringifier = csv.stringify({
            delimiter: ",",
        });
        this.targetStream = new PassThrough();
        this.stringifier.pipe(this.targetStream);
        // TODO: customize the Upload content
        // More info at: https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/interfaces/_aws_sdk_lib_storage.options-1.html
        this.upload = new Upload({
            client: this.awsS3,
            params: {
                Bucket: "your-bucket-name",
                Key: "your-file-name.csv",
                Body: this.targetStream,
            },
        });
        this.upload.on("httpUploadProgress", (progress) => {
            console.log(`Upload progress`, progress);
        });
        this.uploadPromise = this.upload.done();
    }
    async consume(item) {
        // TODO: customize the csv row to create from your item content
        const csvRow = [item.value, item.text];
        this.stringifier.write(csvRow);
    }
    async close() {
        try {
            this.stringifier.end();
        } catch (error) {
            console.error(`Error ending stringifier`, error);
        }
        try {
            await this.uploadPromise;
        } catch (error) {
            console.error(`Error ending upload`, error);
        }
    }
}
import csv
import io
import boto3
class AccumulatingStream:
    def __init__(self):
        self.data = io.BytesIO()
    def write(self, item):
        self.data.write(item.encode("utf-8"))
    def get_stream(self):
        self.data.seek(0)
        return self.data
class AwsS3TargetUploadCsv:
    def setup(self):
        # More info at https://boto3.amazonaws.com/v1/documentation/api/latest/index.html
        # TODO: Create team variables. More info at https://yepcode.io/docs/processes/team-variables
        self.aws_s3_client = boto3.client(
            's3',
            aws_access_key_id=yepcode.env.AWS_ACCESS_KEY_ID,
            aws_secret_access_key=yepcode.env.AWS_SECRET_ACCESS_KEY,
            region_name=yepcode.env.AWS_REGION
        )
        self.acc_stream = AccumulatingStream()
        self.stringifier = csv.writer(self.acc_stream, delimiter=",")
    def consume(self, generator, done):
        for item in generator:
            # TODO: customize the csv row to create from your item content
            csv_row = [item["value"], item["text"]]
            self.stringifier.writerow(csv_row)
        done()
    def close(self):
        # TODO: customize the bucket name and object key
        try:
            self.aws_s3_client.upload_fileobj(
                self.acc_stream.get_stream(),
                "bucket-name",
                "path/to/object.csv",
            )
        except Exception as error:
            print(f"Error uploading object: {error}")
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