From 345ed6b00e21d4558409b1d908ef94fb50e1622f Mon Sep 17 00:00:00 2001 From: Cullen Watson Date: Thu, 25 Jul 2024 21:02:58 -0500 Subject: [PATCH] enh: login with api (#16) --- README.md | 31 +- poetry.lock | 793 ++++++++++++++++++---------------- pyproject.toml | 8 +- staffspy/__init__.py | 6 +- staffspy/capsolver.py | 45 ++ staffspy/linkedin/__init__.py | 528 ++++++++++++++++++++++ staffspy/linkedin/linkedin.py | 4 +- staffspy/models.py | 6 +- staffspy/utils.py | 179 ++++++-- 9 files changed, 1198 insertions(+), 402 deletions(-) create mode 100644 staffspy/capsolver.py create mode 100644 staffspy/linkedin/__init__.py diff --git a/README.md b/README.md index 4b6b7ff..4f8883b 100644 --- a/README.md +++ b/README.md @@ -30,15 +30,33 @@ staff = scrape_staff( search_term="software engineer", # optional location="london", # optional extra_profile_data=True, # fetch all past experiences, schools, & skills + + username="myemail@gmail.com", + password="mypassword", + capsolver_api_key="CAP-6D6A8CE981803A309A0D531F8B4790BC", + max_results=50, # can go up to 1000 - session_file=str(session_file), # save browser cookies + session_file=str(session_file), # save log in cookies to only log in once log_level=1, ) filename = f"staff.csv" staff.to_csv(filename, index=False) ``` -A browser will open to sign in to LinkedIn on the first sign-in. Press enter after signing in to begin scraping. + +### Two login methods + +#### Requests login +If you pass in a ```username``` & ```password```, it will sign in via LinkedIn api. If hit with a captcha, you need to pass ```capsolver_api_key```. + + +#### Browser login + +If that fails or you rather use a browser, install the browser add-on to StaffSpy . + +```pip install staffspy[browser]``` + +Do not pass the ```username``` & ```password``` params, then a browser will open to sign in to LinkedIn on the first sign-in. Press enter after signing in to begin scraping. ### Partial Output | name | position | profile_id | first_name | last_name | potential_email | company | school | location | followers | connections | premium | @@ -74,6 +92,15 @@ Optional | file path to save session cookies, so only one manual login is needed. | can use mult profiles this way │ +├── username (str): +| linkedin account email +│ +├── password (str): +| linkedin account password +| +├── capsolver_api_key (str): +| solves the captcha using capsolver.com if hit with captcha on login +│ ├── log_level (int): | Controls the verbosity of the runtime printouts | (0 prints only errors, 1 is info, 2 is all logs. 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"3517cc27b3f7ad77af6e52b9b8364f3dbadc43991c15dee637eba5ca9f03af96" +content-hash = "5d661b14e47dc049a64dc6e1e1f76874dc0296c2af75d6d974d621035ffb571f" diff --git a/pyproject.toml b/pyproject.toml index 52a43f6..49a578b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,19 +1,23 @@ [tool.poetry] name = "staffspy" -version = "0.1.17" +version = "0.2.0" description = "Staff scraper library for LinkedIn" authors = ["Cullen Watson "] readme = "README.md" [tool.poetry.dependencies] python = "^3.10" -selenium = "^4.21.0" pydantic = "^2.7.2" pandas = "^2.2.2" requests = "^2.32.3" tldextract = "^5.1.2" +selenium = { version = "^4.3.0", optional = true } +tenacity = "^8.5.0" python-dateutil = "^2.9.0.post0" +beautifulsoup4 = "^4.12.3" +[tool.poetry.extras] +browser = ["selenium"] [tool.poetry.group.dev.dependencies] pre-commit = "^3.7.1" diff --git a/staffspy/__init__.py b/staffspy/__init__.py index 3ed39ba..66ee38a 100644 --- a/staffspy/__init__.py +++ b/staffspy/__init__.py @@ -14,9 +14,13 @@ def scrape_staff( extra_profile_data: bool = False, max_results: int = 1000, log_level: int = 0, + username: str = None, + password: str = None, + capsolver_api_key: str = None ) -> pd.DataFrame: set_logger_level(log_level) - li = LinkedInScraper(session_file) + + li = LinkedInScraper(session_file, username, password, capsolver_api_key) staff = li.scrape_staff( company_name=company_name, diff --git a/staffspy/capsolver.py b/staffspy/capsolver.py new file mode 100644 index 0000000..534c9b3 --- /dev/null +++ b/staffspy/capsolver.py @@ -0,0 +1,45 @@ +import requests +import json +import time +from tenacity import retry, stop_after_attempt, retry_if_result + +public_key = "3117BF26-4762-4F5A-8ED9-A85E69209A46" +page_url = "https://iframe.arkoselabs.com" + + +def is_none(value): + return value is None + + +@retry(stop=stop_after_attempt(10), retry=retry_if_result(is_none)) +def capsolver(blob_data: str, api_key: str): + from staffspy.utils import logger + + payload = { + "clientKey": api_key, + "task": { + "type": 'FunCaptchaTaskProxyLess', + "websitePublicKey": public_key, + "websiteURL": page_url, + "data": json.dumps({"blob": blob_data}) if blob_data else '' + } + } + res = requests.post("https://api.capsolver.com/createTask", json=payload) + resp = res.json() + task_id = resp.get("taskId") + if not task_id: + logger.info("Failed to create task:", res.text) + return None + logger.info(f"Got captcha solver taskId: {task_id} / Getting result...") + + while True: + time.sleep(1) # delay + payload = {"clientKey": api_key, "taskId": task_id} + res = requests.post("https://api.capsolver.com/getTaskResult", json=payload) + resp = res.json() + status = resp.get("status") + if status == "ready": + return resp.get("solution", {}).get('token') + if status == "failed" or resp.get("errorId"): + logger.info("Captcha solve failed! response:", res.text) + return None diff --git a/staffspy/linkedin/__init__.py b/staffspy/linkedin/__init__.py new file mode 100644 index 0000000..b2cb4e1 --- /dev/null +++ b/staffspy/linkedin/__init__.py @@ -0,0 +1,528 @@ +import json +import re +import sys +from urllib.parse import quote +from concurrent.futures import ThreadPoolExecutor, as_completed + +import staffspy.utils as utils +from staffspy.utils import logger +from staffspy.exceptions import TooManyRequests, BadCookies, GeoUrnNotFound +from staffspy.models import Staff, Experience, Certification, Skill, School + + +class LinkedInScraper: + company_id_ep = "https://www.linkedin.com/voyager/api/organization/companies?q=universalName&universalName=" + employees_ep = "https://www.linkedin.com/voyager/api/graphql?variables=(start:{offset},query:(flagshipSearchIntent:SEARCH_SRP,{search}queryParameters:List((key:currentCompany,value:List({company_id})),{location}(key:resultType,value:List(PEOPLE))),includeFiltersInResponse:false),count:{count})&queryId=voyagerSearchDashClusters.66adc6056cf4138949ca5dcb31bb1749" + employee_ep = "https://www.linkedin.com/voyager/api/voyagerIdentityDashProfiles?count=1&decorationId=com.linkedin.voyager.dash.deco.identity.profile.TopCardComplete-138&memberIdentity={employee_id}&q=memberIdentity" + skills_ep = "https://www.linkedin.com/voyager/api/graphql?queryId=voyagerIdentityDashProfileComponents.277ba7d7b9afffb04683953cede751fb&queryName=ProfileComponentsBySectionType&variables=(tabIndex:0,sectionType:skills,profileUrn:urn%3Ali%3Afsd_profile%3A{employee_id},count:50)" + experience_ep = "https://www.linkedin.com/voyager/api/graphql?queryId=voyagerIdentityDashProfileComponents.277ba7d7b9afffb04683953cede751fb&queryName=ProfileComponentsBySectionType&variables=(tabIndex:0,sectionType:experience,profileUrn:urn%3Ali%3Afsd_profile%3A{employee_id},count:50)" + certifications_ep = "https://www.linkedin.com/voyager/api/graphql?queryId=voyagerIdentityDashProfileComponents.277ba7d7b9afffb04683953cede751fb&queryName=ProfileComponentsBySectionType&variables=(tabIndex:0,sectionType:certifications,profileUrn:urn%3Ali%3Afsd_profile%3A{employee_id},count:50)" + schools_ep = "https://www.linkedin.com/voyager/api/graphql?queryId=voyagerIdentityDashProfileComponents.277ba7d7b9afffb04683953cede751fb&queryName=ProfileComponentsBySectionType&variables=(tabIndex:0,sectionType:education,profileUrn:urn%3Ali%3Afsd_profile%3A{employee_id},count:50)" + urn_ep = "https://www.linkedin.com/voyager/api/graphql?queryId=voyagerSearchDashReusableTypeahead.57a4fa1dd92d3266ed968fdbab2d7bf5&queryName=SearchReusableTypeaheadByType&variables=(query:(showFullLastNameForConnections:false,typeaheadFilterQuery:(geoSearchTypes:List(MARKET_AREA,COUNTRY_REGION,ADMIN_DIVISION_1,CITY))),keywords:{location},type:GEO,start:0)" + + def __init__(self, session_file, username: str, password: str, capsolver_api_key: str): + self.session = utils.load_session(session_file, username, password, capsolver_api_key) + self.company_id = self.staff_count = self.num_staff = self.company_name = ( + self.domain + ) = self.max_results = self.search_term = self.location = None + + def get_company_id(self, company_name): + res = self.session.get(f"{self.company_id_ep}{company_name}") + if res.status_code != 200: + raise Exception( + f"Failed to find company {company_name}", + res.status_code, + res.text[:200], + ) + logger.debug(f"Fetched company {res.status_code}") + try: + response_json = res.json() + except json.decoder.JSONDecodeError: + logger.debug(res.text[:200]) + sys.exit() + company = response_json["elements"][0] + self.domain = utils.extract_base_domain(company["companyPageUrl"]) + staff_count = company["staffCount"] + company_id = company["trackingInfo"]["objectUrn"].split(":")[-1] + logger.info(f"Found company {company_name} with {staff_count} staff") + return company_id, staff_count + + def parse_staff(self, elements): + staff = [] + + for elem in elements: + for card in elem.get("items", []): + person = card.get("item", {}).get("entityResult", {}) + if not person: + continue + pattern = r"urn:li:fsd_profile:([^,]+),SEARCH_SRP" + match = re.search(pattern, person["entityUrn"]) + linkedin_id = match.group(1) + + name = person["title"]["text"].strip() + position = ( + person.get("primarySubtitle", {}).get("text", "") + if person.get("primarySubtitle") + else "" + ) + staff.append( + Staff( + id=linkedin_id, + name=name, + position=position, + search_term=( + f"{self.company_name}" + if not self.search_term + else f"{self.company_name} - {self.search_term}" + ), + ) + ) + return staff + + def parse_emp(self, emp, emp_dict): + try: + photo_data = emp_dict["profilePicture"]["displayImageReference"][ + "vectorImage" + ] + photo_base_url = photo_data["rootUrl"] + photo_ext_url = photo_data["artifacts"][-1]["fileIdentifyingUrlPathSegment"] + profile_photo = f"{photo_base_url}{photo_ext_url}" + except: + profile_photo = None + + emp.profile_id = emp_dict["publicIdentifier"] + + emp.profile_link = f'https://www.linkedin.com/in/{emp_dict["publicIdentifier"]}' + + emp.profile_photo = profile_photo + emp.first_name = emp_dict["firstName"] + emp.last_name = emp_dict["lastName"] + emp.potential_email = utils.create_email( + emp.first_name, emp.last_name, self.domain + ) + + emp.followers = emp_dict.get("followingState", {}).get("followerCount") + emp.connections = emp_dict["connections"]["paging"]["total"] + emp.location = emp_dict["geoLocation"]["geo"]["defaultLocalizedName"] + emp.company = emp_dict["profileTopPosition"]["elements"][0]["companyName"] + edu_cards = emp_dict["profileTopEducation"]["elements"] + if edu_cards: + emp.school = edu_cards[0].get( + "schoolName", edu_cards[0].get("school", {}).get("name") + ) + emp.influencer = emp_dict["influencer"] + emp.creator = emp_dict["creator"] + emp.premium = emp_dict["premium"] + + def fetch_employee(self, base_staff): + ep = self.employee_ep.format(employee_id=base_staff.id) + res = self.session.get(ep) + logger.debug(f"basic info, status code - {res.status_code}") + if res.status_code == 429: + return TooManyRequests("429 Too Many Requests") + if not res.ok: + logger.debug(res.text[:200]) + return False + try: + res_json = res.json() + except json.decoder.JSONDecodeError: + logger.debug(res.text[:200]) + return False + + try: + employee_json = res_json["elements"][0] + except (KeyError, IndexError, TypeError): + logger.debug(res_json) + return False + + self.parse_emp(base_staff, employee_json) + return True + + def fetch_skills(self, staff): + ep = self.skills_ep.format(employee_id=staff.id) + res = self.session.get(ep) + logger.debug(f"skills, status code - {res.status_code}") + if res.status_code == 429: + return TooManyRequests("429 Too Many Requests") + if not res.ok: + logger.debug(res.text[:200]) + return False + try: + res_json = res.json() + except json.decoder.JSONDecodeError: + logger.debug(res.text[:200]) + return False + + tab_comp = res_json["data"]["identityDashProfileComponentsBySectionType"][ + "elements" + ][0]["components"]["tabComponent"] + if tab_comp: + sections = tab_comp["sections"] + staff.skills = self.parse_skills(sections) + return True + + def fetch_experiences(self, staff): + ep = self.experience_ep.format(employee_id=staff.id) + res = self.session.get(ep) + logger.debug(f"exps, status code - {res.status_code}") + if res.status_code == 429: + return TooManyRequests("429 Too Many Requests") + if not res.ok: + logger.debug(res.text[:200]) + return False + try: + res_json = res.json() + except json.decoder.JSONDecodeError: + logger.debug(res.text[:200]) + return False + + try: + skills_json = res_json["data"][ + "identityDashProfileComponentsBySectionType" + ]["elements"][0]["components"]["pagedListComponent"]["components"][ + "elements" + ] + except (KeyError, IndexError, TypeError) as e: + logger.debug(res_json) + return False + + staff.experiences = self.parse_experiences(skills_json) + return True + + def fetch_certifications(self, staff): + ep = self.certifications_ep.format(employee_id=staff.id) + res = self.session.get(ep) + logger.debug(f"certs, status code - {res.status_code}") + if res.status_code == 429: + return TooManyRequests("429 Too Many Requests") + if not res.ok: + logger.debug(res.text[:200]) + return False + try: + res_json = res.json() + except json.decoder.JSONDecodeError: + logger.debug(res.text[:200]) + return False + + try: + elems = res_json["data"]["identityDashProfileComponentsBySectionType"][ + "elements" + ] + except (KeyError, IndexError, TypeError) as e: + logger.debug(res_json) + return False + if elems: + cert_elems = elems[0]["components"]["pagedListComponent"]["components"][ + "elements" + ] + staff.certifications = self.parse_certifications(cert_elems) + return True + + def fetch_schools(self, staff): + ep = self.schools_ep.format(employee_id=staff.id) + res = self.session.get(ep) + logger.debug(f"schools, status code - {res.status_code}") + if res.status_code == 429: + return TooManyRequests("429 Too Many Requests") + + if not res.ok: + logger.debug(res.text[:200]) + return False + try: + res_json = res.json() + except json.decoder.JSONDecodeError: + logger.debug(res.text[:200]) + return False + + try: + elements = res_json["data"]["identityDashProfileComponentsBySectionType"][ + "elements" + ][0]["components"]["pagedListComponent"]["components"]["elements"] + except (KeyError, IndexError, TypeError) as e: + logger.debug(res_json) + return False + + staff.schools = self.parse_schools(elements) + return True + + def parse_schools(self, elements): + schools = [] + for elem in elements: + entity = elem["components"]["entityComponent"] + if not entity: + break + years = entity["caption"]["text"] if entity["caption"] else None + school_name = entity["titleV2"]["text"]["text"] + degree = entity["subtitle"]["text"] if entity["subtitle"] else None + school = School( + years=years, + school=school_name, + degree=degree, + ) + schools.append(school) + + return schools + + def parse_certifications(self, sections): + certs = [] + for section in sections: + elem = section["components"]["entityComponent"] + if not elem: + break + title = elem["titleV2"]["text"]["text"] + issuer = elem["subtitle"]["text"] if elem["subtitle"] else None + date_issued = ( + elem["caption"]["text"].replace("Issued ", "") + if elem["caption"] + else None + ) + cert_id = ( + elem["metadata"]["text"].replace("Credential ID ", "") + if elem["metadata"] + else None + ) + try: + subcomp = elem["subComponents"]["components"][0] + cert_link = subcomp["components"]["actionComponent"]["action"][ + "navigationAction" + ]["actionTarget"] + except: + cert_link = None + cert = Certification( + title=title, + issuer=issuer, + date_issued=date_issued, + cert_link=cert_link, + cert_id=cert_id, + ) + certs.append(cert) + + return certs + + def fetch_staff(self, offset, company_id): + ep = self.employees_ep.format( + offset=offset, + company_id=company_id, + count=min(50, self.max_results), + search=f"keywords:{quote(self.search_term)}," if self.search_term else "", + location=( + f"(key:geoUrn,value:List({self.location}))," if self.location else "" + ), + ) + res = self.session.get(ep) + logger.debug(f"employees, status code - {res.status_code}") + if res.status_code == 400: + raise BadCookies("Outdated login, delete the session file to log in again") + elif res.status_code == 429: + raise TooManyRequests("429 Too Many Requests") + if not res.ok: + return + try: + res_json = res.json() + except json.decoder.JSONDecodeError: + logger.debug(res.text[:200]) + return False + + try: + elements = res_json["data"]["searchDashClustersByAll"]["elements"] + except (KeyError, IndexError, TypeError): + logger.debug(res_json) + return False + new_staff = self.parse_staff(elements) if elements else [] + logger.debug( + f"Fetched {len(new_staff)} employees at offset {offset} / {self.num_staff}" + ) + return new_staff + + def fetch_urn(self, location: str): + ep = self.urn_ep.format(location=quote(location)) + res = self.session.get(ep) + try: + res_json = res.json() + except json.decoder.JSONDecodeError: + logger.debug(res.text[:200]) + raise GeoUrnNotFound("Failed to find geo id") + + try: + elems = res_json["data"]["searchDashReusableTypeaheadByType"]["elements"] + except (KeyError, IndexError, TypeError): + logger.debug(res_json) + raise GeoUrnNotFound("Failed to find geo id") + + geo_id = None + if elems: + urn = elems[0]["trackingUrn"] + m = re.search("urn:li:geo:(.+)", urn) + if m: + geo_id = m.group(1) + if not geo_id: + raise GeoUrnNotFound("Failed to find geo id") + self.location = geo_id + + def scrape_staff( + self, + company_name: str, + search_term: str, + location: str, + extra_profile_data: bool, + max_results: int, + ): + self.search_term = search_term + self.company_name = company_name + self.max_results = max_results + + company_id, staff_count = self.get_company_id(company_name) + staff_list: list[Staff] = [] + self.num_staff = min(staff_count, max_results, 1000) + + if location: + try: + self.fetch_urn(location) + except GeoUrnNotFound as e: + logger.error(str(e)) + return staff_list[:max_results] + + try: + for offset in range(0, self.num_staff, 50): + staff = self.fetch_staff(offset, company_id) + if not staff: + break + staff_list += staff + logger.info( + f"Found {len(staff_list)} staff at {company_name} {f'at {location}' if location else ''}" + ) + except (BadCookies, TooManyRequests) as e: + logger.error(str(e)) + return staff_list[:max_results] + + reduced_staff_list = staff_list[:max_results] + + non_restricted = list( + filter(lambda x: x.name != "LinkedIn Member", reduced_staff_list) + ) + + def fetch_all_info_for_employee(employee: Staff, index: int): + logger.info( + f"Fetching employee data for {employee.id} {index} / {self.num_staff}" + ) + + with ThreadPoolExecutor(max_workers=5) as executor: + tasks = {} + tasks[executor.submit(self.fetch_employee, employee)] = "employee" + tasks[executor.submit(self.fetch_skills, employee)] = "skills" + tasks[executor.submit(self.fetch_experiences, employee)] = "experiences" + tasks[executor.submit(self.fetch_certifications, employee)] = ( + "certifications" + ) + tasks[executor.submit(self.fetch_schools, employee)] = "schools" + + for future in as_completed(tasks): + result = future.result() + if isinstance(result, TooManyRequests): + logger.debug(f"API rate limit exceeded for {tasks[future]}") + raise TooManyRequests( + f"Stopping due to API rate limit exceeded for {tasks[future]}" + ) + + if extra_profile_data: + try: + for i, employee in enumerate(non_restricted, start=1): + fetch_all_info_for_employee(employee, i) + except (BadCookies, TooManyRequests) as e: + logger.error(str(e)) + + return reduced_staff_list + + def parse_multi_exp(self, entity): + exps = [] + company = entity["titleV2"]["text"]["text"] + elements = entity["subComponents"]["components"][0]["components"][ + "pagedListComponent" + ]["components"]["elements"] + for elem in elements: + entity = elem["components"]["entityComponent"] + duration = entity["caption"]["text"] + title = entity["titleV2"]["text"]["text"] + emp_type = ( + entity["subtitle"]["text"].lower() if entity["subtitle"] else None + ) + location = entity["metadata"]["text"] if entity["metadata"] else None + from_date, to_date = utils.parse_duration(duration) + if from_date: + duration = duration.split(" · ")[1] + exp = Experience( + duration=duration, + title=title, + company=company, + emp_type=emp_type, + from_date=from_date, + to_date=to_date, + location=location, + ) + exps.append(exp) + return exps + + def parse_experiences(self, elements): + exps = [] + for elem in elements: + entity = elem["components"]["entityComponent"] + try: + if ( + not entity["subComponents"] + or not entity["subComponents"]["components"][0]["components"][ + "pagedListComponent" + ] + ): + emp_type = None + duration = entity["caption"]["text"] + from_date, to_date = utils.parse_duration(duration) + if from_date: + duration = duration.split(" · ")[1] + company = entity["subtitle"]["text"] if entity["subtitle"] else None + title = entity["titleV2"]["text"]["text"] + location = ( + entity["metadata"]["text"] if entity["metadata"] else None + ) + parts = company.split(" · ") + if len(parts) > 1: + company = parts[0] + emp_type = parts[-1].lower() + exp = Experience( + duration=duration, + title=title, + company=company, + emp_type=emp_type, + from_date=from_date, + to_date=to_date, + location=location, + ) + exps.append(exp) + + else: + multi_exps = self.parse_multi_exp(entity) + exps += multi_exps + + except Exception as e: + logger.exception(e) + + return exps + + def parse_skills(self, sections): + skills = [] + for section in sections: + elems = section["subComponent"]["components"]["pagedListComponent"][ + "components" + ]["elements"] + for elem in elems: + entity = elem["components"]["entityComponent"] + skill = entity["titleV2"]["text"]["text"] + try: + endorsements = int( + entity["subComponents"]["components"][0]["components"][ + "insightComponent" + ]["text"]["text"]["text"].replace(" endorsements", "") + ) + except: + endorsements = None + skills.append(Skill(name=skill, endorsements=endorsements)) + return skills diff --git a/staffspy/linkedin/linkedin.py b/staffspy/linkedin/linkedin.py index 1101ee2..fca7e9a 100644 --- a/staffspy/linkedin/linkedin.py +++ b/staffspy/linkedin/linkedin.py @@ -28,8 +28,8 @@ class LinkedInScraper: company_id_ep = "https://www.linkedin.com/voyager/api/organization/companies?q=universalName&universalName=" location_id_ep = "https://www.linkedin.com/voyager/api/graphql?queryId=voyagerSearchDashReusableTypeahead.57a4fa1dd92d3266ed968fdbab2d7bf5&queryName=SearchReusableTypeaheadByType&variables=(query:(showFullLastNameForConnections:false,typeaheadFilterQuery:(geoSearchTypes:List(MARKET_AREA,COUNTRY_REGION,ADMIN_DIVISION_1,CITY))),keywords:{location},type:GEO,start:0)" - def __init__(self, session_file): - self.session = utils.load_session(session_file) + def __init__(self, session_file, username, password, capsolver_api_key): + self.session = utils.load_session(session_file, username, password, capsolver_api_key) ( self.company_id, self.staff_count, diff --git a/staffspy/models.py b/staffspy/models.py index 9ae8450..24f1c26 100644 --- a/staffspy/models.py +++ b/staffspy/models.py @@ -97,7 +97,7 @@ class Staff(BaseModel): def to_dict(self): sorted_schools = sorted( self.schools, key=lambda x: (x.end_date is None, x.end_date), reverse=True - ) + ) if self.schools else [] top_three_school_names = [school.school for school in sorted_schools[:3]] top_three_school_names += [None] * (3 - len(top_three_school_names)) @@ -107,7 +107,7 @@ def to_dict(self): self.experiences, key=lambda x: (x.end_date is None, x.end_date), reverse=True, - ) + ) if self.experiences else [] top_three_companies = [exp.company for exp in sorted_experiences[:3]] top_three_companies += [None] * (3 - len(top_three_companies)) @@ -160,7 +160,7 @@ def estimate_age_based_on_education(self): sorted_schools = sorted( [school for school in self.schools if school.start_date], key=lambda x: x.start_date, - ) + ) if self.schools else [] current_date = datetime.now().date() for school in sorted_schools: diff --git a/staffspy/utils.py b/staffspy/utils.py index 1cfd966..3a64274 100644 --- a/staffspy/utils.py +++ b/staffspy/utils.py @@ -4,13 +4,14 @@ import re import sys from datetime import datetime +from urllib.parse import quote from dateutil.parser import parse import requests import tldextract -from selenium import webdriver -from selenium.common.exceptions import WebDriverException +from bs4 import BeautifulSoup +from staffspy.capsolver import capsolver logger = logging.getLogger("StaffSpy") logger.propagate = False @@ -42,7 +43,13 @@ def create_email(first, last, domain): def get_webdriver(): - for browser in [webdriver.Firefox, webdriver.Chrome]: + try: + from selenium import webdriver + from selenium.common.exceptions import WebDriverException + except ImportError as e: + raise Exception('install package `pip install staffspy[browser]` to login with browser') + + for browser in [webdriver.Chrome, webdriver.Firefox]: try: return browser() except WebDriverException: @@ -50,34 +57,148 @@ def get_webdriver(): return None -def login(): - driver = get_webdriver() +class Login: - if driver is None: - logger.debug("No browser found for selenium") - sys.exit(1) + def __init__(self, username,password, capsolver_api_key): + self.username,self.password,self.capsolver_api_key=username,password,capsolver_api_key - driver.get("https://linkedin.com/login") - input("Press enter after logged in") + def solve_captcha(self, session,data,payload): + url=data['challenge_url'] + r=session.post(url, data=payload) - selenium_cookies = driver.get_cookies() - driver.quit() + soup = BeautifulSoup(r.text, 'html.parser') - session = requests.Session() - for cookie in selenium_cookies: - session.cookies.set(cookie["name"], cookie["value"]) + code_tag = soup.find('code', id='securedDataExchange') - user_agent = "Mozilla/5.0 (Linux; U; Android 4.4.2; en-us; SCH-I535 Build/KOT49H) AppleWebKit/534.30 (KHTML, like Gecko) Version/4.0 Mobile Safari/534.30" - session.headers.update( - { - "User-Agent": user_agent, - "X-RestLi-Protocol-Version": "2.0.0", - "X-Li-Track": '{"clientVersion":"1.13.1665"}', + if code_tag: + comment = code_tag.contents[0] + extracted_code = str(comment).strip("").strip() + logger.debug("Extracted captcha blob:", extracted_code) + else: + raise Exception('blob to solve captcha not found') + + token = capsolver(extracted_code,self.capsolver_api_key) + if not token: + raise Exception('failed to solve captcha after 10 attempts') + + captcha_site_key = soup.find('input', {'name': 'captchaSiteKey'})['value'] + challenge_id = soup.find('input', {'name': 'challengeId'})['value'] + challenge_data = soup.find('input', {'name': 'challengeData'})['value'] + challenge_details = soup.find('input', {'name': 'challengeDetails'})['value'] + challenge_type = soup.find('input', {'name': 'challengeType'})['value'] + challenge_source = soup.find('input', {'name': 'challengeSource'})['value'] + request_submission_id = soup.find('input', {'name': 'requestSubmissionId'})['value'] + display_time = soup.find('input', {'name': 'displayTime'})['value'] + page_instance = soup.find('input', {'name': 'pageInstance'})['value'] + failure_redirect_uri = soup.find('input', {'name': 'failureRedirectUri'})['value'] + sign_in_link = soup.find('input', {'name': 'signInLink'})['value'] + join_now_link = soup.find('input', {'name': 'joinNowLink'})['value'] + for cookie in session.cookies: + if cookie.name == 'JSESSIONID': + jsession_value = cookie.value.split('ajax:')[1].strip('"') + break + else: + raise Exception('jsessionid not found, raise issue on GitHub') + csrf_token=f"ajax:{jsession_value}" + payload = { + "csrfToken":csrf_token, + "captchaSiteKey":captcha_site_key, + "challengeId":challenge_id, + "language":"en-US", + "displayTime":display_time, + "challengeType":challenge_type, + "challengeSource":challenge_source, + "requestSubmissionId":request_submission_id, + "captchaUserResponseToken":token, + "challengeData":challenge_data, + "pageInstance":page_instance, + "challengeDetails":challenge_details, + "failureRedirectUri":failure_redirect_uri, + "signInLink":sign_in_link, + "joinNowLink":join_now_link, + "_s":"CONSUMER_LOGIN" + } + encoded_payload = {key: f'{quote(str(value), "")}' for key, value in payload.items()} + query_string = '&'.join([f'{key}={value}' for key, value in encoded_payload.items()]) + response=session.post("https://www.linkedin.com/checkpoint/challenge/verify", data=query_string) + pass + + if not response.ok: + raise Exception(f'verify captcha failed {response.text[:200]}') + + def login_requests(self): + + url = "https://www.linkedin.com/uas/authenticate" + + encoded_username = quote(self.username) + encoded_password = quote(self.password) + session = requests.Session() + session.headers = { + "X-Li-User-Agent": "LIAuthLibrary:44.0.* com.linkedin.LinkedIn:9.29.8962 iPhone:17.5.1", + "User-Agent": "LinkedIn/9.29.8962 CFNetwork/1496.0.7 Darwin/23.5.0", + "X-User-Language": "en", + "X-User-Locale": "en_US", + "Accept-Language": "en-us", } - ) - session = set_csrf_token(session) - return session + response = session.get(url) + if response.status_code != 200: + raise Exception(f"failed to begin auth process: {response.status_code} {response.text}") + for cookie in session.cookies: + if cookie.name == 'JSESSIONID': + jsession_value = cookie.value.split('ajax:')[1].strip('"') + break + else: + raise Exception('jsessionid not found, raise issue on GitHub') + session.headers['content-type'] = "application/x-www-form-urlencoded" + csrf_token=f"ajax%3A{jsession_value}" + payload = f"session_key={encoded_username}&session_password={encoded_password}&JSESSIONID=%22{csrf_token}%22" + response = session.post(url, data=payload) + data=response.json() + + if data['login_result']=='CHALLENGE': + self.solve_captcha(session,data,payload) + + session.headers.update( + { + "User-Agent": "Mozilla/5.0 (Linux; U; Android 4.4.2; en-us; SCH-I535 Build/KOT49H) AppleWebKit/534.30 (KHTML, like Gecko) Version/4.0 Mobile Safari/534.30", + "X-RestLi-Protocol-Version": "2.0.0", + "X-Li-Track": '{"clientVersion":"1.13.1665"}', + } + ) + + session = set_csrf_token(session) + return session + + def login_browser(self): + """Backup login method""" + driver = get_webdriver() + + if driver is None: + logger.debug("No browser found for selenium") + sys.exit(1) + + driver.get("https://linkedin.com/login") + input("Press enter after logged in") + + selenium_cookies = driver.get_cookies() + driver.quit() + + session = requests.Session() + for cookie in selenium_cookies: + session.cookies.set(cookie["name"], cookie["value"]) + + user_agent = "Mozilla/5.0 (Linux; U; Android 4.4.2; en-us; SCH-I535 Build/KOT49H) AppleWebKit/534.30 (KHTML, like Gecko) Version/4.0 Mobile Safari/534.30" + session.headers.update( + { + "User-Agent": user_agent, + "X-RestLi-Protocol-Version": "2.0.0", + "X-Li-Track": '{"clientVersion":"1.13.1665"}', + } + ) + + session = set_csrf_token(session) + return session def save_session(session, session_file): @@ -86,11 +207,15 @@ def save_session(session, session_file): pickle.dump(data, f) -def load_session(session_file): +def load_session(session_file, username: str, password: str, capsolver_api_key: str): + login_obj=Login(username,password,capsolver_api_key) if not session_file or not os.path.exists(session_file): - session = login() + if username and password: + session = login_obj.login_requests() + else: + session = login_obj.login_browser() if not session: - sys.exit("Failed to log in.") + raise Exception("Failed to log in.") if session_file: save_session(session, session_file) else: