Quickstart

import os

from gofetch import GoFetchClient

client = GoFetchClient(api_key=os.environ["GOFETCH_API_KEY"])

run = client.actor("instagram").call(
    run_input={"usernames": ["nasa"], "limit": 10},
)
print(run["status"], run["usageTotalUsd"])

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    if item.get("type") in ("Image", "Video", "Sidecar"):
        print(item["url"], item["likesCount"])

curl https://go-fetch.io/api/v1/jobs/create/ \
  -H "X-API-Key: $GOFETCH_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"scraper_type": "instagram", "config": {"usernames": ["nasa"], "limit": 10}}'

const api = 'https://go-fetch.io/api/v1';
const headers = { 'X-API-Key': process.env.GOFETCH_API_KEY, 'Content-Type': 'application/json' };

const job = await fetch(`${api}/jobs/create/`, {
  method: 'POST',
  headers,
  body: JSON.stringify({ scraper_type: 'instagram', config: { usernames: ['nasa'], limit: 10 } }),
}).then((res) => res.json());

let current = job;
while (!current.is_terminal) {
  await new Promise((resolve) => setTimeout(resolve, 5000));
  current = await fetch(`${api}/jobs/${job.id}/`, { headers }).then((res) => res.json());
}
console.log(current.status, current.actual_cost);

const page = await fetch(`${api}/jobs/${job.id}/results/?limit=100`, { headers })
  .then((res) => res.json());
for (const item of page.results) {
  if (['Image', 'Video', 'Sidecar'].includes(item.type)) console.log(item.url, item.likesCount);
}