app.py

import streamlit as st
import pandas as pd
import requests
import base64

def get_backlinks(api_login, api_key, target_url, filters):
    # Encoding credentials
    encoded_credentials = base64.b64encode(f"{api_login}:{api_key}".encode()).decode()

    # Setting headers with Basic Authentication
    headers = {
        'Authorization': f'Basic {encoded_credentials}'
    }

    # Prepare post data
    post_data = {
        0: {
            "target": target_url,
            "limit": 1000,
            "mode": "as_is",
            "filters": filters
        }
    }

    # Making the API request
    response = requests.post("https://api.dataforseo.com/v3/backlinks/backlinks/live", json=post_data, headers=headers)

    # Log the full response for debugging
    st.text("API Response:")
    st.json(response.json())  # This will display the full JSON response in the Streamlit app

    # Check if the response contains 'results' key
    if response.status_code == 200 and 'results' in response.json():
        # Extract the results
        results = response.json()['results']
        # Check if results are not empty
        if results:
            # Convert results to DataFrame
            df = pd.DataFrame(results)
            return df
        else:
            st.error("Received empty data from API.")
            return None
    else:
        error_message = response.json().get('status_message', 'No specific error message provided')
        st.error(f"Error: Code: {response.status_code} Message: {error_message}")
        return None

# Streamlit layout
st.sidebar.title("DataForSEO API Parameters")
api_login = st.sidebar.text_input("API Login", value="[email protected]")
api_key = st.sidebar.text_input("API Key", type="password")

# Filters input
url_from_not_contain = st.sidebar.text_input("URL from does not contain (comma-separated)")
is_lost = st.sidebar.checkbox("Is Lost", value=False)
dofollow = st.sidebar.checkbox("Dofollow", value=True)
backlink_spam_score = st.sidebar.slider("Backlink Spam Score ≤", 0, 100, 10)
page_from_language = st.sidebar.selectbox("Page From Language", ['en', 'other'])

# Prepare filters for API call
filters = []

if url_from_not_contain:
    for url in url_from_not_contain.split(','):
        filters.append(["url_from", "not_like", url.strip()])
        filters.append("and")

if is_lost:
    filters.append(["is_lost", "=", is_lost])
    filters.append("and")

if dofollow:
    filters.append(["dofollow", "=", dofollow])
    filters.append("and")

filters.append(["backlink_spam_score", "<=", backlink_spam_score])
filters.append("and")
filters.append(["page_from_language", "=", page_from_language])

# Remove the last "and" if it's the last element
if filters and filters[-1] == "and":
    filters.pop()

# Main app layout
col1, col2 = st.columns(2)

with col1:
    st.header("Input")
    target_url = st.text_input("Enter the target URL")  # Define target_url here

with col2:
    st.header("Output")
    # Placeholder for the download link
    download_placeholder = st.empty()

generate_button = st.sidebar.button("Generate All")
reset_button = st.sidebar.button("Reset")

# Generate CSV and download button
if generate_button and target_url:
    df = get_backlinks(api_login, api_key, target_url, filters)
    if df is not None:
        # Convert DataFrame to CSV
        csv = df.to_csv(index=False)
        # Convert CSV to a string
        b64 = base64.b64encode(csv.encode()).decode()
        href = f'<a href="data:file/csv;base64,{b64}" download="backlinks.csv">Download CSV file</a>'
        # Display the download link in the placeholder
        download_placeholder.markdown(href, unsafe_allow_html=True)

# Reset functionality
if reset_button:
    st.experimental_rerun()