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Browse files- .gradio/certificate.pem +31 -0
- README.md +3 -9
- __pycache__/apollo_apis.cpython-310.pyc +0 -0
- __pycache__/apollo_apis.cpython-39.pyc +0 -0
- apollo_apis.py +104 -0
- functionality/__pycache__/funct.cpython-310.pyc +0 -0
- functionality/__pycache__/funct.cpython-39.pyc +0 -0
- functionality/funct.py +116 -0
- output_files/leads_08ea45eb-c6f3-4b03-862e-d1eebf0109bc.xlsx +0 -0
- output_files/leads_1e4303a7-1344-4378-bc4b-831f65ac97a7.xlsx +0 -0
- output_files/leads_23ef52b4-bace-4a42-adb5-dfa9949e01b8.xlsx +0 -0
- output_files/leads_75e3405a-8234-4494-a9ba-c37bc4981fca.xlsx +0 -0
- output_files/leads_84e7571b-73c5-4888-9ae2-e326ed5e0e4b.xlsx +0 -0
- output_files/leads_a1d20857-df26-4743-88dd-8ba637b77bb0.xlsx +0 -0
- saving_df.json +902 -0
- space.py +29 -0
.gradio/certificate.pem
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-----BEGIN CERTIFICATE-----
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MIIFazCCA1OgAwIBAgIRAIIQz7DSQONZRGPgu2OCiwAwDQYJKoZIhvcNAQELBQAw
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TzELMAkGA1UEBhMCVVMxKTAnBgNVBAoTIEludGVybmV0IFNlY3VyaXR5IFJlc2Vh
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ZXQgU2VjdXJpdHkgUmVzZWFyY2ggR3JvdXAxFTATBgNVBAMTDElTUkcgUm9vdCBY
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MTCCAiIwDQYJKoZIhvcNAQEBBQADggIPADCCAgoCggIBAK3oJHP0FDfzm54rVygc
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h77ct984kIxuPOZXoHj3dcKi/vVqbvYATyjb3miGbESTtrFj/RQSa78f0uoxmyF+
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0TM8ukj13Xnfs7j/EvEhmkvBioZxaUpmZmyPfjxwv60pIgbz5MDmgK7iS4+3mX6U
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B5iPNgiV5+I3lg02dZ77DnKxHZu8A/lJBdiB3QW0KtZB6awBdpUKD9jf1b0SHzUv
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KBds0pjBqAlkd25HN7rOrFleaJ1/ctaJxQZBKT5ZPt0m9STJEadao0xAH0ahmbWn
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OlFuhjuefXKnEgV4We0+UXgVCwOPjdAvBbI+e0ocS3MFEvzG6uBQE3xDk3SzynTn
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jh8BCNAw1FtxNrQHusEwMFxIt4I7mKZ9YIqioymCzLq9gwQbooMDQaHWBfEbwrbw
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qHyGO0aoSCqI3Haadr8faqU9GY/rOPNk3sgrDQoo//fb4hVC1CLQJ13hef4Y53CI
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rU7m2Ys6xt0nUW7/vGT1M0NPAgMBAAGjQjBAMA4GA1UdDwEB/wQEAwIBBjAPBgNV
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HRMBAf8EBTADAQH/MB0GA1UdDgQWBBR5tFnme7bl5AFzgAiIyBpY9umbbjANBgkq
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hkiG9w0BAQsFAAOCAgEAVR9YqbyyqFDQDLHYGmkgJykIrGF1XIpu+ILlaS/V9lZL
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3BebYhtF8GaV0nxvwuo77x/Py9auJ/GpsMiu/X1+mvoiBOv/2X/qkSsisRcOj/KK
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NFtY2PwByVS5uCbMiogziUwthDyC3+6WVwW6LLv3xLfHTjuCvjHIInNzktHCgKQ5
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ORAzI4JMPJ+GslWYHb4phowim57iaztXOoJwTdwJx4nLCgdNbOhdjsnvzqvHu7Ur
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TkXWStAmzOVyyghqpZXjFaH3pO3JLF+l+/+sKAIuvtd7u+Nxe5AW0wdeRlN8NwdC
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jNPElpzVmbUq4JUagEiuTDkHzsxHpFKVK7q4+63SM1N95R1NbdWhscdCb+ZAJzVc
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oyi3B43njTOQ5yOf+1CceWxG1bQVs5ZufpsMljq4Ui0/1lvh+wjChP4kqKOJ2qxq
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4RgqsahDYVvTH9w7jXbyLeiNdd8XM2w9U/t7y0Ff/9yi0GE44Za4rF2LN9d11TPA
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mRGunUHBcnWEvgJBQl9nJEiU0Zsnvgc/ubhPgXRR4Xq37Z0j4r7g1SgEEzwxA57d
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emyPxgcYxn/eR44/KJ4EBs+lVDR3veyJm+kXQ99b21/+jh5Xos1AnX5iItreGCc=
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-----END CERTIFICATE-----
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README.md
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---
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title:
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-
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colorFrom: blue
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colorTo: purple
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sdk: gradio
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sdk_version: 5.
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app_file: app.py
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pinned: false
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---
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-
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-
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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title: leadfetcher
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app_file: space.py
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sdk: gradio
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sdk_version: 5.6.0
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---
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__pycache__/apollo_apis.cpython-310.pyc
ADDED
Binary file (2.31 kB). View file
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__pycache__/apollo_apis.cpython-39.pyc
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Binary file (2.28 kB). View file
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apollo_apis.py
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import json
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import traceback
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import requests
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def get_mixed_people(payload):
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try:
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url = "https://api.apollo.io/api/v1/mixed_people/search"
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headers = {
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"accept": "application/json",
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"Cache-Control": "no-cache",
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"Content-Type": "application/json",
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"x-api-key": "OykhjTWxqLFmU4fXgwqK5A",
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}
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# API payload
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# payload = {
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# "page": 1,
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# "contact_email_status_v2": ["likely_to_engage", "verified"],
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# "prospected_by_current_team": ["no"],
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# "sort_by_field": "[none]",
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# "sort_ascending": False,
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# "included_organization_keyword_fields": ["tags", "name"],
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# "person_titles": ["ceo"],
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# "organization_industry_tag_ids": ["5567e09973696410db020800"],
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# "person_locations": ["Pakistan"],
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# "display_mode": "explorer_mode",
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# "per_page": 25,
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# "open_factor_names": [],
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# "num_fetch_result": 1,
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# "context": "people-index-page",
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# "show_suggestions": False,
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# "include_account_engagement_stats": False,
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# "include_contact_engagement_stats": False,
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# "finder_version": 2,
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# "ui_finder_random_seed": "n6d8ehzv75e",
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# "typed_custom_fields": [],
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# "cacheKey": 1733218374342,
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# }
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response = requests.post(url, headers=headers, json=payload)
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return response.json()
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except Exception as e:
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print(f"Exception | get_mixed_people | {str(e)}")
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traceback.print_exc()
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return None
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def get_person_contact(linkedin_url_list):
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try:
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url = "https://api.apollo.io/api/v1/people/bulk_match?reveal_personal_emails=false&reveal_phone_number=false"
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payload = json.dumps({"details": linkedin_url_list})
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headers = {
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"Cache-Control": "no-cache",
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"Content-Type": "application/json",
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"accept": "application/json",
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+
"x-api-key": "OykhjTWxqLFmU4fXgwqK5A",
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+
"Cookie": "__cf_bm=fbCqfv0bviE241FNxIFtGRazsfW7wpYXKqckX8qwaTU-1733229644-1.0.1.1-mcLtaqMx7hWrWH1BDNbzh2fogoZeFALgNOaOHI9e5M9JjJIOkWDiapult1XD2EPZnMknAghIxsaGbceRIrSnxw; GCLB=CMbm5PSXsf78BhAD; X-CSRF-TOKEN=_GS_YLyUWQYRh5SiYNNlv2x_VQx_oUP_7J4T9TNY5LVJwWY0ixqR_ecVAqILwjJr5aZKNH5ArKsUkdRbdt22kg; _leadgenie_session=87GR42WEPBd%2B5v0gjjLJtxeUYs66x%2FnC6iaESvijq%2FQVEJgh02tjtDCEaK9ojKuzQEhxeRjPbU9X%2F4foy1BtLzXfJsg2St4cru474ktdtlBCyo9iTKgJPLCAq7OYeV75ypLf3FhD5WfQkNP89uZs%2FLJ0aPV6yDVa3hzSwAZOfaqOYg0witdgFMLC4InO2CM1rq7KwYUFPeLSdOm76wsFLDM6WF6h9OT96UxKHgtoDqYBZwcQwg7MO2Sw0mfO7%2FMzWeJSB6pOM623Hry6l2W4rNb9JM%2FJFTWiXCw%3D--tAnL5HPcGsfD3exh--lO%2Fqu5DOk5Ix0MyXyIPcnQ%3D%3D",
|
65 |
+
}
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66 |
+
|
67 |
+
response = requests.request("POST", url, headers=headers, data=payload)
|
68 |
+
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69 |
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matches: list[dict] = response.json()["matches"]
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70 |
+
|
71 |
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print("matches >> ", len(matches))
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72 |
+
|
73 |
+
emails = []
|
74 |
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phone_numbers = []
|
75 |
+
|
76 |
+
for match in matches:
|
77 |
+
|
78 |
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if match is not None:
|
79 |
+
|
80 |
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print("match > ", len(match))
|
81 |
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emails.append(match.get("email", "None"))
|
82 |
+
|
83 |
+
# Navigate the nested dictionary safely
|
84 |
+
phone_number = (
|
85 |
+
match.get("organization", {})
|
86 |
+
.get("primary_phone", {})
|
87 |
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.get("sanitized_number", None)
|
88 |
+
)
|
89 |
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phone_numbers.append(phone_number)
|
90 |
+
else:
|
91 |
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emails.append(None)
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92 |
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phone_numbers.append(None)
|
93 |
+
|
94 |
+
return emails, phone_numbers
|
95 |
+
|
96 |
+
except Exception as e:
|
97 |
+
print(f"Exception | get_person_contact | {str(e)}")
|
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traceback.print_exc()
|
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return [], []
|
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+
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+
|
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+
# payload = {"page":1,"contact_email_status_v2":["likely_to_engage","verified"],"prospected_by_current_team":["no"],"sort_by_field":"[none]","sort_ascending":false,"included_organization_keyword_fields":["tags","name"],"person_titles":["ceo"],"organization_industry_tag_ids":["5567e09973696410db020800"],"person_locations":["Pakistan"],"display_mode":"explorer_mode","per_page":25,"open_factor_names":[],"num_fetch_result":1,"context":"people-index-page","show_suggestions":false,"include_account_engagement_stats":false,"include_contact_engagement_stats":false,"finder_version":2,"ui_finder_random_seed":"ecsv3i0wog4","typed_custom_fields":[],"cacheKey":1733292002393}
|
103 |
+
# res = get_mixed_people(payload)
|
104 |
+
# print(res['pagination'])
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functionality/__pycache__/funct.cpython-310.pyc
ADDED
Binary file (2.41 kB). View file
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functionality/__pycache__/funct.cpython-39.pyc
ADDED
Binary file (2.27 kB). View file
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functionality/funct.py
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1 |
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import traceback
|
2 |
+
import pandas as pd
|
3 |
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import json
|
4 |
+
import uuid
|
5 |
+
import time
|
6 |
+
from apollo_apis import get_mixed_people, get_person_contact
|
7 |
+
|
8 |
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|
9 |
+
def convert_json_to_files(payload):
|
10 |
+
try:
|
11 |
+
# Parse the input JSON
|
12 |
+
data = json.loads(payload)
|
13 |
+
|
14 |
+
res = get_mixed_people(data)
|
15 |
+
starting_page_index = res["pagination"]["page"]
|
16 |
+
ending_page_index = res["pagination"]["total_pages"]
|
17 |
+
print("Total Pages > ", ending_page_index)
|
18 |
+
|
19 |
+
name = []
|
20 |
+
first_name = []
|
21 |
+
email = []
|
22 |
+
company = []
|
23 |
+
website_link = []
|
24 |
+
company_size = []
|
25 |
+
job_title = []
|
26 |
+
city = []
|
27 |
+
country = []
|
28 |
+
linkedin_profile = []
|
29 |
+
phone_number = []
|
30 |
+
seo_description = []
|
31 |
+
# industry = []
|
32 |
+
# seo_keywords = []
|
33 |
+
# technology = []
|
34 |
+
|
35 |
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df_data = {
|
36 |
+
"Name": name,
|
37 |
+
"First name": first_name,
|
38 |
+
"email": email,
|
39 |
+
"Company": company,
|
40 |
+
"Website Link": website_link,
|
41 |
+
"Job Title": job_title,
|
42 |
+
"City": city,
|
43 |
+
"Country": country,
|
44 |
+
"Linkedin Profile": linkedin_profile,
|
45 |
+
"Phone Number": phone_number,
|
46 |
+
# "Company Size": company_size,
|
47 |
+
# "Industry": industry,
|
48 |
+
# "SEO description": seo_description,
|
49 |
+
# "SEO keywords": seo_keywords,
|
50 |
+
# "Technology": technology,
|
51 |
+
}
|
52 |
+
|
53 |
+
for x in range(1, ending_page_index + 1):
|
54 |
+
|
55 |
+
data["page"] = x
|
56 |
+
|
57 |
+
# print("data > ", data)
|
58 |
+
|
59 |
+
res = get_mixed_people(data)
|
60 |
+
|
61 |
+
if res is None:
|
62 |
+
continue
|
63 |
+
|
64 |
+
people = res["people"]
|
65 |
+
print("Total People : ", len(people))
|
66 |
+
|
67 |
+
for person in people:
|
68 |
+
|
69 |
+
name.append(person["name"])
|
70 |
+
first_name.append(person["first_name"])
|
71 |
+
company.append(person["organization"]["name"])
|
72 |
+
website_link.append(person["organization"]["website_url"])
|
73 |
+
job_title.append(person["title"])
|
74 |
+
city.append(person["city"])
|
75 |
+
country.append(person["country"])
|
76 |
+
linkedin_profile.append(person["linkedin_url"])
|
77 |
+
|
78 |
+
chunks = [linkedin_profile[i:i + 10] for i in range(0, len(linkedin_profile), 10)]
|
79 |
+
|
80 |
+
for chunk in chunks:
|
81 |
+
print("Chunk size >>>>>>>> ", len(chunk))
|
82 |
+
chunk = [{"linkedin_url": url} for url in chunk]
|
83 |
+
person_email, person_number = get_person_contact(chunk)
|
84 |
+
email.extend(person_email)
|
85 |
+
phone_number.extend(person_number)
|
86 |
+
|
87 |
+
# bulk_linkedin_urls = []
|
88 |
+
|
89 |
+
# company_size.append()
|
90 |
+
# industry.append()
|
91 |
+
# seo_description
|
92 |
+
# seo_keywords
|
93 |
+
# technology
|
94 |
+
|
95 |
+
# print("df_data > ", len(df_data))
|
96 |
+
|
97 |
+
with open('saving_df.json', 'w') as json_file:
|
98 |
+
json.dump(df_data, json_file, indent=4) # `indent=4` makes the JSON file readable
|
99 |
+
|
100 |
+
df = pd.DataFrame(data=df_data)
|
101 |
+
|
102 |
+
# Save as XLSX
|
103 |
+
unique_id = uuid.uuid4()
|
104 |
+
|
105 |
+
xlsx_file = f"output_files/leads_{unique_id}.xlsx"
|
106 |
+
df.to_excel(xlsx_file, index=False)
|
107 |
+
|
108 |
+
print("=" * 70)
|
109 |
+
|
110 |
+
return df, xlsx_file
|
111 |
+
|
112 |
+
except Exception as e:
|
113 |
+
print(f"Exception | convert_json_to_files | {str(e)}")
|
114 |
+
traceback.print_exc()
|
115 |
+
df = pd.DataFrame(data={})
|
116 |
+
return df, None
|
output_files/leads_08ea45eb-c6f3-4b03-862e-d1eebf0109bc.xlsx
ADDED
Binary file (5.01 kB). View file
|
|
output_files/leads_1e4303a7-1344-4378-bc4b-831f65ac97a7.xlsx
ADDED
Binary file (5.01 kB). View file
|
|
output_files/leads_23ef52b4-bace-4a42-adb5-dfa9949e01b8.xlsx
ADDED
Binary file (5.01 kB). View file
|
|
output_files/leads_75e3405a-8234-4494-a9ba-c37bc4981fca.xlsx
ADDED
Binary file (13 kB). View file
|
|
output_files/leads_84e7571b-73c5-4888-9ae2-e326ed5e0e4b.xlsx
ADDED
Binary file (9 kB). View file
|
|
output_files/leads_a1d20857-df26-4743-88dd-8ba637b77bb0.xlsx
ADDED
Binary file (5.01 kB). View file
|
|
saving_df.json
ADDED
@@ -0,0 +1,902 @@
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|
|
|
|
1 |
+
{
|
2 |
+
"Name": [
|
3 |
+
"Connor Collins",
|
4 |
+
"Sarah Bradshaw",
|
5 |
+
"Taylor D",
|
6 |
+
"Karen Moore",
|
7 |
+
"Alex Belisle-Springer",
|
8 |
+
"Greg M",
|
9 |
+
"Louise Reindl",
|
10 |
+
"Jordan Zoghby",
|
11 |
+
"Thad Puacz",
|
12 |
+
"Ingmar Bunschoten",
|
13 |
+
"Nadine Buntinx",
|
14 |
+
"Angel Horowitz",
|
15 |
+
"Anna Burda",
|
16 |
+
"Fotios Polytakis",
|
17 |
+
"Gergana Dramova",
|
18 |
+
"Sasha Bennett",
|
19 |
+
"Lexi Marek",
|
20 |
+
"Jarek Markiewicz",
|
21 |
+
"Ryno Rautenbach",
|
22 |
+
"Amanda Lam",
|
23 |
+
"Phoebe Davis",
|
24 |
+
"Mikael Arendse",
|
25 |
+
"Callum Robinson",
|
26 |
+
"Anna Szwak",
|
27 |
+
"Karolina Grochocinska",
|
28 |
+
"Matt Rowse",
|
29 |
+
"Julie Francis",
|
30 |
+
"Kenchappa G",
|
31 |
+
"Kevin Malema",
|
32 |
+
"Lisa O'Brien",
|
33 |
+
"Nisla Urrutia",
|
34 |
+
"Melissa Dick",
|
35 |
+
"Lisa Milne",
|
36 |
+
"Ines Garcia Garrido",
|
37 |
+
"Jessica Pike",
|
38 |
+
"Arlyne Pardo",
|
39 |
+
"Tiaren Naidoo",
|
40 |
+
"Natalia Kwapisiewicz",
|
41 |
+
"Andrea Kane",
|
42 |
+
"Monde Konqobe",
|
43 |
+
"Kyle Leo",
|
44 |
+
"Sejal Maheta",
|
45 |
+
"Crystal-Nicole B.",
|
46 |
+
"Dani McClain",
|
47 |
+
"Ruta Vareikaite",
|
48 |
+
"Mirko Grahnert",
|
49 |
+
"Thabiso Ndlovu",
|
50 |
+
"Taylor E",
|
51 |
+
"Gregory Twohig",
|
52 |
+
"Cara Goodwin",
|
53 |
+
"Angel G",
|
54 |
+
"Kelebogile Sekori",
|
55 |
+
"Suzan Molefe",
|
56 |
+
"Weronika Franaszczyk",
|
57 |
+
"Emily",
|
58 |
+
"Amber Lally",
|
59 |
+
"Ankit Jain",
|
60 |
+
"Nestor Alvarez Hidalgo",
|
61 |
+
"Calvin Oudtshoorn",
|
62 |
+
"Thabiso Ruba",
|
63 |
+
"Nayari Chifundo",
|
64 |
+
"Marla Evanko",
|
65 |
+
"Barbara Kelly",
|
66 |
+
"Philani Juju",
|
67 |
+
"Leandra Maree",
|
68 |
+
"Jakub Rusecki",
|
69 |
+
"Noluthando McHunu",
|
70 |
+
"Dineo Legabe",
|
71 |
+
"Denise Larocca",
|
72 |
+
"Melinda L",
|
73 |
+
"Natalia Moskwa",
|
74 |
+
"Larissa Hodgins",
|
75 |
+
"Shannen Abbott",
|
76 |
+
"Lebohang Manyike",
|
77 |
+
"Brian Mitchell",
|
78 |
+
"Ridley Evans",
|
79 |
+
"Braian Orozco",
|
80 |
+
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|
81 |
+
"Tebogo Mohlamme",
|
82 |
+
"Semakaleng Phofedi",
|
83 |
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|
84 |
+
"Marta Tywanek",
|
85 |
+
"Joette Ferreira",
|
86 |
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"Anna Padua",
|
87 |
+
"Claudia Schwarz",
|
88 |
+
"Boitumelo Bogatsu",
|
89 |
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"Jacintha Bellosillo",
|
90 |
+
"Healani Hutson"
|
91 |
+
],
|
92 |
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|
93 |
+
"Connor",
|
94 |
+
"Sarah",
|
95 |
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|
96 |
+
"Karen",
|
97 |
+
"Alex",
|
98 |
+
"Greg",
|
99 |
+
"Louise",
|
100 |
+
"Jordan",
|
101 |
+
"Thad",
|
102 |
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"Ingmar",
|
103 |
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"Nadine",
|
104 |
+
"Angel",
|
105 |
+
"Anna",
|
106 |
+
"Fotios",
|
107 |
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"Gergana",
|
108 |
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|
109 |
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|
110 |
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|
111 |
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"Ryno",
|
112 |
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|
113 |
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|
114 |
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|
115 |
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|
116 |
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|
117 |
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|
118 |
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|
119 |
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|
120 |
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"Kenchappa",
|
121 |
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|
122 |
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"Lisa",
|
123 |
+
"Nisla",
|
124 |
+
"Melissa",
|
125 |
+
"Lisa",
|
126 |
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"Ines",
|
127 |
+
"Jessica",
|
128 |
+
"Arlyne",
|
129 |
+
"Tiaren",
|
130 |
+
"Natalia",
|
131 |
+
"Andrea",
|
132 |
+
"Monde",
|
133 |
+
"Kyle",
|
134 |
+
"Sejal",
|
135 |
+
"Crystal-Nicole",
|
136 |
+
"Dani",
|
137 |
+
"Ruta",
|
138 |
+
"Mirko",
|
139 |
+
"Thabiso",
|
140 |
+
"Taylor",
|
141 |
+
"Gregory",
|
142 |
+
"Cara",
|
143 |
+
"Angel",
|
144 |
+
"Kelebogile",
|
145 |
+
"Suzan",
|
146 |
+
"Weronika",
|
147 |
+
"Emily",
|
148 |
+
"Amber",
|
149 |
+
"Ankit",
|
150 |
+
"Nestor",
|
151 |
+
"Calvin",
|
152 |
+
"Thabiso",
|
153 |
+
"Nayari",
|
154 |
+
"Marla",
|
155 |
+
"Barbara",
|
156 |
+
"Philani",
|
157 |
+
"Leandra",
|
158 |
+
"Jakub",
|
159 |
+
"Noluthando",
|
160 |
+
"Dineo",
|
161 |
+
"Denise",
|
162 |
+
"Melinda",
|
163 |
+
"Natalia",
|
164 |
+
"Larissa",
|
165 |
+
"Shannen",
|
166 |
+
"Lebohang",
|
167 |
+
"Brian",
|
168 |
+
"Ridley",
|
169 |
+
"Braian",
|
170 |
+
"Tasha",
|
171 |
+
"Tebogo",
|
172 |
+
"Semakaleng",
|
173 |
+
"Tracy",
|
174 |
+
"Marta",
|
175 |
+
"Joette",
|
176 |
+
"Anna",
|
177 |
+
"Claudia",
|
178 |
+
"Boitumelo",
|
179 |
+
"Jacintha",
|
180 |
+
"Healani"
|
181 |
+
],
|
182 |
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|
183 |
+
"connor@mangomint.com",
|
184 |
+
"sarah@mangomint.com",
|
185 |
+
null,
|
186 |
+
"karen.moore@daysmart.com",
|
187 |
+
"zoe.belislesp@phorest.com",
|
188 |
+
null,
|
189 |
+
"louise.reindl@phorest.com",
|
190 |
+
"jordan.zoghby@dashbpo.com",
|
191 |
+
"thadp@cmjdesigns.com",
|
192 |
+
"ingmar@salonized.com",
|
193 |
+
"nadine@salonized.com",
|
194 |
+
"angel.horowitz@daysmart.com",
|
195 |
+
"anna.burda@booksy.com",
|
196 |
+
"fotios.polytakis@phorest.com",
|
197 |
+
"gergana@salonized.com",
|
198 |
+
"sasha.bennett@dashbpo.com",
|
199 |
+
"l.marek@glossgenius.com",
|
200 |
+
"jaroslaw.markiewicz@booksy.com",
|
201 |
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"ryno.rautenbach@dashbpo.com",
|
202 |
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"a.lam@glossgenius.com",
|
203 |
+
"phoebe@getslick.com",
|
204 |
+
"mikael.arendse@dashbpo.com",
|
205 |
+
"callum.robinson@booksy.com",
|
206 |
+
"anna.szwak@booksy.com",
|
207 |
+
"karolina.grochocinska@booksy.com",
|
208 |
+
"matt.rowse@shortcuts.com.au",
|
209 |
+
"julie.francis@dashbpo.com",
|
210 |
+
"kenchappa.g@glamplus.in",
|
211 |
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"kevin.malema@dashbpo.com",
|
212 |
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"lisa.obrien@phorest.com",
|
213 |
+
"nisla.urrutia@dashbpo.com",
|
214 |
+
"mdick@meevo.com",
|
215 |
+
"lisa.milne@phorest.com",
|
216 |
+
"ines.garcia@booksy.com",
|
217 |
+
"jessica.pike@gettimely.com",
|
218 |
+
"arlyne.pardo@dashbpo.com",
|
219 |
+
"tiaren.naidoo@dashbpo.com",
|
220 |
+
"natalia.kwapisiewicz@booksy.com",
|
221 |
+
"andrea.kane@phorest.com",
|
222 |
+
"monde.konqobe@dashbpo.com",
|
223 |
+
"kyle.leo@dashbpo.com",
|
224 |
+
"smaheta@millenniumsi.com",
|
225 |
+
"crystal@thecut.co",
|
226 |
+
"dmcclain@meevo.com",
|
227 |
+
"ruta@appointedd.com",
|
228 |
+
"mirko.grahnert@booksy.com",
|
229 |
+
"thabiso.ndlovu@dashbpo.com",
|
230 |
+
null,
|
231 |
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|
232 |
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"cara@saloniq.com",
|
233 |
+
null,
|
234 |
+
"kelebogile.sekori@dashbpo.com",
|
235 |
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"suzan.molefe@dashbpo.com",
|
236 |
+
"weronika.franaszczyk@booksy.com",
|
237 |
+
"emily@mangomint.com",
|
238 |
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"amber.lally@kitomba.com",
|
239 |
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"ankit.jain@dingg.app",
|
240 |
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"nestor.alvarez@dashbpo.com",
|
241 |
+
"calvin.vanoudtshoorn@dashbpo.com",
|
242 |
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|
243 |
+
"nayari.chifundo@dashbpo.com",
|
244 |
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"marla.evanko@daysmart.com",
|
245 |
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|
246 |
+
"philani.juju@dashbpo.com",
|
247 |
+
"leandra.maree@dashbpo.com",
|
248 |
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"jakub.rusecki@booksy.com",
|
249 |
+
"noluthando.mchunu@dashbpo.com",
|
250 |
+
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|
251 |
+
"dlarocca@millenniumsi.com",
|
252 |
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null,
|
253 |
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"natalia.moskwa@booksy.com",
|
254 |
+
"larissa.hodgins@phorest.com",
|
255 |
+
"shannen-abbott@phorest.com",
|
256 |
+
"lebohang.manyike@dashbpo.com",
|
257 |
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"brian.mitchell@dashbpo.com",
|
258 |
+
"ridley.evans@dashbpo.com",
|
259 |
+
"braian.orozco@urvenue.com",
|
260 |
+
"tasha.banks@shortcuts.com.au",
|
261 |
+
"tebogo.mohlamme@dashbpo.com",
|
262 |
+
"semakaleng.phofedi@dashbpo.com",
|
263 |
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"tracy@time.ly",
|
264 |
+
"marta.tywanek@phorest.com",
|
265 |
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"joette.ferreira@dashbpo.com",
|
266 |
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"apadua@book4time.com",
|
267 |
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|
268 |
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|
269 |
+
"jbellosillo@book4time.com",
|
270 |
+
"healani.hutson@shortcuts.com.au"
|
271 |
+
],
|
272 |
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|
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|
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298 |
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299 |
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453 |
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|
454 |
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455 |
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456 |
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457 |
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458 |
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459 |
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461 |
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462 |
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463 |
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464 |
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465 |
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466 |
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467 |
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468 |
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471 |
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472 |
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473 |
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476 |
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477 |
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484 |
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485 |
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486 |
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880 |
+
"+18333274276",
|
881 |
+
"+19734029500",
|
882 |
+
null,
|
883 |
+
"+13125480085",
|
884 |
+
"+35318747800",
|
885 |
+
"+35318747800",
|
886 |
+
"+18333274276",
|
887 |
+
"+18333274276",
|
888 |
+
"+18333274276",
|
889 |
+
"+17026054000",
|
890 |
+
"+61738343232",
|
891 |
+
"+18333274276",
|
892 |
+
"+18333274276",
|
893 |
+
"+6444887012",
|
894 |
+
"+35318747800",
|
895 |
+
"+18333274276",
|
896 |
+
"+19057522588",
|
897 |
+
"+35318747800",
|
898 |
+
"+18333274276",
|
899 |
+
"+19057522588",
|
900 |
+
"+61738343232"
|
901 |
+
]
|
902 |
+
}
|
space.py
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
|
2 |
+
|
3 |
+
# Gradio interface
|
4 |
+
from functionality.funct import convert_json_to_files
|
5 |
+
import gradio as gr
|
6 |
+
|
7 |
+
# iface = gr.Interface(
|
8 |
+
# fn=convert_json_to_files,
|
9 |
+
# inputs="text",
|
10 |
+
# outputs=[
|
11 |
+
# gr.Dataframe(label="CSV Preview"), # Display the DataFrame
|
12 |
+
# gr.File(label="Download Excel File") # Downloadable Excel file
|
13 |
+
# ],
|
14 |
+
# title="JSON to CSV and XLSX Converter",
|
15 |
+
# description="Upload your JSON data, preview the CSV, and download the converted CSV and XLSX files."
|
16 |
+
# )
|
17 |
+
|
18 |
+
iface = gr.Interface(
|
19 |
+
fn=convert_json_to_files,
|
20 |
+
inputs=gr.Textbox(label="Input JSON Data", placeholder='Enter JSON data here...', lines=10),
|
21 |
+
outputs=[
|
22 |
+
gr.Dataframe(label="CSV Preview"), # Display the DataFrame
|
23 |
+
gr.File(label="Download Excel File") # Downloadable Excel file
|
24 |
+
],
|
25 |
+
title="Leads Fetcher",
|
26 |
+
description="Upload your JSON data, preview the CSV, and download the converted CSV and XLSX files."
|
27 |
+
)
|
28 |
+
|
29 |
+
iface.launch(share=True)
|