Scraped Data Export (CSV/JSON/API)

Our company is engaged in the development, support and maintenance of sites of any complexity. From simple one-page sites to large-scale cluster systems built on micro services. Experience of developers is confirmed by certificates from vendors.

Development and maintenance of all types of websites:

Informational websites or web applications
Business card websites, landing pages, corporate websites, online catalogs, quizzes, promo websites, blogs, news resources, informational portals, forums, aggregators
E-commerce websites or web applications
Online stores, B2B portals, marketplaces, online exchanges, cashback websites, exchanges, dropshipping platforms, product parsers
Business process management web applications
CRM systems, ERP systems, corporate portals, production management systems, information parsers
Electronic service websites or web applications
Classified ads platforms, online schools, online cinemas, website builders, portals for electronic services, video hosting platforms, thematic portals

These are just some of the technical types of websites we work with, and each of them can have its own specific features and functionality, as well as be customized to meet the specific needs and goals of the client.

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Scraped Data Export (CSV/JSON/API)
Simple
from 1 business day to 3 business days
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Our competencies:

Development stages

Latest works

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    B2B ADVANCE company website development
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    1094
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    Development of a web application for Enviok
    831
  • image_bitrix-bitrix-24-1c_fixper_448_0.png
    Website development for FIXPER company
    851

Implementing Scraped Data Export (CSV/JSON/API)

Scraped data is needed in different formats: analytics teams need CSV for Excel, developers need JSON via API, integrations with other systems need webhooks or direct endpoint access.

CSV Export

For large volumes (>10k rows) we don't generate the entire file in memory — we stream it:

import csv
import io
from flask import Response, stream_with_context

def export_csv(site_id: int, filters: dict):
    def generate():
        output = io.StringIO()
        writer = csv.DictWriter(output, fieldnames=[
            'id', 'name', 'price', 'currency', 'url', 'in_stock', 'scraped_at'
        ])
        writer.writeheader()
        yield output.getvalue()
        output.truncate(0); output.seek(0)

        for product in stream_products(site_id, filters):
            writer.writerow(product)
            yield output.getvalue()
            output.truncate(0); output.seek(0)

    return Response(
        stream_with_context(generate()),
        mimetype='text/csv',
        headers={'Content-Disposition': 'attachment; filename=export.csv'},
    )

JSON API

REST endpoint with filtering, pagination and field selection:

GET /api/v1/scraped-products?site_id=7&in_stock=true&fields=name,price,url&page=1&per_page=100
{
  "data": [
    { "name": "Nike Air Max Sneakers", "price": 89.99, "url": "https://..." }
  ],
  "meta": {
    "page": 1,
    "per_page": 100,
    "total": 4823
  }
}

Authentication — API key in the X-API-Key header. Access is limited by IP and rate limiting (100 requests/min).

Webhook Notification

After parsing completion or data update, the system sends a POST request to the client's webhook URL:

import httpx, hashlib, hmac

def send_webhook(url: str, secret: str, payload: dict):
    body = json.dumps(payload).encode()
    sig = hmac.new(secret.encode(), body, hashlib.sha256).hexdigest()
    httpx.post(url, content=body, headers={
        'Content-Type': 'application/json',
        'X-Signature-SHA256': f'sha256={sig}',
    }, timeout=10)

The signature allows the recipient to verify the authenticity of the request.

Implementation Timeline

CSV and JSON API with basic authentication — 1–2 business days. Webhooks with signatures, filters, field selection — additional 1 day.