- Recipes
- Apollo.io contacts to Elasticsearch
Connect Apollo.io contacts and Elasticsearch in our serverless environment
Use this template to Search for contacts using Apollo.io API using them to insert rows into Elasticsearch table.
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Search for contacts using Apollo.io API
Used integrations:
JavaScript
Python
class HttpSourceApolloIoSearchContacts {
async init() {
// TODO: Create your http credential with apollo.io information:
// More info at https://yepcode.io/docs/integrations/http/#credential-configuration
// baseUrl: https://api.apollo.io/v1/
this.httpClient = yepcode.integration.http(
"your-http-apollo-io-credential-name"
);
}
async fetch(publish, done) {
// TODO: Customize your request checking the API documentation:
// https://apolloio.github.io/apollo-api-docs/#search-for-contacts
const {
data
} = await this.httpClient.post("/contacts/search", {
// TODO: You need to create a YepCode env var called `APOLLO_IO_API_KEY`
api_key: yepcode.env.APOLLO_IO_API_KEY,
q_keywords: "<contact-name>, <contact-title>, <contact-company>",
});
for (const contact in data.contacts) {
await publish(contact);
}
done();
}
async close() {}
}
class HttpSourceApolloIoSearchContacts:
def setup(self):
# TODO: Create your http credential with apollo.io information:
# More info at https://yepcode.io/docs/integrations/http/#credential-configuration
# baseUrl: https://api.apollo.io/v1/
self.session = yepcode.integration.http("your-http-apollo-io-credential-name")
def generator(self):
# TODO: Customize your request checking the API documentation:
# https://apolloio.github.io/apollo-api-docs/#search-for-contacts
response = self.session.post("/contacts", json={
# TODO: You need to create a YepCode env var called `APOLLO_IO_API_KEY`
"api_key": yepcode.env.APOLLO_IO_API_KEY,
"q_keywords": "<contact-name>, <contact-title>, <contact-company>",
})
response.raise_for_status()
contacts = response.json()
for contact in contacts:
yield contact
def close(self):
pass
Do you need help solving this integration with YepCode?
Let's talkInsert rows into Elasticsearch table
Used integrations:
- JavaScript
- Python
class ElasticsearchTargetInsert {
async init() {
// TODO: Create your clickhouse credential
// More info at https://yepcode.io/docs/integrations/elasticsearch/#credential-configuration
this.elasticsearch = yepcode.integration.elasticsearch(
"your-elasticsearch-credential-name"
);
}
async consume(item) {
// TODO: Map your item to row
await this.elasticsearch.index({
index: "your_table_name",
document: item,
});
}
async close() {}
}
class ElasticsearchTargetInsert:
def setup(self):
# TODO: Create your elasticsearch credential
# More info at https://yepcode.io/docs/integrations/elasticsearch/#credential-configuration
self.elasticsearch = yepcode.integration.elasticsearch("your-elasticsearch-credential-name")
def consume(self, generator, done):
for item in generator:
self.process(item)
done()
def process(self, item):
# TODO: Customize your index name
self.elasticsearch.index(index="index-name", document=item)
def close(self):
pass
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YepCode is a SaaS platform that enables the creation, execution and monitoring of integrations and automations using source code in a serverless environment.
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